Scaling laws are addressed by analysing moments of velocity increments which obtained by Particle-image Velocimetry(PIV)system in the boundary layer of a flat plate.In the paper,we measure the moments of increments of...Scaling laws are addressed by analysing moments of velocity increments which obtained by Particle-image Velocimetry(PIV)system in the boundary layer of a flat plate.In the paper,we measure the moments of increments of upstream velocity(u'),longitudinal velocity(v')and ponderance of vorticity(dv'/dx)at Reθ=2167 in different wall distance and verify the anomaly of the scaling exponents of high-order structure functions with the increasing order of the moments,discuss the scaling of non-integer moments of order between+2 and-1.The difference of scaling exponents of low-order structure functions between the experimental data and Kolmogorov's,SL's(She & Leveque)prediction increases as the moment order decreases toward-1,which shows that the anomaly is manifested in low-oeder moments as well.However,for same order structure functions,the scaling exponents of v' and dv'/dx are not changeable in different wall distance.展开更多
OBJECTIVE:To investigate the effects of electroacupuncture intervention on behavioral performance,hippocampal structure,and function in chronic fatigue syndrome(CFS)rats and to explore the underlying mechanisms.METHOD...OBJECTIVE:To investigate the effects of electroacupuncture intervention on behavioral performance,hippocampal structure,and function in chronic fatigue syndrome(CFS)rats and to explore the underlying mechanisms.METHODS:Specific pathogen free-grade male SpragueDawley rats were randomly allocated into a control group(Con group,n=12)and a modeling group.The latter underwent a 21-d CFS induction via an improved chronic multi-factor compound stress stimulation protocol.Successfully modeled CFS rats were then randomly assigned to a model group(Mod group,n=12)and an electroacupuncture group(EA group,n=12).During the 14-d treatment period,both the Mod and EA groups continued to receive chronic stress stimuli.Rats in the EA group received electroacupuncture at Shenting(GV24)through to Baihui(GV20),with additional stimulation on Dazhui(GV14).Each session lasted 15 min,administered twice daily with a 6-h interval between morning and afternoon treatments.After modeling and treatment,the general semi-quantitative score(GSQS)was used to evaluate the rats'general health,while the Morris water maze test(MWMT),open field test(OFT),and exhaustive treadmill test(ETT)were applied to assess their learning/memory,emotional state,and fatigue levels,respectively(n=12 per group).After the treatment phase,cerebral glucose metabolism was assessed by 1fluorodeoxyglucose positron emission tomography/computed tomography(18F-FDG PET/CT)imaging(n=3 per group),while hippocampal cornu ammonis 1(CA1)morphology was examined using hematoxylin-eosin(HE)and Nissl staining(n=3 per group).RESULTS:Behavioral assessments demonstrated that electroacupuncture intervention significantly improved rat performance as measured by GSQS,MWMT,OFT,and Exhaustive Treadmill Test.Both HE and Nissl staining results confirmed that,compared with the blank control group,the model group exhibited abnormal cellular morphology,disorganized arrangement,and reduced Nissl bodies in the hippocampal CA1 region.These pathological alterations were ameliorated in the electroacupuncture group relative to the model group.18F-FDG PET/CT imaging revealed that following treatment,the mean and maximum standardized uptake values(SUV)in the anterior-dorsal and posterior hippocampus were significantly decreased in the Mod group compared to the Con group.In contrast,electroacupuncture treatment significantly increased both SUV-mean and SUV-max in these hippocampal subregions in the EA group relative to the Mod group(all P<0.05).CONCLUSION:Electroacupuncture intervention alleviated cognitive impairment,hippocampal pathological structural changes,and glucose metabolism dysfunction in a rat model of chronic fatigue syndrome induced by an improved chronic multi-factor compound stress stimulation method.展开更多
Understanding how landscape and habitat characteristics shape species diversity and community structure in fragmented habitats offers insights into the impact of fragmentation on biodiversity.However,relying solely on...Understanding how landscape and habitat characteristics shape species diversity and community structure in fragmented habitats offers insights into the impact of fragmentation on biodiversity.However,relying solely on taxonomic metrics is insufficient to reveal their effects;incorporating functional and phylogenetic dimensions,while accounting for the complex(direct and indirect)relationships between landscape and habitat characteristics,is essential for elucidating the mechanisms of community assembly.By investigating birds in 30 remnant woodlot patches(0.3–290.4 ha)within an urban landscape,Southwest China,during the breeding seasons from 2017 to 2023,we examined the influence of landscape characteristics(i.e.,patch area,isolation,and shape index)and habitat characteristics(including habitat composition and woody plant richness)on their functional and phylogenetic diversity and structure.We recorded 80 bird species,with species richness per patch varying from 14 to 58.Both functional and phylogenetic diversity increased with patch area and woody plant richness but decreased with isolation,which was measured as the percentage of built-up area within a 500 m buffer surrounding patches.Bird communities in most patches showed a trend toward functional and phylogenetic clustering.Functional clustering intensified with increasing isolation but weakened with higher woody plant richness,while phylogenetic clustering weakened as the proportion of croplands increased.The results suggest that landscape and habitat characteristics jointly explain the fragmentation effects on functional and phylogenetic diversity and structure of bird communities,with environmental filtering and niche differentiation-based competition likely acting as context-dependent underlying mechanisms.These findings highlight the importance of protecting and restoring large habitat patches with greater plant richness,expanding green spaces,allotment gardens,or corridors,and minimizing the density of built-up areas across the landscape to maintain functionally or phylogenetically diverse communities in urban environments.展开更多
Cerebral small vessel disease(CSVD)encompasses a spectrum of pathological processes that affect the small arteries,capillaries,and venules of the brain.The neuroimaging features include white matter hyperintensities(W...Cerebral small vessel disease(CSVD)encompasses a spectrum of pathological processes that affect the small arteries,capillaries,and venules of the brain.The neuroimaging features include white matter hyperintensities(WMH),lacunar infarcts,cerebral microbleeds,and enlarged perivascular spaces.展开更多
