Brookhart-typeα-diimine nickel and palladium catalysts have been extensively studied over the past several decades;however,the heterogenization of these metal complexes has received much less attention.In this contri...Brookhart-typeα-diimine nickel and palladium catalysts have been extensively studied over the past several decades;however,the heterogenization of these metal complexes has received much less attention.In this contribution,we installed a trifluoroborate potassium substituent on anα-diimine framework.The ionic nature of trifluoroborate potassium endowed theα-diimine nickel complex with a strong affinity for the SiO2support,while its electron-donating nature enhanced the catalyst stability and polyethylene molecular weight.In the presence of only 100 equiv.of Et2AlCl cocatalyst,the SiO2-supported catalyst demonstrated significantly better performance than its homogeneous analog during ethylene polymerization,with extremely high activity(1.42–6.53×107g mol−1h−1)and high thermal stability.The heterogeneous system led to the formation of high-molecular-weight polyethylenes(Mn 142,500–732,800 g/mol),narrow polydispersities(2.18–3.00),tunable branching densities(21–64 per 1000 carbon atoms),and great mechanical properties.Moreover,the efficient copolymerization of ethylene with comonomers such as methyl 10-undecenoate,6-chloro-1-hexene or 5-hexenylacetate was achieved.These superior properties enabled by the trifluoroborate potassium moiety may inspire its applications in other polymerization catalyst systems.展开更多
The study of the effects of thermal damage on the mineral components,microstructure,and macroscopic physico-mechanical properties of rocks can provide valuable references for rock engineering design and long-term safe...The study of the effects of thermal damage on the mineral components,microstructure,and macroscopic physico-mechanical properties of rocks can provide valuable references for rock engineering design and long-term safety evaluations.In this work,we systematically study the evolution of microstructure and variations in the mechanical properties of granite under high-temperature conditions.The microstructural changes and macro-mechanical properties of rocks are investigated across a temperature range of 25℃–1000℃ through the application of characterization techniques,macro-mechanical experiments,and numerical simulations.High temperatures induce the gradual evolution of micropores and mesopores into macropores,culminating in a significant increase in porosity,with the most rapid rate of increase occurring at 400℃.The X-ray diffraction(XRD)results indicate that the high-temperature environment(below 1000℃)specifically affects the intensity of the maximum diffraction peaks and the half-height width(FWHM)of each mineral component in the granite.The scanning electron microscope(SEM)observation confirms the development of fracture and the reduction in cementation between mineral particles under different temperatures.Additionally,uniaxial and triaxial compression tests were conducted using the GCTS mechanical loading system.Experimental results reveal that the threshold temperature for granite damage is 400℃,and the temperature range for the brittle-ductile transition of granite lies roughly between 600℃ and 800℃.Numerical simulations were performed by employing non-homogeneous rock damage theory and a thermal-mechanical-damage coupling model.Simulated results align well with experimental data.Specifically,the simulations demonstrate that high-temperature treatment causes the redistribution of microstructure in granite,resulting in increased heterogeneity and a change in the failure morphology.展开更多
Rock damage significantly affects coupled thermo-hydro-mechanical(THM)behavior in deep geothermal exploitation through changing thermal and hydrological properties of rocks.For this,a thermo-hydro-mechanical-damage(TH...Rock damage significantly affects coupled thermo-hydro-mechanical(THM)behavior in deep geothermal exploitation through changing thermal and hydrological properties of rocks.For this,a thermo-hydro-mechanical-damage(THMD)coupled model was developed to describe the coupling between rock damage and mechanical,fluid flow and heat transfer fields.The model considers rock heterogeneity,and incorporates the Mohr-Coulomb failure criterion and the maximum tensile stress criterion to evaluate shear and tensile damage.This numerical modeling methodology was first verified against analytical solutions and experimental results,and was then used to simulate the THMD coupling behavior in deep geothermal exploitation.A coupled numerical model was set up to simulate the geothermal fluids extraction and re-injection process in a reservoir at 1 km depth over a 7-year period.Rock damage was found to accelerate the propagation of cold fronts away from the injection well,and have a distinct effect on the performance of geothermal exploitation.When the rock damage was considered,the field injectivity increases by 8.4 times,the range of cooled regions increases by 18.6 times,and the vertical deformation changes by 1.2 times after 7 years of geothermal operations,compared to the scenario where it was not considered.Parametric studies have suggested that thermal contraction dominates the rock damage evolution,and that thermal-induced rock damage only occurs at a sufficiently large temperature difference between fluids injected and the reservoir.This work underscores the importance of accurately accounting for the damage effect on reservoir response during fluid injection activities that cause significant cooling of reservoir rocks.展开更多
Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integra...Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integration progress and address the uneven issues in specific fields,this study constructed a novel seven-dimension index system of urban-rural integration,comprising free population mobility,efficient land transfer,interactive economic growth,highly-linked transportation,equal public services,joint environmental governance and unimpeded informatization between urban and rural areas.Based on a comprehensive measurement framework and multi-source panel data,we uncovered the spatial-temporal evolution of urban-rural integration in China’s 367 prefecture-level administrative units from 1980 to 2022.The results demonstrated that China’s urban-rural integration steadily increased from 27.51 to 57.35 with an average annual growth rate of 3.40%.Whereas,the overall urban-rural integration was relatively inferior in 2022,at the level of moderate integration whose proportion of China’s land area was 88.08%.The urban-rural integration level in eastern region and urban agglomerations was higher than that in mid-west and non-urban agglomerations.From the perspective of seven dimensions,interactive economic growth,joint environmental governance and unimpeded informatization made an obvious improvement and reached higher integration,while free population mobility,efficient land transfer,highly-linked transportation and equal public services maintained the stage of moderate integration in 2022.In the future,China should make targeted efforts for urban-rural integration in terms of population,land use,transportation and public services,and accelerate urban-rural common prosperity in the mid-west and economically underdeveloped areas.展开更多
Strain measurements during uniaxial compressive strength(UCS)testing and their subsequent interpretation to obtain elastic parameters are relatively straightforward for most rocks.However,for slates,which are foliated...Strain measurements during uniaxial compressive strength(UCS)testing and their subsequent interpretation to obtain elastic parameters are relatively straightforward for most rocks.However,for slates,which are foliated metamorphic rocks characterized by significant anisotropy,the dependence of elastic properties on the orientation of foliation complicates the measurement and interpretation of strain data.In this study,a series of wave propagation velocity tests and UCS tests are conducted on cylindrical and prismatic slate specimens to gain a better understanding of how to obtain and process deformability and strength results.Wave propagation velocity results demonstrate an increase with the dip of foliation planes crossed,which is consistent with previous studies.Based on UCS test results,two methodologies are considered for obtaining transversely isotropic deformability parameters:the least-squares method and the recently proposed generalized reduction gradient(GRG)algorithm.Their performance is assessed in the context of potentially variable and limited amounts of data.GRG algorithms provide an enhanced analysis technique for estimating anisotropic elastic properties when dealing with limited or heterogeneous laboratory test data.Different strength models have also been considered,including the classic Jaeger's weakness plane(JPW)and its subsequent modification,i.e.2HBJPW.The 2HBJPW approach has proven to be more consistent with the obtained results and enhances the representation of the strength properties of slates.Additionally,a finite element method(FEM)numerical approach is employed to compare results with analytical and experimental ones,demonstrating a good match,thereby offering calibrated inputs for rock engineering applications.展开更多
