This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composi...This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composite featuring particle-rare coarse grain (CG) and particle-rich fine grain (FG) zones was successfully fabricated. Experimental results demonstrated that compared with the homogeneous structure, the dual-heterostructure composite achieved a significant increase in elongation by 116 % and a remarkable 165 % improvement in the strength-ductility product (SDP), while maintaining a high ultimate tensile strength (UTS) of 417±4 MPa. This substantial performance enhancement is primarily attributed to the additional strain hardening induced by hetero-deformation-induced (HDI) strain hardening and crack-blunting capabilities, as elucidated by microstructural characterization and crystal plasticity finite element modeling (CPFEM). Notably, the strain hardening contribution from the CG zones at the early stage of deformation (≤ 45 % of total plastic deformation amount) is minimal but increases significantly during the subsequent deformation stages. The dislocation increment rate in CG zones (219 %) is observed to be more than double that in FG zones (95 %), attributed to the large grain size and low dislocation density in CG zones, which provide more space for dislocation storage. In addition, the aggravated deformation inhomogeneity as deformation progresses leads to an increase in geometrically necessary dislocations (GNDs) generation near the heterogeneous interface, thereby enhancing HDI hardening. Fracture mechanism analysis indicated that the cracks mainly initiate in the FG region and are effectively blunted upon their propagation to the CG region, necessitating increased energy consumption and indicating higher fracture toughness for the dual-heterostructure composites. This study validates the effectiveness of the dual-heterostructure design in magnesium-based composites, providing a novel understanding of the deformation mechanism through both experimental analysis and CPFEM, paving the way for the development of high-performance, lightweight structural materials.展开更多
Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density function...Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density functional approximation that incorporates dispersion correc-tions for non-covalent interactions.This model utilizes semilocal elec-tron density descriptors,and is trained with accurate reference data for both relative and ab-solute energies.Extensive benchmark tests reveal that the ML correction substantially en-hances the generalization ability of the B3LYP-D functional,improving the predictions of at-omization and dissociation energies for complex molecular systems.It retains the accuracy of B3LYP-D in predicting reaction barrier heights and non-covalent interactions while enabling efficient,fully self-consistent field calculations.This work signifies a promising advancement in the development of ML-corrected functionals that surpass the performance of traditional B3LYP-D.展开更多
Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,...Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,and the competing hydrogen evolution reaction.To address these issues,we designed and fabricated a composite protective layer for Zn anodes by integrating carbon nanotubes(CNTs)with chitosan through a simple and scalable scraping process.The CNTs ensure uniform electric field distribution due to their high electrical conductivity,while protonated chitosan regulates ion transport and suppresses dendrite formation at the anode interface.The chitosan/CNTs composite layer also facilitates smooth Zn^(2+)deposition,enhancing the stability and reversibility of the Zn anode.As a result,the chitosan/CNTs@Zn anode demonstrates exceptional cycling stability,achieving over 3000 h of plating/stripping with minimal degradation.When paired with a V_(2)O_(5)cathode,the composite-protected anode significantly improves the cycle stability and energy density of the full cell.Techno-economic analysis confirms that batteries incorporating the chitosan/CNTs protective layer outperform those with bare Zn anodes in terms of energy density and overall performance under optimized conditions.This work provides a scalable and sustainable strategy to overcome the critical challenges of aqueous Zn-metal batteries,paving the way for their practical application in next-generation energy storage systems.展开更多
Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At prese...Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).展开更多
The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique natu...The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique nature of this soil type.In this study,a series of unconfined compression tests were carried out on unsaturated CWG soil in an underground engineering site,and the effects of varying the environmental variables on the main undrained mechanical properties were analyzed.Based on the experimental results,a novel constitutive model was then established using the damage mechanics theory and the undetermined coefficient method.The results demonstrate that the curves of remolded CWG specimens with different moisture contents and dry densities exhibited diverse characteristics,including brittleness,significant softening,and ductility.As a typical indicator,the unconfined compression strength of soil specimens