Functionally graded cellular structures(FGCSs)have a multitude of applications to a wide range of industries.Utilising the ever-progressing technology of additive manufacturing(AM),FGCSs can be applied to control mate...Functionally graded cellular structures(FGCSs)have a multitude of applications to a wide range of industries.Utilising the ever-progressing technology of additive manufacturing(AM),FGCSs can be applied to control material grading and achieve the desired mechanical properties.The current study explores the design and optimisation of FGCSs for AM,with a focus on improving the compression and impact performance of below knee(BK)prosthetic limbs made of thermoplastic polyurethane(TPU).A multiscale research methodology integrating topology optimization(TO),finite element analysis(FEA),and design of experiments(Do E)was adopted to optimise lattice structures in terms of stiffness and lightweight properties.Two-unit cell designs were considered in the study:Schwarz P gyroid and body-centered cubic(BCC).Response surface methodology(RSM)was implemented to analyse the effect of minimum and maximum cell wall thickness,cell size,and unit cell type on the mechanical performance of TPU FGCS structures.The results indicated that a Schwarz P FGCS structure with cell size,minimum and maximum cell wall thickness of 6,0.9 and 2.8 mm,respectively,could be optimal for a compromise between performance and weight.In this optimized case,stiffness and volume fraction values of 684 N/mm and 0.64 were obtained,respectively.The study also presents a proof-of-concept design for a BK prosthetic damper,highlighting the potential of FGCSs to enhance patient comfort,reduce manufacturing costs,and enable personalised designs through 3D scanning and AM.The obtained results could be a step forward towards the incorporation of AM technologies in prosthetics,offering a pathway to lightweight,cost-effective,and functionally tailored solutions.展开更多
Understanding the acid resistance mechanism of S.mutans is crucial for preventing dental caries.FtsZ is the core protein for cell division in bacteria that can polymerize into Z-rings and drive cytokinesis.Our previou...Understanding the acid resistance mechanism of S.mutans is crucial for preventing dental caries.FtsZ is the core protein for cell division in bacteria that can polymerize into Z-rings and drive cytokinesis.Our previous study revealed that the FtsZ in S.mutans(SmFtsZ) has higher self-assembly and GTPase activity under acidic stress,which may be responsible for acid resistance and ca riogenesis of S.mutans.However,the functional structure mechanism of SmFtsZ under low pH conditions is still unclear.Here,we further reported the crystal structure of S.mutans FtsZ,revealing a unique lateral interface.Through protein polymerization and GTPase activity assay,we experimentally demonstrated that the mutation of Arg68 on this lateral interface significantly reduced the functional activity of FtsZ in an acidic environment.The phenotype assay and rat caries model further showed that the mutation of Arg68 effectively inhibited the acid resistance of S.mutans and the occurrence and progress of dental caries in vivo.By employing a molecular dynamics simulation analysis,we conclude that the mutation of Arg68 disrupts the conformation change necessary for SmFtsZ polymerization under acidic conditions.Our study proposes a novel mechanism to maintain FtsZ function in bacteria and could be a potential target for antimicrobial drugs to inhibit the growth of S.mutans in acidic environments.展开更多
AIM:To investigate the effects of shortening the duration of silicone oil tamponade on retinal structure and function in patients undergoing silicone oil removal(SOR)after surgery for primary rhegmatogenous retinal de...AIM:To investigate the effects of shortening the duration of silicone oil tamponade on retinal structure and function in patients undergoing silicone oil removal(SOR)after surgery for primary rhegmatogenous retinal detachment(RRD).METHODS:A total of 58 eligible patients were enrolled and randomly assigned to two groups based on tamponade duration:the short-term group(30-45d)and the conventional group(≥90d).Comprehensive evaluations were performed before and after SOR,including slitlamp examination,best-corrected visual acuity(BCVA)measurement,intraocular pressure(IOP)testing,optical coherence tomography(OCT),optical coherence tomography angiography(OCTA),microperimetry,electroretinography(ERG),and visual evoked potential(VEP)assessment.RESULTS:A total of 33 patients(23 males and 10 females;33 eyes)were enrolled in the short-term SO tamponade group with mean age of 52.45±9.35y,and 25 patients(15 males and 10 females;25 eyes)were enrolled in the conventional SO tamponade group with mean age of 50.80±12.06y.Compared with the conventional group,the short-term silicone oil tamponade group had a significantly lower incidence of silicone oil emulsification and cataract progression,with no significant difference in retinal reattachment success rate.Structurally,short-term tamponade was associated with increased thickness of the retinal ganglion cell layer(RGCL)in the nasal and superior macular regions and improved recovery of superficial retinal vascular density in these areas.Functionally,the shortterm group showed better BCVA and retinal sensitivity both before and 1mo after SOR;additionally,the P100 amplitude in VEP tests was significantly increased in this group.CONCLUSION:Shortening the duration of silicone oil tamponade effectively reduces damage to retinal structure and function without compromising the success rate of retinal reattachment in patients with primary RRD.展开更多
Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult t...Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.展开更多
Hydrogel scaffolds have numerous potential applications in the tissue engineering field.However,tough hydrogel scaffolds implanted in vivo are seldom reported because it is difficult to balance biocompatibility and hi...Hydrogel scaffolds have numerous potential applications in the tissue engineering field.However,tough hydrogel scaffolds implanted in vivo are seldom reported because it is difficult to balance biocompatibility and high mechanical properties.Inspired by Chinese ramen,we propose a universal fabricating method(printing-P,training-T,cross-linking-C,PTC&PCT)for tough hydrogel scaffolds to fill this gap.First,3D printing fabricates a hydrogel scaffold with desired structures(P).Then,the scaffold could have extraordinarily high mechanical properties and functional surface structure by cycle mechanical training with salting-out assistance(T).Finally,the training results are fixed by photo-cross-linking processing(C).The tough gelatin hydrogel scaffolds exhibit excellent tensile strength of 6.66 MPa(622-fold untreated)and have excellent biocompatibility.Furthermore,this scaffold possesses functional surface structures from nanometer to micron to millimeter,which can efficiently induce directional cell growth.Interestingly,this strategy can produce bionic human tissue with mechanical properties of 10 kPa-10 MPa by changing the type of salt,and many hydrogels,such as gelatin and silk,could be improved with PTC or PCT strategies.Animal experiments show that this scaffold can effectively promote the new generation of muscle fibers,blood vessels,and nerves within 4 weeks,prompting the rapid regeneration of large-volume muscle loss injuries.展开更多
The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equ...The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equivariant message passing neural networks(MPNNs)that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory(DFT)Hamiltonian predictions.However,the high-order tensors used to represent node and edge information are coupled through the Clebsch–Gordan tensor product,leading to steep increases in computational complexity and seriously hindering the performance of equivariant MPNNs.Here,we develop high-order tensor machine-learning Hamiltonian(Hot-Ham),an E(3)equivariant MPNN framework that combines two advanced technologies:local coordinate transformation and Gaunt tensor product to efficiently model DFT Hamiltonians.These two innovations significantly reduce the complexity of tensor products from O(L6)to O(L3)or O(L2log2L)for the max tensor order L,and enhance the performance of MPNNs.Benchmarks on several public datasets demonstrate its state-of-the-art accuracy with relatively few parameters,and applications to multilayer twisted moire systems,heterostructures,and allotropes showcase its generalization ability and high efficiency.Our Hot-Ham method provides a new perspective for developing efficient equivariant neural networks and would be a promising approach for investigating the electronic properties of large-scale materials systems.展开更多