Nonlinear analyses possess tremendous significance throughout the entire lifespans of civil structures.In recent years,the interest in leveraging deep learning(DL)to address the efficiency limitations of the tradition...Nonlinear analyses possess tremendous significance throughout the entire lifespans of civil structures.In recent years,the interest in leveraging deep learning(DL)to address the efficiency limitations of the traditional structural analysis methods has increased.However,full-range nonlinear analyses of different structures remain underresearched because of a lack of appropriate data representations and the failure to consider both internal structural information and external load conditions.A heterogeneous graph(HetG)representation scheme that can digitalize arbitrary structural systems with high fidelity is proposed in this study.Furthermore,a composite feature learning framework is developed to enable efficient full-range nonlinear analyses.This framework comprises two main components:①a heterogeneous graph neural network(GNN)-based module that encodes static features into embeddings with full structural semantics and②a sequence-to-sequence(Seq2Seq)module that predicts history-dependent responses using structural embeddings and external stimuli in an end-to-end manner.A computational model named structural analysis based on a graph neural network-nonlinear(StructGNN-N)is implemented based on the proposed methodology and is validated through numerical experiments involving real-world concrete structures.The results show that StructGNN-N successfully reproduces the full-range nonlinear responses of all nodes in the entire structure and exhibits excellent generalizability across structures with diverse topological designs and member configurations.Notably,the developed model achieves a computational efficiency level that is 1000 times greater than that of the traditional elastoplastic history analysis approach using the finite-element(FE)method.A parametric analysis and ablation studies demonstrate the effectiveness of the StructGNN-N architecture.Due to its superior accuracy and computational efficiency,the proposed method holds great potential for use in engineering applications,especially in the context of digital twins.This approach provides an inspiring path for simulating diverse engineering structures with accurate and comprehensive mechanical information in real time.展开更多
Laser powder bed fusion(LPBF)is an attractive additive manufacturing technology for preparing high-performance high-entropy alloys(HEAs)engineering components.Unfortunately,the existence of inherent thermal residual s...Laser powder bed fusion(LPBF)is an attractive additive manufacturing technology for preparing high-performance high-entropy alloys(HEAs)engineering components.Unfortunately,the existence of inherent thermal residual stress and non-equilibrium microstructures in the additively manufactured components results in unsatisfactory mechanical properties.Herein,we propose a novel strengthening strategy,namely deep cryogenic treatment(DCT)followed by laser shock peening(LSP),to tailor the microstructures and enhance performances of an LPBF additively manufactured metastable HEA.The post-treatment effects of DCT+LSP on the LPBF-fabricated Fe50Mn30Co10Cr10HEA are evaluated in terms of microstructural modifications,residual stress,and microhardness redistribution,as well as tensile properties.Results indicate that a gradient heterogeneous structure is formed on the as-built sample surface,featuring gradient variations in grain size,martensitic phase content,and dislocation density,due to the grain refinement and martensitic phase transformation under DCT+LSP.The initial tensile residual stress on the surface is fully transformed into compressive stress,achieving a peak of-289 MPa,and the surface microhardness attains a maximum of 380.8 HV.The various strengthening mechanisms of gradient heterogeneous structures,as well as the multiple effects of heterodeformation-induced(HDI)hardening,transformation-induced plasticity(TRIP),and twinning-induced plasticity(TWIP),are responsible for achieving strength-ductility synergy.This work provides a practical pathway and valuable scientific insights for enhancing the mechanical behaviors of additively manufactured metastable HEAs via microstructural engineering.展开更多
High-precision sand prediction is fundamental to improving the efficiency of oil and gas exploration and development.To address the limitations of traditional fixed-weight fusion strategies,particularly under conditio...High-precision sand prediction is fundamental to improving the efficiency of oil and gas exploration and development.To address the limitations of traditional fixed-weight fusion strategies,particularly under conditions of significant lateral variation in sand body distribution,this study proposesa dynamic weightingdeep neural network(DW-DNN)for adaptive frequency-decomposed attribute fusion.The approach integrates physical constraints with deep learning and introduces two innovations:(i)a priori weight matrices derived from the amplitudefrequency and tuning thickness relationship(amplitude variation with frequency,AvF)are embeddedintothe attention mechanism to adaptivelyallocate multiband seismic attributes,emphasizing high-frequency features for thin sands and low-frequency features for thick sands;and(ii)a deep neural network with a composite loss function combining mean squared error(MSE)and AVF-based constraints is designed to jointly optimize weight allocation and prediction accuracy.The method was applied to the Xi 233 area of theQingcheng Oilfield in the Ordos Basin and compared with conventional approaches.DW-DNN achieved high accuracy and generalizability,with an R2 of 0.92 in the 30%blind-well test,24.3%higher than conventional methods.In addition,91%of well-point errors were within 03 m,while prediction accuracies for thin(≤3 m)and thick(>3 m)sands reached 88%and 91%,respectively.The model also maintained stable performance under low well-control conditions(training-test ratio 5:5).Predicted sand distributions exhibited improved continuity and geologically plausible geometries,clearly delineating channels,lobes,and estuary bars.The results demonstrate that DW-DNN enhances frequency-decomposed attribute fusion through adaptive weight allocation,providing a robust tool for predicting sand body distributions in complex reservoirs.展开更多
The dental papilla(DP)is essential for the development of dentin and pulp.The extensive cellular heterogeneity within the DP is a critical factor underlying the complex and precise formation of dental structures durin...The dental papilla(DP)is essential for the development of dentin and pulp.The extensive cellular heterogeneity within the DP is a critical factor underlying the complex and precise formation of dental structures during odontogenesis.However,the critical cell types within human DP that play essential role in tooth development and regeneration remain largely uncharacterized.In this study,we analyzed the heterogeneity of human DP cells using single-cell sequencing and identified Gliomedin(GLDN)+DP stem cells(DPSCs)were a group of progenitors at an early stage of tooth development and play a key role in the development of pulp and dentin.GLDN+DPSCs strategically accumulate in human DP tissue near the interface of the newly formed dentin or pulp.Functional assays demonstrated that GLDN+DPSCs exhibited enhanced self-renewal,migratory capacity,and odontogenic differentiation potential in vitro compared to GLDN-DPSCs.Moreover,GLDN+DPSCs effectively induce the migration and tube formation of endothelial cells,which are essential for tooth development.The ectopic dental pulp regeneration model confirmed that GLDN+DPSCs can regenerate a vascularized dental pulp structure with an odontoblast layer in vivo.Given their functional capabilities,this population of cells has been designated as GLDN+odontogenic stem cells(OSCs).Mechanistically,GLDN is essential for maintaining the phenotype and function of GLDN+OSCs through BMP5 signaling via autocrine and paracrine mechanisms.In conclusion,this study identifies a previously uncharacterized essential subpopulation of OSCs essential for dental pulp development and regeneration.展开更多