initially increased with an increase in moisture content and then decreased.Meanwhile,an optimal moisture content of approximately 10.5%could be observed,while a critical moisture content value of 13.0%was identified,beyond which the strength of the specimen decreases sharply.Moreover,the deformation and fracture of CWG specimens were predominantly caused by shear failure,and the ultimate failure modes were primarily influenced by moisture content rather than dry density.Furthermore,by comparing several similar models and the experimental data,the proposed model could accurately replicate the undrained mechanical characteristics of unsaturated CWG soil,and quantitatively describe the key mechanical indexes.These findings offer a valuable reference point for understanding the underlying mechanisms,anticipating potential risks,and implementing effective control measures in similar underground engineering projects.展开更多
Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source fo...Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source for NPC survival,but the effects and underlying mechanisms of increased extracellular matrix(ECM)stiffness on NPC glycolysis remain unknown.In this study,hydrogels with different stiffness were established to mimic the mechanical environment of NPCs.Notably,increased matrix stiffness in degenerated NP tissues from IVDD patients was accompanied with impaired glycolysis,and NPCs cultured on rigid substrates exhibited a reduction in glycolysis.展开更多
Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific stai...Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.展开更多
This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field a...This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field amplitude, decentered parameter, beam waist, and laser chirp parameter, on the energy gain of electrons using coupled momentum equations. Our results indicate that the energy acquisition of electrons escalates with the amplitude of the laser electric field, decentered parameter, and chirp parameter. An appropriate beam waist is essential for attaining energyefficient electron acceleration in a vacuum. Through the optimization of these parameters, we get a maximum electron energy gain of 2.80 Ge V. This study highlights the significance of customized laser pulse attributes in improving electron acceleration and aids in the progression of high-energy particle physics.展开更多
The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue a...The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue autofluorescence—establishing its pivotal role for in vivo deep-tissue bioimaging.With exponential growth in NIR-II photodiagnosis and phototherapy research over the past decade,bibliometric analy⁃sis is essential to map the evolving landscape and guide strategic priorities.We systematically analyzed 2,491 NIR-II-related publications(2009-2023)from the Web of Science Core Collection,employing scientometric tools for distinct analytical purposes:(a)VOSviewer,SCImago Graphica,and Gephi for co-authorship and co-occur⁃rence network mapping;(b)the R bibliometrix package for tracking field evolution and identifying high-impact publications/journals.The search retrieved 2491 studies from 359 journals originating from 54 countries.The country with the most published articles is China.Chinese institutions drive>60%of publications,with Stanford University(USA)and Nanyang Technological University(Singapore)ranked as the top two institutions by re⁃search quality.International cooperation is becoming increasingly frequent.Fan Quli,Tang Benzhong and Dai Hongjie are the top 3 productive authors in this field.Keyword evolution identifies"photodynamic therapy"and"immunotherapy"as pivotal future directions.We summarize the most cited literatures and NIR-II imaging clini⁃cal trials.This study delineates the NIR-II research trajectory,highlighting China's leadership,intensifying glob⁃al collaboration,and interdisciplinary convergence.Future efforts should prioritize the novel NIR-II probe devel⁃opment for NIR-II imaging and clinical translation of photodynamic/immunotherapy combinational platforms.展开更多
This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The result...This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The results showed that NhUCMSCs alleviated osteoarthritis-related cartilage damage and inflammation comparably to both serum-cultured hUCMSCs and hyaluronic acid.While these findings broaden the potential clinical utility of N-hUCMSCs by circumventing certain drawbacks of serum-based cultures,the equivalence in efficacy raises important questions.First,how do N-hUCMSCs differ phenotypically from serum-cultured hUCMSCs,particularly in terms of proliferation rate,replicative capacity,and senescence profile?Second,what advantages might N-hUCMSCs offer over hyaluronic acid-a well-established therapy-beyond avoiding xenogeneic components and ethical concerns?Future research should focus on longterm phenotypic stability,sustained functional benefits,safety profiles,and mechanistic insights to ascertain whether N-hUCMSCs can surpass current standards of care.展开更多