Microbial corrosion of hydraulic concrete structures(HCSs)has received increasing research concerns.However,knowledge on the morphology of attached biofilms,as well as the community structures and functions cultivated...Microbial corrosion of hydraulic concrete structures(HCSs)has received increasing research concerns.However,knowledge on the morphology of attached biofilms,as well as the community structures and functions cultivated under variable nutrient levels is lacking.Here,biofilm colonization patterns and community structures responding to variable levels of ammonia and sulfate were explored.From field sampling,NH4+-N was proven key factor governing community structure in attached biofilms,verifying the reliability of selecting target nutrient species in batch experiments.Biofilms exhibited significant compositional differences in field sampling and incubation experiments.As the nutrient increased in batch experiments,the growth of biofilms gradually slowed down and uneven distribution was detected.The proportions of proteins and β-d-glucose polysaccharides in biofilms experienced a decrease in response to elevated levels of nutrients.With the increased of nutrients,themass losses of concretes exhibited an increase,reaching a highest value of 2.37%in the presence of 20 mg/L of ammonia.Microbial communities underwent a significant transition in structure and metabolic functions to ammonia gradient.The highest activity of nitrification was observed in biofilms colonized in the presence of 20 mg/L of ammonia.While the communities and their functions remained relativelymore stable responding to sulfate gradient.Our research provides novel insights into the structures of biofilms attached on HCSs and the metabolic functions in the presence of high level of nutrients,which is of significance for the operation and maintenance of hydraulic engineering structures.展开更多
Mimicking the electric microenvironment of natural tissue is a promising strategy for developing biomedical implants. However, current research has not taken biomimetic electrical functional units into consideration w...Mimicking the electric microenvironment of natural tissue is a promising strategy for developing biomedical implants. However, current research has not taken biomimetic electrical functional units into consideration when designing biomedical implants. In this research, ordered structures with Schottky heterojunction functional unit (OSSH) were constructed on titanium implant surfaces for bone regeneration regulation. The Schottky heterojunction functional unit is composed of periodically distributed titanium microdomain and titanium oxide microdomain with different carrier densities and surface potentials. The OSSH regulates the M2-type polarization of macrophages to a regenerative immune response by activating the PI3K-AKT-mTOR signal pathway and further promotes osteogenic differentiation of rat bone marrow mesenchymal stem cells. This work provides fundamental insights into the biological effects driven by the Schottky heterojunction functional units that can electrically modulate osteogenesis.展开更多
Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infras...Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infrastructure,recognized as biodiversity hotspots in urban landscapes,influence urban bird beta diversity remain insufficiently understood.This study was conducted in the built-up area of Yinchuan,an internationally recognized wetland city in Northwest China.From December 2023 to June 2024,we systematically surveyed bird communities during both the breeding and wintering periods across 29 blue-green space mosaics.We quantified taxonomic,functional,and phylogenetic beta diversity,along with their turnover component and nestedness-resultant component,based on both pairwise beta diversity and multiple-site beta diversity.We further assessed the relative importance of landscape variables and spatial geographic distance in shaping beta diversity patterns and used hierarchical modeling of species communities(HMSC)to explore the responses of bird occurrence and functional traits to landscape variables.Our results revealed that species turnover was the dominant driver of taxonomic,functional,and phylogenetic beta diversity.Seasonal differences were observed in the effects of spatial geographic distance and landscape structure on beta diversity and its components,with landscape variables showing higher explanatory power than geographic isolation.In the breeding period,landscape diversity and waterbody area had positive effects on bird occurrence,whereas in the wintering period,most landscape features—except for landscape diversity—exerted neutral or negative influences.Regarding functional traits,we found that reproductive traits,flight ability,and foraging characteristics responded significantly to landscape structure,and that some small-bodied species active in aerial and canopy layers were more adaptable to habitat fragmentation.This study provides novel insights into the assembly processes and driving mechanisms of urban bird communities and offers scientific support for the notion that designing and maintaining blue-green infrastructure can contribute to urban biodiversity conservation.展开更多
Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, w...Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.展开更多
The effects of different Gd contents on microstructure and mechanical properties of 00Cr23Ni8Mo1.4Mn1.4Si0.5alloy were researched.Results indicate that element Gd exists mainly in three forms in the alloy:Gd2O3,...The effects of different Gd contents on microstructure and mechanical properties of 00Cr23Ni8Mo1.4Mn1.4Si0.5alloy were researched.Results indicate that element Gd exists mainly in three forms in the alloy:Gd2O3,M12Gd,and M3Gd phases(M=Fe,Cr,Ni).With the increase in Gd content,the contents of Gd-containing precipitate and ferrite phase are increased,whereas the austenite phase content is decreased.The Gd oxide and precipitation of two Gd-containing phases are the main causes of cracking in the alloy during the hot deformation process.The partially aggregated Gd oxide particles and the difficult-to-deform Gd-containing precipitates on the grain boundary jointly decrease the hot ductility of the alloy.With the increase in amount of Gd addition,the tensile strength and section shrinkage ratio of the alloy are decreased.Furthermore,M3Gd is harder and more brittle,compared with M12Gd,resulting in a more detrimental impact on the mechanical properties of alloy.展开更多
For the optimization of fundamental eigenfrequency in vibrating structures,it has been proven that multi-scale structures have advantages over single scale structures.This study introduces a two-scale topology optimiz...For the optimization of fundamental eigenfrequency in vibrating structures,it has been proven that multi-scale structures have advantages over single scale structures.This study introduces a two-scale topology optimization method using a data-driven microstructure model based on a multiple variable cutting(M-VCUT)level set approach.This method aims to maximize the fundamental eigenfrequency of two-scale structures.The method consists of two parts:offline database construction and online topology optimization.In the process of offline database construction,many microstructures are obtained by varying the value of geometric parameters according to the M-VCUT level set approach;then,a mapping relationship between the geometric parameters and the homogenized mechanical properties of microstructures is established by compactly supported radial basis function interpolation,which gives the data-driven microstructure model.In the process of online optimization,the homogenized mechanical properties corresponding to arbitrary design variables are obtained by using the data-driven microstructure model,whose computational costs are much less than those of the homogenization.Topology optimization is carried out with this data-driven model to enhance computational efficiency.In order to adapt the method of moving asymptotes(MMA),the eigenfrequency maximization problem is converted to its reciprocal minimization problem for sensitivity calculation.The method’s effectiveness is proved through several numerical examples.展开更多