This study integrates unconfined compression tests with high-resolution computed tomography(CT)to analyze the pore heterogeneity,crack propagation,and failure modes of red sandstone specimens with diameters ranging fr...This study integrates unconfined compression tests with high-resolution computed tomography(CT)to analyze the pore heterogeneity,crack propagation,and failure modes of red sandstone specimens with diameters ranging from 10 mm to 100 mm.Key findings include:(1)With increasing specimen size,crack initiation stress(CI),damage stress(CD),and unconfined compressive strength(UCS)initially increase and then decrease;(2)In smaller specimens,stress concentration due to pore heterogeneity leads to splitting failure and lower strength;(3)In medium-sized specimens,friction dominates crack propagation,causing shear failure,while increased fragment rotation enhances energy dissipation,yielding highest strength;(4)In larger specimens,cracks tend to propagate along bedding planes,reducing energy dissipation and then weakening strength.These results provide insights into the reverse size effect on sandstone strength and have implications for engineering applications.展开更多
Effective groundwater management is crucial for economic sustainable development,particularly as climate change and population growth increase the uncertainty of aquifer dynamics.Due to limited geological data,Punjab&...Effective groundwater management is crucial for economic sustainable development,particularly as climate change and population growth increase the uncertainty of aquifer dynamics.Due to limited geological data,Punjab's complex hydrogeological conditions and Quaternary alluvial deposits present significant challenges for groundwater management.This study employs cost-effective numerical techniques as alternatives to traditional methods to safeguard groundwater quality,quantity,and accessibility.It introduces an edit-embedded transition frequency model that integrates regional datasets and utilizes algorithms such as GAMEAS,MCMOD,and TSIM to evaluate aquifer heterogeneity and simulate spatial variations using one-dimensional and three-dimensional Markov chains.Findings show that sand exhibits the highest self-transition(33.112 m),indicating strong stability,followed by silt,clay,and gravel,suggesting overall hydrofacies stability both horizontally and vertically.The model's predictions are largely consistent with actual material distribution,with a slight under-prediction of clay(-0.750%)and an over-prediction of sand(2.985%),which accounts for 58.77%of the aquifer material.It also highlights significant heterogeneity in the northern mountainous regions and minor variations in the south.The study emphasizes Punjab's severe water crisis,with groundwater reserves of 3502.3 BCM,declining water levels(0.38–33.62 m),and low hydraulic conductivity,urging government action on rainwater harvesting and sustainable groundwater management policies.展开更多
Fenton-based advanced oxidation processes had shown significant potential for antibiotics remediation,yet their application remained constrained by challenges including the dependence on continuous H2O2supplemen...Fenton-based advanced oxidation processes had shown significant potential for antibiotics remediation,yet their application remained constrained by challenges including the dependence on continuous H2O2supplementation,limited catalyst reusability,and insufficient mechanistic understanding of antibiotic degradation.This study developed a pH-universal heterogeneous electro-Fenton system using an in-situ synthesized Fe@Fe2O3/active carbon fiber(ACF)composite cathode for sulfadiazine(SDZ)removal from wastewater.Under optimal conditions(pH of 2-3,current density of 20 mA/cm2,aeration rate of 0.6 L/min,and electrolyte concentration of 0.05 mol/L Na2SO4),the removal efficiency of SDZ achieved 90.0%±0.6%and the corresponding removal rate was as high as 22.4±0.1 g/(m3·h).Notably,the Fe@Fe2O3/ACF composite cathode demonstrated exceptional stability with minimal iron leaching of 18.2±0.6µg/L in each cycle.Cross-scale mechanism validation,which integrated radical scavenging experiments,electron spin resonance spectroscopy,density functional theory,and intermediates analysis,revealed that hydroxyl radicals(·OH)was the exclusive reactive species driving SDZ degradation and that the preferential substitution of the free amino group and cleavage of the pyrimidine ring were critical steps in intermediate formation.This work advanced the mechanistic understanding of Fenton-based antibiotic degradation while providing a sustainable strategy for stable catalytic system design.展开更多
Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More r...Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More recently,advances in the development of Lecanemab,an anti-amyloid-βmonoclonal antibody,have shown positive results in reducing brain A burden and slowing cognitive decline in patients with early-stage Alzheimer’s disease in the Phase Ⅲ clinical trial(Clarity Alzheimer’s disease).Despite these promising results,side effects such as amyloid-related imaging abnormalities(ARIA)may limit its usage.ARIA can manifest as ARIA-E(cerebral edema or effusions)and ARIA-H(microhemorrhages or superficial siderosis)and is thought to be caused by increased vascular permeability due to inflammatory responses,leading to leakages of blood products and protein-rich fluid into brain parenchyma.Endothelial dysfunction is an early pathological feature of Alzheimer’s disease,and the blood-brain barrier becomes increasingly leaky as the disease progresses.In addition,APOE4,the strongest genetic risk factor for Alzheimer’s disease,is associated with higher vascular amyloid burden,increased ARIA incidence,and accelerated blood-brain barrier disruptions.These interconnected vascular abnormalities highlight the importance of vascular contributions to the pathophysiology of Alzheimer’s disease.Here,we will closely examine recent research evaluating the heterogeneity of brain endothelial cells in the microvasculature of different brain regions and their relationships with Alzheimer’s disease progression.展开更多
Metal isolated single atomic sites catalysts have attracted intensive attention in recent years owing to their maximized atom utilization and unique structure.Despite the success of single atom catalyst synthesis,dire...Metal isolated single atomic sites catalysts have attracted intensive attention in recent years owing to their maximized atom utilization and unique structure.Despite the success of single atom catalyst synthesis,directly anchoring metal single atoms on three-dimensional(3D)macro support,which is promising to achieve the heterogenization of homogeneous catalysis,remains a challenge and a blank in this field.Herein,we successfully fabricate metal single atoms(Pd,Pt,Ru,Au)on porous carbon nitrideeduced graphene oxide(C3N4GO)foam as highly efficient catalysts with convenient recyclability.C3N4GO foam features two-dimensional microstructures with abundant N chelating sites for the stabilization of metal single atoms and vertically-aligned hierarchical mesostructure that benefits the mass diffusion.The obtained Pdi/C3N4GO monolith catalyst exhibits much enhanced activity over its nanoparticle counterpart for Suzuki-Miyaura reaction.Moreover,the Pdi/C3N4GO monolith catalyst can be readily assembled in a flow reactor to achieve the highly efficient continuous production of 4-nitro-1,1'-biphenyl through Suzuki-Miyaura coupling.展开更多
In the process of global urbanization,the real estate industry has experienced a series of fluctuations that have affected its sustainable and healthy development,mostly owing to the reduced housing affordability for ...In the process of global urbanization,the real estate industry has experienced a series of fluctuations that have affected its sustainable and healthy development,mostly owing to the reduced housing affordability for residents caused by non-synergy of populationland-industry urbanization(PLIU).However,relatively few studies have examined the impact of urbanization on urban residents’housing affordability from a PLIU synergy perspective.This paper analyzes spatial pattern evolution of urban residents’housing affordability from 2005 to 2020 by constructing an evaluation model for measuring urban residents’housing affordability.Through the innovative‘cube’method for measuring PLIU synergy,based on Spatial Durbin Model(SDM)and Geographically and Temporally Weighted Regression(GTWR),we analyze the impact of urbanization on urban residents’housing affordability.The main conclusions are presented as follows:first,the overall urban residents’housing affordability in China(excluding Hong Kong,Macao,and Taiwan)has shown an upward trend,with spatial‘zonal differences’and‘hierarchical differences’.Second,the urbanization process has a significant negative effect on urban residents’housing affordability,and the PLIU construct is not synergistic,with population and industry urbanization lagging behind land urbanization.Third,spatial heterogeneity is evident in the impact of urbanization on housing affordability,especially in urban agglomerations.The core of the evolution of urban residents’housing affordability lies in the matching of population,land,and industrial urbanization,and the synergy of the three developments.In the Yangtze River Delta urban agglomeration and Urban Agglomeration of the Middle Reaches of the Yangtze River(MRYR),the advancement of urbanization has a positive effect on urban residents’housing affordability,and PLIU is synergistic,while in the Beijing-Tianjin-Hebei(BTH)urban agglomeration,Pearl River Delta(PRD)urban agglomeration,and Chengdu-Chongqing(CC)urban agglomeration,the effect is negative and PLIU is not synergistic,and with the former two,population urbanization is ahead of the others,whereas land urbanization is ahead of the others in the latter.This paper provides a reasonable explanation for the aforementioned results,revealing the mechanisms of how urbanization affects housing affordability,and can serve as a valuable reference for global research on housing affordability,holding significant importance.展开更多