BACKGROUND Diabetes mellitus(DM)and metabolic-associated fatty liver disease(MAFLD)are common metabolic disorders,and their coexistence can exacerbate the progression of either disease.Human umbilical cord mesenchymal...BACKGROUND Diabetes mellitus(DM)and metabolic-associated fatty liver disease(MAFLD)are common metabolic disorders,and their coexistence can exacerbate the progression of either disease.Human umbilical cord mesenchymal stem cell(hUCMSC)therapy has shown promising potential in the treatment of several metabolic diseases.AIM To investigate how hUC-MSCs affect liver metabolism in diabetic rats with MAFLD and assess their therapeutic potential and underlying mechanisms.METHODS A streptozotocin-induced rat model of DM with MAFLD was established,and hUC-MSCs were administered via tail vein injection.Changes in body weight,fasting blood glucose(FBG),and serum triglyceride(TG),alanine aminotransferase,aspartate aminotransferase levels,and pathological changes of liver were evaluated.Receiver operating characteristic analysis was used to assess the diagnostic value of differential metabolites and their ability to predict the therapeutic effects of hUC-MSCs.Spearman correlation was employed to analyze the relationships between liver metabolites and key biochemical markers.RESULTS hUC-MSC treatment significantly reduced FBG and TG levels in diabetic rats with MAFLD and improved histological steatosis and injury in the liver.Metabolomic analysis indicated that hUC-MSCs significantly ameliorated liver metabolic disturbances via their regulatory effect on several key metabolic pathways related to carbohydrate,amino acid,and lipid metabolism.Receiver operating characteristic curve analysis revealed that 70 differential metabolites had good diagnostic value for DM with MAFLD and could effectively predict the therapeutic effect of hUC-MSCs.Moreover,Spearman correlation analysis confirmed that significant correlations existed between differential liver metabolites and the concentrations of biochemical markers(FBG,TG,alanine aminotransferase,aspartate aminotransferase).CONCLUSION hUC-MSCs alleviate liver metabolic disturbances in diabetic rats with MAFLD,thereby mitigating the pathological state of DM and slowing the progression of MAFLD.展开更多
The net primary productivity of vegetation(NPP)is an important index to evaluate the carbon sequestration capacity of vegetation and land use change.Using MOD17N3HGF NPP data,climate data and night-time light data fro...The net primary productivity of vegetation(NPP)is an important index to evaluate the carbon sequestration capacity of vegetation and land use change.Using MOD17N3HGF NPP data,climate data and night-time light data from 2000 to 2020,this study explored the relationship between NPP and urban expansion,land use and climate change in the Southern Part of Taihang Mountain through brightness gradient method,trend analysis,partial correlation analysis and contribution analysis.It aims to provide information support for urban and rural planning and ecological management in this region.Key findings include:Over the past 20 years,NPP in mountain areas has shown an overall fluctuating upward trend,with an“N”pattern related to altitude.The human activity area expanded by 9.9%,with expansion of highly active areas holding back NPP growth and moderately active areas contributing to it.The trend of climate change is gradually warming and wetting,and the correlation between precipitation and NPP is strong,while the correlation between temperature and NPP is weak.Compared with human activities(19.9%),precipitation was the main driver of NPP change,contributing significantly up to 79.5%.In the past 20 years,the ecological quality of the south Taihang Mountain region has improved significantly and actively responded to climate change,but human activities have led to spatial and temporal ecological differences.展开更多
High-entropy alloys(HEAs)have attracted considerable attention because of their excellent properties and broad compositional design space.However,traditional trial-and-error methods for screening HEAs are costly and i...High-entropy alloys(HEAs)have attracted considerable attention because of their excellent properties and broad compositional design space.However,traditional trial-and-error methods for screening HEAs are costly and inefficient,thereby limiting the development of new materials.Although density functional theory(DFT),molecular dynamics(MD),and thermodynamic modeling have improved the design efficiency,their indirect connection to properties has led to limitations in calculation and prediction.With the awarding of the Nobel Prize in Physics and Chemistry to artificial intelligence(AI)related researchers,there has been a renewed enthusiasm for the application of machine learning(ML)in the field of alloy materials.In this study,common and advanced ML models and strategies in HEA design were introduced,and the mechanism by which ML can play a role in composition optimization and performance prediction was investigated through case studies.The general workflow of ML application in material design was also introduced from the programmer’s point of view,including data preprocessing,feature engineering,model training,evaluation,optimization,and interpretability.Furthermore,data scarcity,multi-model coupling,and other challenges and opportunities at the current stage were analyzed,and an outlook on future research directions was provided.展开更多