In response to the growing need for adaptive optimization algorithms capable of handling complex,multimodal,and high-dimensional search spaces,this paper introduces the Structured Random Cycle-guided Algorithm(SRCA).S...In response to the growing need for adaptive optimization algorithms capable of handling complex,multimodal,and high-dimensional search spaces,this paper introduces the Structured Random Cycle-guided Algorithm(SRCA).SRCA is not presented as a fundamentally new optimization paradigm,but rather as an architectural synthesis and a unified adaptive framework for dynamic operator selection.Based on a cycle-structured architecture,directional and stochastic search behaviors are dynamically selected at the individual level.The algorithm orchestrates well-established structured movements with a diverse pool of stochastic exploration strategies,enabling a coherent and adaptive balance between exploration and exploitation throughout the optimization process.Unlike traditional metaheuristics that rely on fixed behavioral roles or static movement schemes,SRCA allows each individual to adapt its search strategy based on real-time population feedback,monitored through convergence and dispersion indicators.The performance of SRCA is quantitatively assessed under strictly identical experimental conditions on a comprehensive set of 23 benchmark functions,including multimodal and high-dimensional problems,as well as on six classical constrained engineering design problems.Numerical results demonstrate competitive convergence reliability and robustness across diverse optimization tasks,confirming the effectiveness of the proposed adaptive cycle-based framework.展开更多
Ganoderma polysaccharides(GPs),derived from various species of the Ganoderma genus,exhibit diverse bioactivities,including immune modulation,anti-tumor effects,and gut microbiota regulation.These properties position G...Ganoderma polysaccharides(GPs),derived from various species of the Ganoderma genus,exhibit diverse bioactivities,including immune modulation,anti-tumor effects,and gut microbiota regulation.These properties position GPs as dual-purpose agents for medicinal and functional food development.This review comprehensively explores the structural complexity of six key GPs and their specific mechanisms of action,such as TLR signaling in immune modulation,apoptosis pathways in anti-tumor activity,and their prebiotic effects on gut microbiota.Additionally,the structure-activity relationships(SARs)of GPs are highlighted to elucidate their biological efficacy.Advances in green extraction techniques,including ultrasonic-assisted and enzymatic methods,are discussed for their roles in enhancing yield and aligning with sustainable production principles.Furthermore,the review addresses biotechnological innovations in polysaccharide biosynthesis,improving production efficiency and making large-scale production feasible.These insights,combined with ongoing research into their bioactivity,provide a solid foundation for developing health-promoting functional food products that incorporate GPs.Furthermore,future research directions are suggested to optimize biosynthesis pathways and fully harness the health benefits of these polysaccharides.展开更多
Pain-induced emotions are the negative moods caused by pain,such as depression and anxiety.Acupunc-ture can effectively relieve pain-induced emotions,and its mechanism is closely related to the regulation of neuroplas...Pain-induced emotions are the negative moods caused by pain,such as depression and anxiety.Acupunc-ture can effectively relieve pain-induced emotions,and its mechanism is closely related to the regulation of neuroplasticity.Neuroplasticity is composed of two types,functional neuroplasticity and structural neuroplasticity.(1)Acupuncture improves functional neuroplasticity by inhibiting the activation of mi-croglia and astrocytes,regulating the expression of neurotransmitters and receptors,modulating cellular signal transduction pathways,and optimizing synaptic transmission efficiency.(2)Acupuncture improves structural neuroplasticity by modulating neuronal synaptic plasticity,inhibiting neuronal apoptosis,and up-regulating the expression of the BDNF/TrKB/CREB signaling pathway.Additionally,acupuncture up-regulates the expression of brain-derived neurotrophic factors to improve both the functional and struc-tural neuroplasticity,thus relieves pain-induced emotions.The above discovery provides an approach to the mechanism research of acupuncture for pain-induced emotions.展开更多
Based on the observational data from 60 short-period stations deployed in the Jishishan M6.2 earthquake epicenter and adjacent regions(Gansu Province,2023),this study inverted the near-surface S-wave velocity structur...Based on the observational data from 60 short-period stations deployed in the Jishishan M6.2 earthquake epicenter and adjacent regions(Gansu Province,2023),this study inverted the near-surface S-wave velocity structure through teleseismic receiver function analysis by using the amplitude of direct P-wave.The results reveal that the epicentral area(Liugou Township and surroundings)exhibits markedly low S-wave velocities of 400-600 m/s,with a mean value of(500±50)m/s.In contrast,intermountain basins-Guanting Basin and Dahejia Basin-demonstrate significantly elevated velocities,exceeding the epicentral zone by 100-300 m/s,with values concentrated at 600-900 m/s.Notably,localized areas such as Jintian Village and Caotan Village maintain stable S-wave velocities of(700±30)m/s.The western margin tectonic belt of Jishishan displays distinctive velocity differentiation:A pronounced velocity gradient zone along the 35.8°N latitude boundary separates northern areas(750 m/s).These findings demonstrate significant spatial heterogeneity in shallow S-wave velocity structures,primarily controlled by three factors:(1)topographic-geomorphic units,(2)stratigraphic lithological contrasts,and(3)anthropogenic modifications.The persistent low-velocity anomalies(<600 m/s)in the epicentral zone and northern Yellow River T2 terrace likely correlate with Quaternary unconsolidated sediments,enhanced groundwater circulation,and bedrock weathering.These results provide critical geophysical constraints for understanding both the seismogenic environment of the Jishishan earthquake and its damage distribution patterns.Furthermore,they establish a foundational framework for regional seismic intensity evaluation,site amplification analysis,and secondary hazard risk assessment.展开更多
基金Sponsored by the National Natural Science Foundation of China(Grant No.10372033)
摘要Scaling laws are addressed by analysing moments of velocity increments which obtained by Particle-image Velocimetry(PIV)system in the boundary layer of a flat plate.In the paper,we measure the moments of increments of upstream velocity(u'),longitudinal velocity(v')and ponderance of vorticity(dv'/dx)at Reθ=2167 in different wall distance and verify the anomaly of the scaling exponents of high-order structure functions with the increasing order of the moments,discuss the scaling of non-integer moments of order between+2 and-1.The difference of scaling exponents of low-order structure functions between the experimental data and Kolmogorov's,SL's(She & Leveque)prediction increases as the moment order decreases toward-1,which shows that the anomaly is manifested in low-oeder moments as well.However,for same order structure functions,the scaling exponents of v' and dv'/dx are not changeable in different wall distance.