Promoting the synergistic governance of pollution control(PC)and carbon reduction(CR)in the agricultural sector was an important way for the Chinese government to implement the“dual carbon”initiative and respond to ...Promoting the synergistic governance of pollution control(PC)and carbon reduction(CR)in the agricultural sector was an important way for the Chinese government to implement the“dual carbon”initiative and respond to climate change.Based on the data of China’s crop production from 31 provincial-level regions from 1997 to 2022,this paper constructs a framework consisting of spatiotemporal evolution,synergy effect measurement,differences in contributions across regions,and influencing factors analysis to reveal the relationship between agricultural PC and CR.The results showed that the annual growth rates of pollutant emissions and carbon emissions were 1.85%and 0.79%,respectively.However,the annual decline rates of their emission intensities were 3.14%and 4.32%,respectively.This indicated that China’s actions to reduce pollution and carbon emissions in agriculture have achieved good results,that the effect of PC was weaker than that of CR and had an obvious“policy node effect.”Simultaneously,the synergy between PC and CR evolved from“basic coordination”to“basic imbalance.”The contribution of inter-regional differences was relatively large,while intra-regional differences were smaller,highlighting the importance of reducing regional disparities in promoting the synergistic governance of PC and CR.The basic conditions,industrial structure,input intensity,and development potential of agricultural development were key factors in widening the coupling coordination gap between PC and CR,and the influence of these significant factors exhibited clear spatiotemporal heterogeneity.These findings have provided important evidence for understanding China’s agricultural environmental governance strategies and could offer experiential insights for developing countries in advancing the coordinated governance of agricultural PC and CR.展开更多
CONSPECTUS:Polyolefin is one of the most common synthetic polymers.However,most polyolefins are nonpolar materials,which leads to poor compatibility with polar materials,thus limiting their application in some fields....CONSPECTUS:Polyolefin is one of the most common synthetic polymers.However,most polyolefins are nonpolar materials,which leads to poor compatibility with polar materials,thus limiting their application in some fields.Polar functionalized polyolefins can lead to significantly improved dyeability,adhesiveness and compatibility with polar fillers,and can realize customized properties of polyolefin materials.展开更多
In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundam...In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundamental mismatch between oil composition and host rock maturity.To resolve this anomaly,this study integrates geological,geochemical,and petrophysical datasets and systematically evaluates the combined roles of thermal evolution,organofacies,wettability,abnormal overpressure,and migration-related fractionation on shale oil composition.On this basis,a“staged charging-cumulative charging”model is proposed to explain compositional heterogeneity in lacustrine shale oils.The results demonstrate that crude-oil compositions are jointly controlled by the extent of biomarker depletion,the temporal evolution of hydrocarbon charging,and the openness of the source-reservoir system,rather than by thermal maturity or organofacies alone.The upper sweet-spot interval is interpreted to have functioned as a semi-open system during early stages,in which hydrocarbon generation and expulsion were broadly synchronous,leading to preferential loss of early-generated,biomarker-rich heavy components,whereas progressive shale diagenesis at later stages promoted the retention of highly mature,light hydrocarbons.In contrast,the lower sweet-spot interval represents a relatively closed system,where hydrocarbons generated during multiple stages continuously accumulated and were preserved as mixed charges;overprinting by multi-phase fluids progressively weakened sterane isomerization signals,rendering them unreliable indicators of individual charging events or final thermal maturity.This charging behavior provides a reasonable explanation for anomalously low or distorted biomarker parameters observed in intervals of low or similar maturity.Overall,the proposed charging model reconciles the observed reversal in crude-oil properties and,by shifting the interpretive focus from static maturity assessment to charging dynamics,offers a new theoretical basis for understanding lacustrine shale oil accumulation processes,and guiding sweet-spot selection and exploration-development strategies.展开更多
Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distr...Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distributed control framework that strategically integrates a redesigned saturation function to handle the nonlinear actuator constraint and a high-gain feedback mechanism for effective disturbance rejection.展开更多
Photocatalytic CO2reduction into chemical fuels is a promising route for alleviating the energy crisis and environmental issues.However,reported catalysts still exhibit low catalytic efficiencies,which hinders the ...Photocatalytic CO2reduction into chemical fuels is a promising route for alleviating the energy crisis and environmental issues.However,reported catalysts still exhibit low catalytic efficiencies,which hinders the development of this important reaction.Herein,we report the heterogenization of a dinuclear cobalt molecular catalyst into two porous polymers(Co2-P1 and Co2-P2)using a covalent strategy for photocatalytic CO2reduction.As a result,Co2-P1 with a phenyl group as the linker exhibited high catalytic performance for the photochemical CO2-to-CO conversion with a CO production rate of 568.8 mmol g-1 h-1 and turnover frequency(TOF)of 11.6 min-1(CO selectivity,95.2%).More impressively,by extending the phenyl to biphenyl linker,the resulting Co2-P2 shows obviously enhanced photocatalytic efficiency for CO2reduction to CO,with a record CO production rate of 1063.0 mmol g-1 h-1 and TOF of 23.6 min-1(CO selectivity,94.9%)under a laboratory light source.Furthermore,Co2-P2 also shows outstanding catalytic activity for photocatalytic CO2reduction under natural sunlight,with a CO production rate of 544.1 mmol g-1 h-1 and TOF of 12.1 min-1(CO selectivity,97.2%).Systematic studies demonstrated that fast electron transfer from the photosensitizer to the catalyst greatly contributes to the superior catalytic activity of Co2-P2.展开更多
基金supported by National Key R&D Program of China(No.2021YFA1501700)National Natural Science Foundation of China(Nos.52025031,U19B6001 and U1904212)K.C.Wong Education Foundation.
摘要Brookhart-typeα-diimine nickel and palladium catalysts have been extensively studied over the past several decades;however,the heterogenization of these metal complexes has received much less attention.In this contribution,we installed a trifluoroborate potassium substituent on anα-diimine framework.The ionic nature of trifluoroborate potassium endowed theα-diimine nickel complex with a strong affinity for the SiO2support,while its electron-donating nature enhanced the catalyst stability and polyethylene molecular weight.In the presence of only 100 equiv.of Et2AlCl cocatalyst,the SiO2-supported catalyst demonstrated significantly better performance than its homogeneous analog during ethylene polymerization,with extremely high activity(1.42–6.53×107g mol−1h−1)and high thermal stability.The heterogeneous system led to the formation of high-molecular-weight polyethylenes(Mn 142,500–732,800 g/mol),narrow polydispersities(2.18–3.00),tunable branching densities(21–64 per 1000 carbon atoms),and great mechanical properties.Moreover,the efficient copolymerization of ethylene with comonomers such as methyl 10-undecenoate,6-chloro-1-hexene or 5-hexenylacetate was achieved.These superior properties enabled by the trifluoroborate potassium moiety may inspire its applications in other polymerization catalyst systems.