The research on the conversion efficiency of"Green Mountains into Clear Water"(Green)and"Gold and silver Mountains"(Gold)is of great significance to promote the coordination between natural resourc...The research on the conversion efficiency of"Green Mountains into Clear Water"(Green)and"Gold and silver Mountains"(Gold)is of great significance to promote the coordination between natural resource conservation in national park and the local economic and social development.This paper pays attention to the linking role of ecosystem services in different stages of the conversion process between the Green and Gold.Based on the twostage division,this paper constructs the accounting framework for conversion efficiency of Green and Gold.That is,the comprehensive conversion efficiency of Green and Gold is decomposed into the I-stage efficiency of ecological inputs conversion to Green and the II-stage efficiency of ecosystem services conversion to economic output.Furthermore,the Qilian Mountain National Park in China and its surrounding area Zhangye City,is taken as an example.Using a two-stage non-oriented super-efficiency network EBM model and panel data from 2007 to 2018 to empirically analysis the dynamic evolution characteristics of the conversion efficiency of Green and Gold.Based on this,the heterogeneity improvement strategy is proposed.The results show that:(1)the comprehensive efficiency of the Two Mountains conversion in Zhangye City decreased first and then increased.The highest was 1.715 in 2007;the lowest was 1.367 in 2012;since 2012,the development has gradually improved.The main reason for the decrease in the comprehensive efficiency from 2007 to 2012 is the lower conversion efficiency in IIstage.(2)Spatial difference analysis shows that the areas with low the comprehensive efficiency were concentrated in Sunan,Minle,and Shandan Counties along the Qilian Mountains.The comprehensive efficiency was 0.406,0.489 and 0.482 respectively.The key to improving the comprehensive efficiency of Sunan County and Minle County is II-stage,while the focus of improving Shandan County is I-stage.(3)Redundancy analysis found that the main factor affecting the comprehensive efficiency of the Two Mountains conversion is insufficient output.In the future,we should focus on expanding effective pathways for the Two Mountains conversion and innovating institutional mechanisms for realizing ecological value.展开更多
This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms an...This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms and influencing factors.The findings indicate that the overall abundance of ^(222)Rn in geothermal fluids across the region is relatively low.Geothermal radon mineral water is primarily located within banded thermal reservoirs associated with bedrock fracture structures in the Ludong and Luxi uplift geothermal zones.The study reveals that the ionic composition,radioactivity intensity,and extent of water-rock interactions exert only effects in the concentration of ^(222)Rn in geothermal fluids.The formation of geothermal radon mineral water is predominantly governed by“fracture-controlled”mechanisms,with thermal reservoir lithology,fracture tectonics,and seismic activity serving as key determinants.Additionally,the enrichment of ^(222)Rn in geothermal fluids is influenced by factors such as geothermal fluid temperature,depth of occurrence,cap rock thickness,and alteration processes.The genetic mechanisms of geothermal radon mineral water can be categorized into two types:„native‟and„composite‟.These findings provide critical insights into the exploration and development of geothermal radon mineral water resources in Shandong and similar regions.展开更多
Amid global climate change, rising levels of nitrogen(N) deposition have attracted considerable attention for their potential effects on the carbon cycle of terrestrial ecosystems. The desert steppes are a crucial yet...Amid global climate change, rising levels of nitrogen(N) deposition have attracted considerable attention for their potential effects on the carbon cycle of terrestrial ecosystems. The desert steppes are a crucial yet vulnerable ecosystem in arid areas, but their response to the combination of N addition and precipitation(a crucial factor in arid areas) remains underexplored. This study systematically explored the impact of N addition and precipitation on net ecosystem exchange(NEE) in a desert steppe in northern China. Specifically, we conducted a 2-a experiment from 2022 to 2023 with eight N addition treatments in the Urat desert steppe of Inner Mongolia Autonomous Region, China, to examine changes in NEE and explore its driving factors. The structural equation model(SEM) and multiple regression model were applied to determine the relationship of NEE with plant community characteristics and soil physical-chemical properties. Statistical results showed that N addition has no significant effect on NEE.However, it has a significant impact on the functional traits of desert steppe plant communities. SEM results further revealed that N addition has no significant effect on NEE in the desert steppe, whereas annual precipitation can influence NEE variations. The multiple regression model analysis indicated that plant functional traits play an important role in explaining the changes in NEE, accounting for 62.15% of the variation in NEE. In addition, plant height, as an important plant functional trait indicator, shows stronger reliability in predicting the changes in NEE and becomes a more promising predictor. These findings provide valuable insights into the complex ecological mechanisms governing plant community responses to precipitation and nutrient availability in the arid desert steppes, contributing to the improved monitoring and prediction of desert steppe ecosystem responses to global climate change.展开更多