基金National Natural Science Foundation of China(General Program):Mechanism of Electroacupuncture Regulating Mouse Double Minute 2 Ubiquitination of Postsynaptic Density protein-95 to Remodel Hippocampal Synaptic Structure and Improve Cognitive Dysfunction in Chronic Fatigue Syndrome(No.82074539)National Natural Science Foundation of China(Young Scientists Program):Role and Mechanism of Nuclear Factor Kappa B in Electroacupuncture Against Chronic Fatigue Syndrome Based on the Transforming Growth Factor-beta/Smad Signaling Pathway(No.81704170)+8 种基金Natural Science Foundation of Heilongjiang Province(General Program):Mechanism of Electroacupuncture Regulating Mitochondrial Dynamics to Promote Synaptic Remodeling in Chronic Fatigue Syndrome Rats with Cognitive Impairment(No.LH2024H050)Heilongjiang Province Postdoctoral Research Funding Program:Mechanism of Electroacupuncture Regulating p-T19 Postsynaptic Density protein-95 and Modulating Mitophagy in Synaptic Reconstruction to Improve Cognitive Impairment in Chronic Fatigue Syndrome Rats(No.LBH-Z24291)National Natural Science Foundation Cultivation Support Program(Young Scientists)of the First Affiliated Hospital of Heilongjiang University of Chinese Medicine:Mechanism of Electroacupuncture Intervention in the Butyrate Gut-brain Axis Affecting p-T19 Postsynaptic Density Protein 95 to Promote Autophagy and Improve Cognitive Impairment in Chronic Fatigue Syndrome Rats(No.PYQN202501002)National Natural Science Foundation of China(Young Scientists Program):Mechanism of Moxibustion Activating Calcium-calmodulin-dependent Protein Kinase II Phosphorylation-mediated Long-term Potentiation to Regulate Synaptic Plasticity in Treating Chronic Fatigue Syndrome Cognitive Impairment(No.82305394)Ministry of Education“Chunhui Program”Collaborative Research Project:Mechanism of the“Tongdu Yupi Tiaoshen”Acupuncture Technique in Improving Hippocampal Synaptic Plasticity in Chronic Fatigue Syndrome Cognitive Dysfunction(No.HZKY20220308-202201357)Heilongjiang Provincial Traditional Chinese Medicine Research Project:Mechanism of Electroacupuncture in Regulating Hippocampal Synaptic Plasticity in Chronic Fatigue Syndrome Rats with Cognitive Dysfunction(No.ZHY2022-136)China Association of Chinese Medicine:Chinese Medicine Young Talent Support Project(No.CACM-2023-QNRC2-A04)Heilongjiang Provincial Association of Chinese Medicine Young Talent Support Project(2022-2024):Mechanism of the“Tongdu Yupi Tiaoshen”Acupuncture Technique in Improving Hippocampal Synaptic Plasticity in Chronic Fatigue Syndrome Cognitive Dysfunction(No.2022-QNRC1-05)Heilongjiang Provincial Key Research and Development Program Project(Directed Commission):Development of a Central-peripheral closed-loop Regulation Rehabilitation Robot for Post-stroke Cognitive Impairment Based on Traditional Chinese Medicine Acupuncture Theory(No.2024ZXDXC50)。
摘要OBJECTIVE:To investigate the effects of electroacupuncture intervention on behavioral performance,hippocampal structure,and function in chronic fatigue syndrome(CFS)rats and to explore the underlying mechanisms.METHODS:Specific pathogen free-grade male SpragueDawley rats were randomly allocated into a control group(Con group,n=12)and a modeling group.The latter underwent a 21-d CFS induction via an improved chronic multi-factor compound stress stimulation protocol.Successfully modeled CFS rats were then randomly assigned to a model group(Mod group,n=12)and an electroacupuncture group(EA group,n=12).During the 14-d treatment period,both the Mod and EA groups continued to receive chronic stress stimuli.Rats in the EA group received electroacupuncture at Shenting(GV24)through to Baihui(GV20),with additional stimulation on Dazhui(GV14).Each session lasted 15 min,administered twice daily with a 6-h interval between morning and afternoon treatments.After modeling and treatment,the general semi-quantitative score(GSQS)was used to evaluate the rats'general health,while the Morris water maze test(MWMT),open field test(OFT),and exhaustive treadmill test(ETT)were applied to assess their learning/memory,emotional state,and fatigue levels,respectively(n=12 per group).After the treatment phase,cerebral glucose metabolism was assessed by 1fluorodeoxyglucose positron emission tomography/computed tomography(18F-FDG PET/CT)imaging(n=3 per group),while hippocampal cornu ammonis 1(CA1)morphology was examined using hematoxylin-eosin(HE)and Nissl staining(n=3 per group).RESULTS:Behavioral assessments demonstrated that electroacupuncture intervention significantly improved rat performance as measured by GSQS,MWMT,OFT,and Exhaustive Treadmill Test.Both HE and Nissl staining results confirmed that,compared with the blank control group,the model group exhibited abnormal cellular morphology,disorganized arrangement,and reduced Nissl bodies in the hippocampal CA1 region.These pathological alterations were ameliorated in the electroacupuncture group relative to the model group.18F-FDG PET/CT imaging revealed that following treatment,the mean and maximum standardized uptake values(SUV)in the anterior-dorsal and posterior hippocampus were significantly decreased in the Mod group compared to the Con group.In contrast,electroacupuncture treatment significantly increased both SUV-mean and SUV-max in these hippocampal subregions in the EA group relative to the Mod group(all P<0.05).CONCLUSION:Electroacupuncture intervention alleviated cognitive impairment,hippocampal pathological structural changes,and glucose metabolism dysfunction in a rat model of chronic fatigue syndrome induced by an improved chronic multi-factor compound stress stimulation method.
基金supported by the National Natural Science Foundation of China(32270540)the Joint Fund of the National Natural Science Foundation of China+1 种基金the Karst Science Research Center of Guizhou Province(U1812401)the Science and Technology Program of Guizhou Province(ZK[2021]098)。
摘要Understanding how landscape and habitat characteristics shape species diversity and community structure in fragmented habitats offers insights into the impact of fragmentation on biodiversity.However,relying solely on taxonomic metrics is insufficient to reveal their effects;incorporating functional and phylogenetic dimensions,while accounting for the complex(direct and indirect)relationships between landscape and habitat characteristics,is essential for elucidating the mechanisms of community assembly.By investigating birds in 30 remnant woodlot patches(0.3–290.4 ha)within an urban landscape,Southwest China,during the breeding seasons from 2017 to 2023,we examined the influence of landscape characteristics(i.e.,patch area,isolation,and shape index)and habitat characteristics(including habitat composition and woody plant richness)on their functional and phylogenetic diversity and structure.We recorded 80 bird species,with species richness per patch varying from 14 to 58.Both functional and phylogenetic diversity increased with patch area and woody plant richness but decreased with isolation,which was measured as the percentage of built-up area within a 500 m buffer surrounding patches.Bird communities in most patches showed a trend toward functional and phylogenetic clustering.Functional clustering intensified with increasing isolation but weakened with higher woody plant richness,while phylogenetic clustering weakened as the proportion of croplands increased.The results suggest that landscape and habitat characteristics jointly explain the fragmentation effects on functional and phylogenetic diversity and structure of bird communities,with environmental filtering and niche differentiation-based competition likely acting as context-dependent underlying mechanisms.These findings highlight the importance of protecting and restoring large habitat patches with greater plant richness,expanding green spaces,allotment gardens,or corridors,and minimizing the density of built-up areas across the landscape to maintain functionally or phylogenetically diverse communities in urban environments.
基金supported by the Brain Science and Brain-like Intelligence Technology National Science and Technology Major Project(2022ZD0211600)Hospital affiliated to Southeast University,Jiangsu Province High-Level Hospital Construction Funds(GSP-LCYJFH07)+1 种基金Natural Science Foundation of Jiangsu Province(BK20180379)China Postdoctoral Science Foundation(2023M742440)。
摘要Cerebral small vessel disease(CSVD)encompasses a spectrum of pathological processes that affect the small arteries,capillaries,and venules of the brain.The neuroimaging features include white matter hyperintensities(WMH),lacunar infarcts,cerebral microbleeds,and enlarged perivascular spaces.