基金funded by the Beijing Natural Science Foundation(Grant No.JQ21028)the National Natural Science Foundation of China(Grant Nos.52311530070 and 52004015).
摘要The study of the effects of thermal damage on the mineral components,microstructure,and macroscopic physico-mechanical properties of rocks can provide valuable references for rock engineering design and long-term safety evaluations.In this work,we systematically study the evolution of microstructure and variations in the mechanical properties of granite under high-temperature conditions.The microstructural changes and macro-mechanical properties of rocks are investigated across a temperature range of 25℃–1000℃ through the application of characterization techniques,macro-mechanical experiments,and numerical simulations.High temperatures induce the gradual evolution of micropores and mesopores into macropores,culminating in a significant increase in porosity,with the most rapid rate of increase occurring at 400℃.The X-ray diffraction(XRD)results indicate that the high-temperature environment(below 1000℃)specifically affects the intensity of the maximum diffraction peaks and the half-height width(FWHM)of each mineral component in the granite.The scanning electron microscope(SEM)observation confirms the development of fracture and the reduction in cementation between mineral particles under different temperatures.Additionally,uniaxial and triaxial compression tests were conducted using the GCTS mechanical loading system.Experimental results reveal that the threshold temperature for granite damage is 400℃,and the temperature range for the brittle-ductile transition of granite lies roughly between 600℃ and 800℃.Numerical simulations were performed by employing non-homogeneous rock damage theory and a thermal-mechanical-damage coupling model.Simulated results align well with experimental data.Specifically,the simulations demonstrate that high-temperature treatment causes the redistribution of microstructure in granite,resulting in increased heterogeneity and a change in the failure morphology.
基金funded by the Major National Science and Technology Project for Deep Earth of China(Grant No.2024ZD1003805)the National Natural Science Foundation of China(Grant Nos.52311530070 and 52004015).
摘要Rock damage significantly affects coupled thermo-hydro-mechanical(THM)behavior in deep geothermal exploitation through changing thermal and hydrological properties of rocks.For this,a thermo-hydro-mechanical-damage(THMD)coupled model was developed to describe the coupling between rock damage and mechanical,fluid flow and heat transfer fields.The model considers rock heterogeneity,and incorporates the Mohr-Coulomb failure criterion and the maximum tensile stress criterion to evaluate shear and tensile damage.This numerical modeling methodology was first verified against analytical solutions and experimental results,and was then used to simulate the THMD coupling behavior in deep geothermal exploitation.A coupled numerical model was set up to simulate the geothermal fluids extraction and re-injection process in a reservoir at 1 km depth over a 7-year period.Rock damage was found to accelerate the propagation of cold fronts away from the injection well,and have a distinct effect on the performance of geothermal exploitation.When the rock damage was considered,the field injectivity increases by 8.4 times,the range of cooled regions increases by 18.6 times,and the vertical deformation changes by 1.2 times after 7 years of geothermal operations,compared to the scenario where it was not considered.Parametric studies have suggested that thermal contraction dominates the rock damage evolution,and that thermal-induced rock damage only occurs at a sufficiently large temperature difference between fluids injected and the reservoir.This work underscores the importance of accurately accounting for the damage effect on reservoir response during fluid injection activities that cause significant cooling of reservoir rocks.
基金supported by the Innovative Research Group Project of the National Natural Science Foundation of China(Grant No.42121001).
摘要Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integration progress and address the uneven issues in specific fields,this study constructed a novel seven-dimension index system of urban-rural integration,comprising free population mobility,efficient land transfer,interactive economic growth,highly-linked transportation,equal public services,joint environmental governance and unimpeded informatization between urban and rural areas.Based on a comprehensive measurement framework and multi-source panel data,we uncovered the spatial-temporal evolution of urban-rural integration in China’s 367 prefecture-level administrative units from 1980 to 2022.The results demonstrated that China’s urban-rural integration steadily increased from 27.51 to 57.35 with an average annual growth rate of 3.40%.Whereas,the overall urban-rural integration was relatively inferior in 2022,at the level of moderate integration whose proportion of China’s land area was 88.08%.The urban-rural integration level in eastern region and urban agglomerations was higher than that in mid-west and non-urban agglomerations.From the perspective of seven dimensions,interactive economic growth,joint environmental governance and unimpeded informatization made an obvious improvement and reached higher integration,while free population mobility,efficient land transfer,highly-linked transportation and equal public services maintained the stage of moderate integration in 2022.In the future,China should make targeted efforts for urban-rural integration in terms of population,land use,transportation and public services,and accelerate urban-rural common prosperity in the mid-west and economically underdeveloped areas.
摘要Strain measurements during uniaxial compressive strength(UCS)testing and their subsequent interpretation to obtain elastic parameters are relatively straightforward for most rocks.However,for slates,which are foliated metamorphic rocks characterized by significant anisotropy,the dependence of elastic properties on the orientation of foliation complicates the measurement and interpretation of strain data.In this study,a series of wave propagation velocity tests and UCS tests are conducted on cylindrical and prismatic slate specimens to gain a better understanding of how to obtain and process deformability and strength results.Wave propagation velocity results demonstrate an increase with the dip of foliation planes crossed,which is consistent with previous studies.Based on UCS test results,two methodologies are considered for obtaining transversely isotropic deformability parameters:the least-squares method and the recently proposed generalized reduction gradient(GRG)algorithm.Their performance is assessed in the context of potentially variable and limited amounts of data.GRG algorithms provide an enhanced analysis technique for estimating anisotropic elastic properties when dealing with limited or heterogeneous laboratory test data.Different strength models have also been considered,including the classic Jaeger's weakness plane(JPW)and its subsequent modification,i.e.2HBJPW.The 2HBJPW approach has proven to be more consistent with the obtained results and enhances the representation of the strength properties of slates.Additionally,a finite element method(FEM)numerical approach is employed to compare results with analytical and experimental ones,demonstrating a good match,thereby offering calibrated inputs for rock engineering applications.
基金support provided by the National Natural Science Foundation of China(52408188,52293433,and 52121005).
摘要Nonlinear analyses possess tremendous significance throughout the entire lifespans of civil structures.In recent years,the interest in leveraging deep learning(DL)to address the efficiency limitations of the traditional structural analysis methods has increased.However,full-range nonlinear analyses of different structures remain underresearched because of a lack of appropriate data representations and the failure to consider both internal structural information and external load conditions.A heterogeneous graph(HetG)representation scheme that can digitalize arbitrary structural systems with high fidelity is proposed in this study.Furthermore,a composite feature learning framework is developed to enable efficient full-range nonlinear analyses.This framework comprises two main components:①a heterogeneous graph neural network(GNN)-based module that encodes static features into embeddings with full structural semantics and②a sequence-to-sequence(Seq2Seq)module that predicts history-dependent responses using structural embeddings and external stimuli in an end-to-end manner.A computational model named structural analysis based on a graph neural network-nonlinear(StructGNN-N)is implemented based on the proposed methodology and is validated through numerical experiments involving real-world concrete structures.The results show that StructGNN-N successfully reproduces the full-range nonlinear responses of all nodes in the entire structure and exhibits excellent generalizability across structures with diverse topological designs and member configurations.Notably,the developed model achieves a computational efficiency level that is 1000 times greater than that of the traditional elastoplastic history analysis approach using the finite-element(FE)method.A parametric analysis and ablation studies demonstrate the effectiveness of the StructGNN-N architecture.Due to its superior accuracy and computational efficiency,the proposed method holds great potential for use in engineering applications,especially in the context of digital twins.This approach provides an inspiring path for simulating diverse engineering structures with accurate and comprehensive mechanical information in real time.
基金supported by the National Natural Science Foundation of China(Grant Nos.52205467 and U21A20138)Youth Science Foundation of Jiangsu Province(Grant No.BK20220531)Science and Technology Planning Project of Zhenjiang-International Scientific and Technological Cooperation(Grant No.GJ2023014)。
摘要Laser powder bed fusion(LPBF)is an attractive additive manufacturing technology for preparing high-performance high-entropy alloys(HEAs)engineering components.Unfortunately,the existence of inherent thermal residual stress and non-equilibrium microstructures in the additively manufactured components results in unsatisfactory mechanical properties.Herein,we propose a novel strengthening strategy,namely deep cryogenic treatment(DCT)followed by laser shock peening(LSP),to tailor the microstructures and enhance performances of an LPBF additively manufactured metastable HEA.The post-treatment effects of DCT+LSP on the LPBF-fabricated Fe50Mn30Co10Cr10HEA are evaluated in terms of microstructural modifications,residual stress,and microhardness redistribution,as well as tensile properties.Results indicate that a gradient heterogeneous structure is formed on the as-built sample surface,featuring gradient variations in grain size,martensitic phase content,and dislocation density,due to the grain refinement and martensitic phase transformation under DCT+LSP.The initial tensile residual stress on the surface is fully transformed into compressive stress,achieving a peak of-289 MPa,and the surface microhardness attains a maximum of 380.8 HV.The various strengthening mechanisms of gradient heterogeneous structures,as well as the multiple effects of heterodeformation-induced(HDI)hardening,transformation-induced plasticity(TRIP),and twinning-induced plasticity(TWIP),are responsible for achieving strength-ductility synergy.This work provides a practical pathway and valuable scientific insights for enhancing the mechanical behaviors of additively manufactured metastable HEAs via microstructural engineering.
基金funded by the ScienceFoundation of China University of Petroleum(Beijing)(Grant No.2462025BJRC005)Strategic Cooperation Technology Projects of China National Petroleum Corporation(CNPC)and China University of Petroleum(Grant No.ZLZX2020-02)+2 种基金Major Science and Technology Project of Changqing Oilfield(Grant No.2023DZZ04)China University of Petroleum(Grant No.2462023YJRC034)and the National Natural Science Foundation of China(Grant No.42202178,42272110).
摘要High-precision sand prediction is fundamental to improving the efficiency of oil and gas exploration and development.To address the limitations of traditional fixed-weight fusion strategies,particularly under conditions of significant lateral variation in sand body distribution,this study proposesa dynamic weightingdeep neural network(DW-DNN)for adaptive frequency-decomposed attribute fusion.The approach integrates physical constraints with deep learning and introduces two innovations:(i)a priori weight matrices derived from the amplitudefrequency and tuning thickness relationship(amplitude variation with frequency,AvF)are embeddedintothe attention mechanism to adaptivelyallocate multiband seismic attributes,emphasizing high-frequency features for thin sands and low-frequency features for thick sands;and(ii)a deep neural network with a composite loss function combining mean squared error(MSE)and AVF-based constraints is designed to jointly optimize weight allocation and prediction accuracy.The method was applied to the Xi 233 area of theQingcheng Oilfield in the Ordos Basin and compared with conventional approaches.DW-DNN achieved high accuracy and generalizability,with an R2 of 0.92 in the 30%blind-well test,24.3%higher than conventional methods.In addition,91%of well-point errors were within 03 m,while prediction accuracies for thin(≤3 m)and thick(>3 m)sands reached 88%and 91%,respectively.The model also maintained stable performance under low well-control conditions(training-test ratio 5:5).Predicted sand distributions exhibited improved continuity and geologically plausible geometries,clearly delineating channels,lobes,and estuary bars.The results demonstrate that DW-DNN enhances frequency-decomposed attribute fusion through adaptive weight allocation,providing a robust tool for predicting sand body distributions in complex reservoirs.
基金supported by grants from the National Key Research and Development Program of China(2022YFA1104400)the National Natural Science Foundation of China(32271365,32471183,U21A20369)+1 种基金Sichuan Science and Technology program(2023YFS0151,2023YFS0056)the Fundamental Research Funds for the Central Universities(SCU2023D014)。
摘要The dental papilla(DP)is essential for the development of dentin and pulp.The extensive cellular heterogeneity within the DP is a critical factor underlying the complex and precise formation of dental structures during odontogenesis.However,the critical cell types within human DP that play essential role in tooth development and regeneration remain largely uncharacterized.In this study,we analyzed the heterogeneity of human DP cells using single-cell sequencing and identified Gliomedin(GLDN)+DP stem cells(DPSCs)were a group of progenitors at an early stage of tooth development and play a key role in the development of pulp and dentin.GLDN+DPSCs strategically accumulate in human DP tissue near the interface of the newly formed dentin or pulp.Functional assays demonstrated that GLDN+DPSCs exhibited enhanced self-renewal,migratory capacity,and odontogenic differentiation potential in vitro compared to GLDN-DPSCs.Moreover,GLDN+DPSCs effectively induce the migration and tube formation of endothelial cells,which are essential for tooth development.The ectopic dental pulp regeneration model confirmed that GLDN+DPSCs can regenerate a vascularized dental pulp structure with an odontoblast layer in vivo.Given their functional capabilities,this population of cells has been designated as GLDN+odontogenic stem cells(OSCs).Mechanistically,GLDN is essential for maintaining the phenotype and function of GLDN+OSCs through BMP5 signaling via autocrine and paracrine mechanisms.In conclusion,this study identifies a previously uncharacterized essential subpopulation of OSCs essential for dental pulp development and regeneration.
基金the financial support from the National Natural Science Foundation of China(Grant No.42041006)the Fundamental Research Funds for the Central Universities,CHD(Grant Nos.300102265718,300102264902).
摘要This study integrates unconfined compression tests with high-resolution computed tomography(CT)to analyze the pore heterogeneity,crack propagation,and failure modes of red sandstone specimens with diameters ranging from 10 mm to 100 mm.Key findings include:(1)With increasing specimen size,crack initiation stress(CI),damage stress(CD),and unconfined compressive strength(UCS)initially increase and then decrease;(2)In smaller specimens,stress concentration due to pore heterogeneity leads to splitting failure and lower strength;(3)In medium-sized specimens,friction dominates crack propagation,causing shear failure,while increased fragment rotation enhances energy dissipation,yielding highest strength;(4)In larger specimens,cracks tend to propagate along bedding planes,reducing energy dissipation and then weakening strength.These results provide insights into the reverse size effect on sandstone strength and have implications for engineering applications.