基金financially supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(No.IMSIU-DDRSP2503)。
摘要Functionally graded cellular structures(FGCSs)have a multitude of applications to a wide range of industries.Utilising the ever-progressing technology of additive manufacturing(AM),FGCSs can be applied to control material grading and achieve the desired mechanical properties.The current study explores the design and optimisation of FGCSs for AM,with a focus on improving the compression and impact performance of below knee(BK)prosthetic limbs made of thermoplastic polyurethane(TPU).A multiscale research methodology integrating topology optimization(TO),finite element analysis(FEA),and design of experiments(Do E)was adopted to optimise lattice structures in terms of stiffness and lightweight properties.Two-unit cell designs were considered in the study:Schwarz P gyroid and body-centered cubic(BCC).Response surface methodology(RSM)was implemented to analyse the effect of minimum and maximum cell wall thickness,cell size,and unit cell type on the mechanical performance of TPU FGCS structures.The results indicated that a Schwarz P FGCS structure with cell size,minimum and maximum cell wall thickness of 6,0.9 and 2.8 mm,respectively,could be optimal for a compromise between performance and weight.In this optimized case,stiffness and volume fraction values of 684 N/mm and 0.64 were obtained,respectively.The study also presents a proof-of-concept design for a BK prosthetic damper,highlighting the potential of FGCSs to enhance patient comfort,reduce manufacturing costs,and enable personalised designs through 3D scanning and AM.The obtained results could be a step forward towards the incorporation of AM technologies in prosthetics,offering a pathway to lightweight,cost-effective,and functionally tailored solutions.
基金supported by the Beijing Natural Science Foundation:7222220National Natural Science Foundation of China (82001039)+2 种基金Research Foundation of Peking University School and Hospital of Stomatology:PKUSS20230117The Fundamental Research Funds for the Central UniversitiesYoung Elite Scientist Sponsorship Program by CAST (No.2019QNRC001 to Y.L.L)。
摘要Understanding the acid resistance mechanism of S.mutans is crucial for preventing dental caries.FtsZ is the core protein for cell division in bacteria that can polymerize into Z-rings and drive cytokinesis.Our previous study revealed that the FtsZ in S.mutans(SmFtsZ) has higher self-assembly and GTPase activity under acidic stress,which may be responsible for acid resistance and ca riogenesis of S.mutans.However,the functional structure mechanism of SmFtsZ under low pH conditions is still unclear.Here,we further reported the crystal structure of S.mutans FtsZ,revealing a unique lateral interface.Through protein polymerization and GTPase activity assay,we experimentally demonstrated that the mutation of Arg68 on this lateral interface significantly reduced the functional activity of FtsZ in an acidic environment.The phenotype assay and rat caries model further showed that the mutation of Arg68 effectively inhibited the acid resistance of S.mutans and the occurrence and progress of dental caries in vivo.By employing a molecular dynamics simulation analysis,we conclude that the mutation of Arg68 disrupts the conformation change necessary for SmFtsZ polymerization under acidic conditions.Our study proposes a novel mechanism to maintain FtsZ function in bacteria and could be a potential target for antimicrobial drugs to inhibit the growth of S.mutans in acidic environments.
基金Supported by the Key Science&Technology Project of Guangzhou(No.202103000045)the National Natural Science Foundation of China(No.82070972,No.82271093).
摘要AIM:To investigate the effects of shortening the duration of silicone oil tamponade on retinal structure and function in patients undergoing silicone oil removal(SOR)after surgery for primary rhegmatogenous retinal detachment(RRD).METHODS:A total of 58 eligible patients were enrolled and randomly assigned to two groups based on tamponade duration:the short-term group(30-45d)and the conventional group(≥90d).Comprehensive evaluations were performed before and after SOR,including slitlamp examination,best-corrected visual acuity(BCVA)measurement,intraocular pressure(IOP)testing,optical coherence tomography(OCT),optical coherence tomography angiography(OCTA),microperimetry,electroretinography(ERG),and visual evoked potential(VEP)assessment.RESULTS:A total of 33 patients(23 males and 10 females;33 eyes)were enrolled in the short-term SO tamponade group with mean age of 52.45±9.35y,and 25 patients(15 males and 10 females;25 eyes)were enrolled in the conventional SO tamponade group with mean age of 50.80±12.06y.Compared with the conventional group,the short-term silicone oil tamponade group had a significantly lower incidence of silicone oil emulsification and cataract progression,with no significant difference in retinal reattachment success rate.Structurally,short-term tamponade was associated with increased thickness of the retinal ganglion cell layer(RGCL)in the nasal and superior macular regions and improved recovery of superficial retinal vascular density in these areas.Functionally,the shortterm group showed better BCVA and retinal sensitivity both before and 1mo after SOR;additionally,the P100 amplitude in VEP tests was significantly increased in this group.CONCLUSION:Shortening the duration of silicone oil tamponade effectively reduces damage to retinal structure and function without compromising the success rate of retinal reattachment in patients with primary RRD.
基金National Key Research and Development Program of China,Grant/Award Number:2023YFC2410403。
摘要Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.
基金supported by the Innovative Research Group Project of the National Natural Science Foundation of China(T2121004)Key Programme(52235007)National Outstanding Youth Foundation of China(52325504).
摘要Hydrogel scaffolds have numerous potential applications in the tissue engineering field.However,tough hydrogel scaffolds implanted in vivo are seldom reported because it is difficult to balance biocompatibility and high mechanical properties.Inspired by Chinese ramen,we propose a universal fabricating method(printing-P,training-T,cross-linking-C,PTC&PCT)for tough hydrogel scaffolds to fill this gap.First,3D printing fabricates a hydrogel scaffold with desired structures(P).Then,the scaffold could have extraordinarily high mechanical properties and functional surface structure by cycle mechanical training with salting-out assistance(T).Finally,the training results are fixed by photo-cross-linking processing(C).The tough gelatin hydrogel scaffolds exhibit excellent tensile strength of 6.66 MPa(622-fold untreated)and have excellent biocompatibility.Furthermore,this scaffold possesses functional surface structures from nanometer to micron to millimeter,which can efficiently induce directional cell growth.Interestingly,this strategy can produce bionic human tissue with mechanical properties of 10 kPa-10 MPa by changing the type of salt,and many hydrogels,such as gelatin and silk,could be improved with PTC or PCT strategies.Animal experiments show that this scaffold can effectively promote the new generation of muscle fibers,blood vessels,and nerves within 4 weeks,prompting the rapid regeneration of large-volume muscle loss injuries.