基金supported by the K.C.Wong Education Foundation(GJTD-2020-14)the National Natural Science Foundation of China(42071245)+3 种基金Third Xinjiang Scientific Expedition Program(2021XJKK1400)the China-Pakistan Joint Research Center on Earth Sciences that supported the implementation of this studythe Chinese Academy of Sciences(CAS)the CSC Scholarship for Young Talents(Doctor Program)for the financial support of this study。
摘要Effective groundwater management is crucial for economic sustainable development,particularly as climate change and population growth increase the uncertainty of aquifer dynamics.Due to limited geological data,Punjab's complex hydrogeological conditions and Quaternary alluvial deposits present significant challenges for groundwater management.This study employs cost-effective numerical techniques as alternatives to traditional methods to safeguard groundwater quality,quantity,and accessibility.It introduces an edit-embedded transition frequency model that integrates regional datasets and utilizes algorithms such as GAMEAS,MCMOD,and TSIM to evaluate aquifer heterogeneity and simulate spatial variations using one-dimensional and three-dimensional Markov chains.Findings show that sand exhibits the highest self-transition(33.112 m),indicating strong stability,followed by silt,clay,and gravel,suggesting overall hydrofacies stability both horizontally and vertically.The model's predictions are largely consistent with actual material distribution,with a slight under-prediction of clay(-0.750%)and an over-prediction of sand(2.985%),which accounts for 58.77%of the aquifer material.It also highlights significant heterogeneity in the northern mountainous regions and minor variations in the south.The study emphasizes Punjab's severe water crisis,with groundwater reserves of 3502.3 BCM,declining water levels(0.38–33.62 m),and low hydraulic conductivity,urging government action on rainwater harvesting and sustainable groundwater management policies.
基金supported by the National Key R&D Project (No.2021YFC3200603)the Key Project of Research and Development Plan of Jiangxi Province (No. 20232BBG70009)+1 种基金the Science and Technology Innovation Fund Projects on “Urban Carbon Neutrality” and “Urban Renewal” of Beijing University of Technologythe Programme of Introducing Talents of Discipline to Universities (No. D16003)
摘要Fenton-based advanced oxidation processes had shown significant potential for antibiotics remediation,yet their application remained constrained by challenges including the dependence on continuous H2O2supplementation,limited catalyst reusability,and insufficient mechanistic understanding of antibiotic degradation.This study developed a pH-universal heterogeneous electro-Fenton system using an in-situ synthesized Fe@Fe2O3/active carbon fiber(ACF)composite cathode for sulfadiazine(SDZ)removal from wastewater.Under optimal conditions(pH of 2-3,current density of 20 mA/cm2,aeration rate of 0.6 L/min,and electrolyte concentration of 0.05 mol/L Na2SO4),the removal efficiency of SDZ achieved 90.0%±0.6%and the corresponding removal rate was as high as 22.4±0.1 g/(m3·h).Notably,the Fe@Fe2O3/ACF composite cathode demonstrated exceptional stability with minimal iron leaching of 18.2±0.6µg/L in each cycle.Cross-scale mechanism validation,which integrated radical scavenging experiments,electron spin resonance spectroscopy,density functional theory,and intermediates analysis,revealed that hydroxyl radicals(·OH)was the exclusive reactive species driving SDZ degradation and that the preferential substitution of the free amino group and cleavage of the pyrimidine ring were critical steps in intermediate formation.This work advanced the mechanistic understanding of Fenton-based antibiotic degradation while providing a sustainable strategy for stable catalytic system design.
基金supported by the National Natural Science Foundation of China,Nos.82404892(to QY),82061160374(to ZZ)the Science and Technology Development Fund,Macao Special Administrative Region,China,Nos.0023/2020/AFJ,0035/2020/AGJ+2 种基金the University of Macao Research Grant,Nos.MYRG2022-00248-ICMS,MYRG-CRG2022-00010-ICMS(to MPMH)the Natural Science Foundation of Guangdong Province,No.2024A1515012818(to ZZ)the Fundamental Research Funds for the Central Universities,No.21623114(to ZZ).
摘要Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More recently,advances in the development of Lecanemab,an anti-amyloid-βmonoclonal antibody,have shown positive results in reducing brain A burden and slowing cognitive decline in patients with early-stage Alzheimer’s disease in the Phase Ⅲ clinical trial(Clarity Alzheimer’s disease).Despite these promising results,side effects such as amyloid-related imaging abnormalities(ARIA)may limit its usage.ARIA can manifest as ARIA-E(cerebral edema or effusions)and ARIA-H(microhemorrhages or superficial siderosis)and is thought to be caused by increased vascular permeability due to inflammatory responses,leading to leakages of blood products and protein-rich fluid into brain parenchyma.Endothelial dysfunction is an early pathological feature of Alzheimer’s disease,and the blood-brain barrier becomes increasingly leaky as the disease progresses.In addition,APOE4,the strongest genetic risk factor for Alzheimer’s disease,is associated with higher vascular amyloid burden,increased ARIA incidence,and accelerated blood-brain barrier disruptions.These interconnected vascular abnormalities highlight the importance of vascular contributions to the pathophysiology of Alzheimer’s disease.Here,we will closely examine recent research evaluating the heterogeneity of brain endothelial cells in the microvasculature of different brain regions and their relationships with Alzheimer’s disease progression.
基金This work was supported by the National Key R&D Program of China(No.2018YFA0702003)the National Natural Science Foundation of China(No.21890383,21971137)Beijing Municipal Science&Technology Commission(No.Z191100007219003)。
摘要Metal isolated single atomic sites catalysts have attracted intensive attention in recent years owing to their maximized atom utilization and unique structure.Despite the success of single atom catalyst synthesis,directly anchoring metal single atoms on three-dimensional(3D)macro support,which is promising to achieve the heterogenization of homogeneous catalysis,remains a challenge and a blank in this field.Herein,we successfully fabricate metal single atoms(Pd,Pt,Ru,Au)on porous carbon nitrideeduced graphene oxide(C3N4GO)foam as highly efficient catalysts with convenient recyclability.C3N4GO foam features two-dimensional microstructures with abundant N chelating sites for the stabilization of metal single atoms and vertically-aligned hierarchical mesostructure that benefits the mass diffusion.The obtained Pdi/C3N4GO monolith catalyst exhibits much enhanced activity over its nanoparticle counterpart for Suzuki-Miyaura reaction.Moreover,the Pdi/C3N4GO monolith catalyst can be readily assembled in a flow reactor to achieve the highly efficient continuous production of 4-nitro-1,1'-biphenyl through Suzuki-Miyaura coupling.