基金supported by the National Natural Science Foundation of China(Grant Nos.12125404,T2495231,and 123B2049)the Basic Research Program of Jiangsu(Grant Nos.BK20233001,BK20241253,and BK20253009)+3 种基金the Jiangsu Funding Program for Excellent Postdoctoral Talent(Grant Nos.2024ZB002 and 2024ZB075)the Postdoctoral Fellowship Program of CPSF(Grant No.GZC20240695)the AI&AI for Science program of Nanjing University,the Artificial Intelligence and Quantum physics(AIQ)program of Nanjing Universitythe Fundamental Research Funds for the Central Universities。
摘要The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equivariant message passing neural networks(MPNNs)that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory(DFT)Hamiltonian predictions.However,the high-order tensors used to represent node and edge information are coupled through the Clebsch–Gordan tensor product,leading to steep increases in computational complexity and seriously hindering the performance of equivariant MPNNs.Here,we develop high-order tensor machine-learning Hamiltonian(Hot-Ham),an E(3)equivariant MPNN framework that combines two advanced technologies:local coordinate transformation and Gaunt tensor product to efficiently model DFT Hamiltonians.These two innovations significantly reduce the complexity of tensor products from O(L6)to O(L3)or O(L2log2L)for the max tensor order L,and enhance the performance of MPNNs.Benchmarks on several public datasets demonstrate its state-of-the-art accuracy with relatively few parameters,and applications to multilayer twisted moire systems,heterostructures,and allotropes showcase its generalization ability and high efficiency.Our Hot-Ham method provides a new perspective for developing efficient equivariant neural networks and would be a promising approach for investigating the electronic properties of large-scale materials systems.
基金supported by the National Key Research and Development Project of China(No.2021YFB2600200)the National Natural Science Foundation of China(Nos.52470185 and 52170159)the Open Research Fund of National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,the Fund of National Key Laboratory of Water Disaster Prevention and Key Research and Development Program of Jiangsu Province(No.BE2022601).
摘要Microbial corrosion of hydraulic concrete structures(HCSs)has received increasing research concerns.However,knowledge on the morphology of attached biofilms,as well as the community structures and functions cultivated under variable nutrient levels is lacking.Here,biofilm colonization patterns and community structures responding to variable levels of ammonia and sulfate were explored.From field sampling,NH4+-N was proven key factor governing community structure in attached biofilms,verifying the reliability of selecting target nutrient species in batch experiments.Biofilms exhibited significant compositional differences in field sampling and incubation experiments.As the nutrient increased in batch experiments,the growth of biofilms gradually slowed down and uneven distribution was detected.The proportions of proteins and β-d-glucose polysaccharides in biofilms experienced a decrease in response to elevated levels of nutrients.With the increased of nutrients,themass losses of concretes exhibited an increase,reaching a highest value of 2.37%in the presence of 20 mg/L of ammonia.Microbial communities underwent a significant transition in structure and metabolic functions to ammonia gradient.The highest activity of nitrification was observed in biofilms colonized in the presence of 20 mg/L of ammonia.While the communities and their functions remained relativelymore stable responding to sulfate gradient.Our research provides novel insights into the structures of biofilms attached on HCSs and the metabolic functions in the presence of high level of nutrients,which is of significance for the operation and maintenance of hydraulic engineering structures.
基金supported by the National Natural Science Foundation of China(Nos.52072127,52201297,U21A2055,and U22A20160)the China Postdoctoral Science Foundation(No.2022M711200)the Royal Society(No.IEC/NSFC/191344)(UK).
摘要Mimicking the electric microenvironment of natural tissue is a promising strategy for developing biomedical implants. However, current research has not taken biomimetic electrical functional units into consideration when designing biomedical implants. In this research, ordered structures with Schottky heterojunction functional unit (OSSH) were constructed on titanium implant surfaces for bone regeneration regulation. The Schottky heterojunction functional unit is composed of periodically distributed titanium microdomain and titanium oxide microdomain with different carrier densities and surface potentials. The OSSH regulates the M2-type polarization of macrophages to a regenerative immune response by activating the PI3K-AKT-mTOR signal pathway and further promotes osteogenic differentiation of rat bone marrow mesenchymal stem cells. This work provides fundamental insights into the biological effects driven by the Schottky heterojunction functional units that can electrically modulate osteogenesis.
基金supported by the National Natural Science Foundation of China(32401409)the Central Government’s Special Fund for National Key Protected Wildlife Conservation Projects in Yinchuan City(HXCG-ZC2023148,XZ-2024-16)。
摘要Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infrastructure,recognized as biodiversity hotspots in urban landscapes,influence urban bird beta diversity remain insufficiently understood.This study was conducted in the built-up area of Yinchuan,an internationally recognized wetland city in Northwest China.From December 2023 to June 2024,we systematically surveyed bird communities during both the breeding and wintering periods across 29 blue-green space mosaics.We quantified taxonomic,functional,and phylogenetic beta diversity,along with their turnover component and nestedness-resultant component,based on both pairwise beta diversity and multiple-site beta diversity.We further assessed the relative importance of landscape variables and spatial geographic distance in shaping beta diversity patterns and used hierarchical modeling of species communities(HMSC)to explore the responses of bird occurrence and functional traits to landscape variables.Our results revealed that species turnover was the dominant driver of taxonomic,functional,and phylogenetic beta diversity.Seasonal differences were observed in the effects of spatial geographic distance and landscape structure on beta diversity and its components,with landscape variables showing higher explanatory power than geographic isolation.In the breeding period,landscape diversity and waterbody area had positive effects on bird occurrence,whereas in the wintering period,most landscape features—except for landscape diversity—exerted neutral or negative influences.Regarding functional traits,we found that reproductive traits,flight ability,and foraging characteristics responded significantly to landscape structure,and that some small-bodied species active in aerial and canopy layers were more adaptable to habitat fragmentation.This study provides novel insights into the assembly processes and driving mechanisms of urban bird communities and offers scientific support for the notion that designing and maintaining blue-green infrastructure can contribute to urban biodiversity conservation.
摘要Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.
基金Ling-Chuang Research Project of China National Nuclear Corporation(CNNC-LCKY-202279)。
摘要The effects of different Gd contents on microstructure and mechanical properties of 00Cr23Ni8Mo1.4Mn1.4Si0.5alloy were researched.Results indicate that element Gd exists mainly in three forms in the alloy:Gd2O3,M12Gd,and M3Gd phases(M=Fe,Cr,Ni).With the increase in Gd content,the contents of Gd-containing precipitate and ferrite phase are increased,whereas the austenite phase content is decreased.The Gd oxide and precipitation of two Gd-containing phases are the main causes of cracking in the alloy during the hot deformation process.The partially aggregated Gd oxide particles and the difficult-to-deform Gd-containing precipitates on the grain boundary jointly decrease the hot ductility of the alloy.With the increase in amount of Gd addition,the tensile strength and section shrinkage ratio of the alloy are decreased.Furthermore,M3Gd is harder and more brittle,compared with M12Gd,resulting in a more detrimental impact on the mechanical properties of alloy.
基金supported by the National Natural Science Foundation of China(Grant No.12272144).