基金Under the auspices of National Key Research and Development Program Project of China(No.2024YFD1600700)Henan Provincial Soft Science Research Program(No.252400411110)+3 种基金National Natural Science Foundation of China(No.42371218)Natural Science Foundation of Henan Province(No.262300421297)Philosophy and Social Sciences Planning Project of Henan Province(No.2023BJJ013)Key Project of Faculty of Geographical Science and Engineering(No.DLXKKY250304)。
摘要In the process of global urbanization,the real estate industry has experienced a series of fluctuations that have affected its sustainable and healthy development,mostly owing to the reduced housing affordability for residents caused by non-synergy of populationland-industry urbanization(PLIU).However,relatively few studies have examined the impact of urbanization on urban residents’housing affordability from a PLIU synergy perspective.This paper analyzes spatial pattern evolution of urban residents’housing affordability from 2005 to 2020 by constructing an evaluation model for measuring urban residents’housing affordability.Through the innovative‘cube’method for measuring PLIU synergy,based on Spatial Durbin Model(SDM)and Geographically and Temporally Weighted Regression(GTWR),we analyze the impact of urbanization on urban residents’housing affordability.The main conclusions are presented as follows:first,the overall urban residents’housing affordability in China(excluding Hong Kong,Macao,and Taiwan)has shown an upward trend,with spatial‘zonal differences’and‘hierarchical differences’.Second,the urbanization process has a significant negative effect on urban residents’housing affordability,and the PLIU construct is not synergistic,with population and industry urbanization lagging behind land urbanization.Third,spatial heterogeneity is evident in the impact of urbanization on housing affordability,especially in urban agglomerations.The core of the evolution of urban residents’housing affordability lies in the matching of population,land,and industrial urbanization,and the synergy of the three developments.In the Yangtze River Delta urban agglomeration and Urban Agglomeration of the Middle Reaches of the Yangtze River(MRYR),the advancement of urbanization has a positive effect on urban residents’housing affordability,and PLIU is synergistic,while in the Beijing-Tianjin-Hebei(BTH)urban agglomeration,Pearl River Delta(PRD)urban agglomeration,and Chengdu-Chongqing(CC)urban agglomeration,the effect is negative and PLIU is not synergistic,and with the former two,population urbanization is ahead of the others,whereas land urbanization is ahead of the others in the latter.This paper provides a reasonable explanation for the aforementioned results,revealing the mechanisms of how urbanization affects housing affordability,and can serve as a valuable reference for global research on housing affordability,holding significant importance.
基金National Social Science Fund of China,No.22BGL182。
摘要Promoting the synergistic governance of pollution control(PC)and carbon reduction(CR)in the agricultural sector was an important way for the Chinese government to implement the“dual carbon”initiative and respond to climate change.Based on the data of China’s crop production from 31 provincial-level regions from 1997 to 2022,this paper constructs a framework consisting of spatiotemporal evolution,synergy effect measurement,differences in contributions across regions,and influencing factors analysis to reveal the relationship between agricultural PC and CR.The results showed that the annual growth rates of pollutant emissions and carbon emissions were 1.85%and 0.79%,respectively.However,the annual decline rates of their emission intensities were 3.14%and 4.32%,respectively.This indicated that China’s actions to reduce pollution and carbon emissions in agriculture have achieved good results,that the effect of PC was weaker than that of CR and had an obvious“policy node effect.”Simultaneously,the synergy between PC and CR evolved from“basic coordination”to“basic imbalance.”The contribution of inter-regional differences was relatively large,while intra-regional differences were smaller,highlighting the importance of reducing regional disparities in promoting the synergistic governance of PC and CR.The basic conditions,industrial structure,input intensity,and development potential of agricultural development were key factors in widening the coupling coordination gap between PC and CR,and the influence of these significant factors exhibited clear spatiotemporal heterogeneity.These findings have provided important evidence for understanding China’s agricultural environmental governance strategies and could offer experiential insights for developing countries in advancing the coordinated governance of agricultural PC and CR.
基金supported by National Key R&D Program of China(No.2021YFA1501700)National Natural Science Foundation of China(No.52025031,52203016,22001004,U19B6001 and U1904212)+1 种基金China Postdoctoral Science Foundation(2021M703072 and 2022T150617)USTC Research Funds of the Double First-Class Initiative(YD9990002018)。
摘要CONSPECTUS:Polyolefin is one of the most common synthetic polymers.However,most polyolefins are nonpolar materials,which leads to poor compatibility with polar materials,thus limiting their application in some fields.Polar functionalized polyolefins can lead to significantly improved dyeability,adhesiveness and compatibility with polar fillers,and can realize customized properties of polyolefin materials.
基金Supported by the National Natural Science Foundation of China(42173030,42302161,42473034)State Science and Technology Major Project for New Oil and Gas Exploration and Development,Ministry of Science and Technology(2025ZD1400803)。
摘要In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundamental mismatch between oil composition and host rock maturity.To resolve this anomaly,this study integrates geological,geochemical,and petrophysical datasets and systematically evaluates the combined roles of thermal evolution,organofacies,wettability,abnormal overpressure,and migration-related fractionation on shale oil composition.On this basis,a“staged charging-cumulative charging”model is proposed to explain compositional heterogeneity in lacustrine shale oils.The results demonstrate that crude-oil compositions are jointly controlled by the extent of biomarker depletion,the temporal evolution of hydrocarbon charging,and the openness of the source-reservoir system,rather than by thermal maturity or organofacies alone.The upper sweet-spot interval is interpreted to have functioned as a semi-open system during early stages,in which hydrocarbon generation and expulsion were broadly synchronous,leading to preferential loss of early-generated,biomarker-rich heavy components,whereas progressive shale diagenesis at later stages promoted the retention of highly mature,light hydrocarbons.In contrast,the lower sweet-spot interval represents a relatively closed system,where hydrocarbons generated during multiple stages continuously accumulated and were preserved as mixed charges;overprinting by multi-phase fluids progressively weakened sterane isomerization signals,rendering them unreliable indicators of individual charging events or final thermal maturity.This charging behavior provides a reasonable explanation for anomalously low or distorted biomarker parameters observed in intervals of low or similar maturity.Overall,the proposed charging model reconciles the observed reversal in crude-oil properties and,by shifting the interpretive focus from static maturity assessment to charging dynamics,offers a new theoretical basis for understanding lacustrine shale oil accumulation processes,and guiding sweet-spot selection and exploration-development strategies.
基金supported in part by the National Natural Science Foundation of China(62522313,62473207,U25A20301)the Fundamental Research Funds for the Central Universities(2024SMECP03)。
摘要Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distributed control framework that strategically integrates a redesigned saturation function to handle the nonlinear actuator constraint and a high-gain feedback mechanism for effective disturbance rejection.
基金supported by National Key R&D Program of China(grant no.2022YFA1502902)the National Natural Science Foundation of China(grant nos.22371208,22271218,22071182,and 21931007)the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(grant no.2018KJ129).
摘要Photocatalytic CO2reduction into chemical fuels is a promising route for alleviating the energy crisis and environmental issues.However,reported catalysts still exhibit low catalytic efficiencies,which hinders the development of this important reaction.Herein,we report the heterogenization of a dinuclear cobalt molecular catalyst into two porous polymers(Co2-P1 and Co2-P2)using a covalent strategy for photocatalytic CO2reduction.As a result,Co2-P1 with a phenyl group as the linker exhibited high catalytic performance for the photochemical CO2-to-CO conversion with a CO production rate of 568.8 mmol g-1 h-1 and turnover frequency(TOF)of 11.6 min-1(CO selectivity,95.2%).More impressively,by extending the phenyl to biphenyl linker,the resulting Co2-P2 shows obviously enhanced photocatalytic efficiency for CO2reduction to CO,with a record CO production rate of 1063.0 mmol g-1 h-1 and TOF of 23.6 min-1(CO selectivity,94.9%)under a laboratory light source.Furthermore,Co2-P2 also shows outstanding catalytic activity for photocatalytic CO2reduction under natural sunlight,with a CO production rate of 544.1 mmol g-1 h-1 and TOF of 12.1 min-1(CO selectivity,97.2%).Systematic studies demonstrated that fast electron transfer from the photosensitizer to the catalyst greatly contributes to the superior catalytic activity of Co2-P2.