摘要For the optimization of fundamental eigenfrequency in vibrating structures,it has been proven that multi-scale structures have advantages over single scale structures.This study introduces a two-scale topology optimization method using a data-driven microstructure model based on a multiple variable cutting(M-VCUT)level set approach.This method aims to maximize the fundamental eigenfrequency of two-scale structures.The method consists of two parts:offline database construction and online topology optimization.In the process of offline database construction,many microstructures are obtained by varying the value of geometric parameters according to the M-VCUT level set approach;then,a mapping relationship between the geometric parameters and the homogenized mechanical properties of microstructures is established by compactly supported radial basis function interpolation,which gives the data-driven microstructure model.In the process of online optimization,the homogenized mechanical properties corresponding to arbitrary design variables are obtained by using the data-driven microstructure model,whose computational costs are much less than those of the homogenization.Topology optimization is carried out with this data-driven model to enhance computational efficiency.In order to adapt the method of moving asymptotes(MMA),the eigenfrequency maximization problem is converted to its reciprocal minimization problem for sensitivity calculation.The method’s effectiveness is proved through several numerical examples.
摘要In response to the growing need for adaptive optimization algorithms capable of handling complex,multimodal,and high-dimensional search spaces,this paper introduces the Structured Random Cycle-guided Algorithm(SRCA).SRCA is not presented as a fundamentally new optimization paradigm,but rather as an architectural synthesis and a unified adaptive framework for dynamic operator selection.Based on a cycle-structured architecture,directional and stochastic search behaviors are dynamically selected at the individual level.The algorithm orchestrates well-established structured movements with a diverse pool of stochastic exploration strategies,enabling a coherent and adaptive balance between exploration and exploitation throughout the optimization process.Unlike traditional metaheuristics that rely on fixed behavioral roles or static movement schemes,SRCA allows each individual to adapt its search strategy based on real-time population feedback,monitored through convergence and dispersion indicators.The performance of SRCA is quantitatively assessed under strictly identical experimental conditions on a comprehensive set of 23 benchmark functions,including multimodal and high-dimensional problems,as well as on six classical constrained engineering design problems.Numerical results demonstrate competitive convergence reliability and robustness across diverse optimization tasks,confirming the effectiveness of the proposed adaptive cycle-based framework.
基金supported by the National Natural Science Foundation of China(Nos.82373762,31872675)Major Special Programe of science and technology of Yunnan(202402AA310032,202305AH340005)+1 种基金the Cooperation Project with DR PLANT Company(2023)the Foundation of the State Key Laboratory of Phytochemistry and Plant Resources in West China(Nos.P2020-KF02,P2022-KF10).
摘要Ganoderma polysaccharides(GPs),derived from various species of the Ganoderma genus,exhibit diverse bioactivities,including immune modulation,anti-tumor effects,and gut microbiota regulation.These properties position GPs as dual-purpose agents for medicinal and functional food development.This review comprehensively explores the structural complexity of six key GPs and their specific mechanisms of action,such as TLR signaling in immune modulation,apoptosis pathways in anti-tumor activity,and their prebiotic effects on gut microbiota.Additionally,the structure-activity relationships(SARs)of GPs are highlighted to elucidate their biological efficacy.Advances in green extraction techniques,including ultrasonic-assisted and enzymatic methods,are discussed for their roles in enhancing yield and aligning with sustainable production principles.Furthermore,the review addresses biotechnological innovations in polysaccharide biosynthesis,improving production efficiency and making large-scale production feasible.These insights,combined with ongoing research into their bioactivity,provide a solid foundation for developing health-promoting functional food products that incorporate GPs.Furthermore,future research directions are suggested to optimize biosynthesis pathways and fully harness the health benefits of these polysaccharides.
基金Supported by 2025 Gansu Provincial College Teachers'Innovation Fund Project:2025A-1042023 Gansu Provincial Key Talent Project:Gan Group General Word[2023]No.20+2 种基金2025 Gansu Postgraduates'"Innovative Star"Project:2025CXZX-9362023 Key Project of Scientific Research and Innovation Fund of Gansu University of Traditional Chinese Medicine:2023KCZD-6Graduate Student Innovation and Entrepreneurship Fund Project of Gansu University of Traditional Chinese Medicine:2025CXCY-001。
摘要Pain-induced emotions are the negative moods caused by pain,such as depression and anxiety.Acupunc-ture can effectively relieve pain-induced emotions,and its mechanism is closely related to the regulation of neuroplasticity.Neuroplasticity is composed of two types,functional neuroplasticity and structural neuroplasticity.(1)Acupuncture improves functional neuroplasticity by inhibiting the activation of mi-croglia and astrocytes,regulating the expression of neurotransmitters and receptors,modulating cellular signal transduction pathways,and optimizing synaptic transmission efficiency.(2)Acupuncture improves structural neuroplasticity by modulating neuronal synaptic plasticity,inhibiting neuronal apoptosis,and up-regulating the expression of the BDNF/TrKB/CREB signaling pathway.Additionally,acupuncture up-regulates the expression of brain-derived neurotrophic factors to improve both the functional and struc-tural neuroplasticity,thus relieves pain-induced emotions.The above discovery provides an approach to the mechanism research of acupuncture for pain-induced emotions.
基金project is supported in part by Broadband Seismic 3D Array Detection(PhaseⅠ),Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project(Grant No.2024ZD1000300)National Natural Science Foundation of China(42204061)Gansu Jishishan 6.2 magnitude earthquake scientific investigation(DQJB23Y45)program。
摘要Based on the observational data from 60 short-period stations deployed in the Jishishan M6.2 earthquake epicenter and adjacent regions(Gansu Province,2023),this study inverted the near-surface S-wave velocity structure through teleseismic receiver function analysis by using the amplitude of direct P-wave.The results reveal that the epicentral area(Liugou Township and surroundings)exhibits markedly low S-wave velocities of 400-600 m/s,with a mean value of(500±50)m/s.In contrast,intermountain basins-Guanting Basin and Dahejia Basin-demonstrate significantly elevated velocities,exceeding the epicentral zone by 100-300 m/s,with values concentrated at 600-900 m/s.Notably,localized areas such as Jintian Village and Caotan Village maintain stable S-wave velocities of(700±30)m/s.The western margin tectonic belt of Jishishan displays distinctive velocity differentiation:A pronounced velocity gradient zone along the 35.8°N latitude boundary separates northern areas(750 m/s).These findings demonstrate significant spatial heterogeneity in shallow S-wave velocity structures,primarily controlled by three factors:(1)topographic-geomorphic units,(2)stratigraphic lithological contrasts,and(3)anthropogenic modifications.The persistent low-velocity anomalies(<600 m/s)in the epicentral zone and northern Yellow River T2 terrace likely correlate with Quaternary unconsolidated sediments,enhanced groundwater circulation,and bedrock weathering.These results provide critical geophysical constraints for understanding both the seismogenic environment of the Jishishan earthquake and its damage distribution patterns.Furthermore,they establish a foundational framework for regional seismic intensity evaluation,site amplification analysis,and secondary hazard risk assessment.