This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immatur...This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immaturity of EVR calculation methods and difficulties in determining the price of ecological products pose significant challenges to ecological value trading.By employing mathematical models and logical reasoning,this study proposes a novel frame-work for EVR,illustrated through several diagrams.According to this frame-work,ecological value is not static but fluctuates with factors such as human well-being(HV)or gross domestic product(GDP).Therefore,ecological value should be determined by an exchange market rather than solely relying on hypothetical calculation methods.Consequently,carbon trading cases are crucial in under-standing ecological value.Based on the analysis of blue carbon(BC)trading cases,including the lack of international BC exchanges,challenges in carbon sink projects,and the Free Rider Effect,this paper identifies current issues in MEVR and BC trading in China.To address these challenges,we propose integrating carbon trading databases with evaluations of ecological protection and restora-tion projects,along with BC trading data,to calculate ecological value.Addi-tionally,we recommend increasing the supply of BC products in both national carbon trading markets and voluntary markets,promoting the internationaliza-tion of BC accounting,addressing the Free Rider Effect through government actions and market mechanisms,attracting more foreign investment in BC en-hancement projects,and formulating a BC enhancement plan during marine resource development.展开更多
Multiple sclerosis (MS) is characterized by chronic,slowly expanding lesions with the accumulation of myeloid cells,which lead to brain atrophy and progressive disability.The role of mitochondria,especially mitochondr...Multiple sclerosis (MS) is characterized by chronic,slowly expanding lesions with the accumulation of myeloid cells,which lead to brain atrophy and progressive disability.The role of mitochondria,especially mitochondrial respiratory complexes and metabolites,in controlling myeloid immune responses,is well-documented but not fully understood in diseases of the central nervous system (CNS).The groundbreaking study by Prof.Peruzzotti-Jametti et al.[1],entitled"Mitochondrial complexⅠactivity in microglia sustains neuroinflammation"published in Nature,delves into the intricate dynamics between mitochondrial function within microglia and the perpetuation of chronic neuroinflammation,specifically in MS.The core point of their investigation is the hypothesis that mitochondrial complexⅠ(CI) activity,through a mechanism known as reverse electron transport (RET),generates reactive oxygen species (ROS) in microglia,thereby sustaining inflammatory response in the CNS.This increases ROS production from the mitochondria,which is thought to be a crucial factor in the maintenance of a pro-inflammatory state in the microglia,contributing to the pathology of MS and similar neuroinflammatory diseases.展开更多
The challenge of enhancing the generalization capacity of reinforcement learning(RL)agents remains a formidable obstacle.Existing RL methods,despite achieving superhuman performance on certain benchmarks,often struggl...The challenge of enhancing the generalization capacity of reinforcement learning(RL)agents remains a formidable obstacle.Existing RL methods,despite achieving superhuman performance on certain benchmarks,often struggle with this aspect.A potential reason is that the benchmarks used for training and evaluation may not adequately offer a diverse set of transferable tasks.Although recent studies have developed bench-marking environments to address this shortcoming,they typically fall short in providing tasks that both ensure a solid foundation for generalization and exhibit significant variability.To overcome these limitations,this work introduces the concept that‘objects are composed of more fundamental components’in environment design,as implemented in the proposed environment called summon the magic(StM).This environment generates tasks where objects are derived from extensible and shareable basic components,facilitating strategy reuse and enhancing generalization.Furthermore,two new metrics,adaptation sensitivity range(ASR)and parameter correlation coefficient(PCC),are proposed to better capture and evaluate the generalization process of RL agents.Experimental results show that increasing the number of basic components of the object reduces the proximal policy optimization(PPO)agent’s training-testing gap by 60.9%(in episode reward),significantly alleviating overfitting.Additionally,linear variations in other environmental factors,such as the training monster set proportion and the total number of basic components,uniformly decrease the gap by at least 32.1%.These results highlight StM’s effectiveness in benchmarking and probing the generalization capabilities of RL algorithms.展开更多
In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6...In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6%infection in Asia,and 22.1%and 14.7%infection rates in Europe and North America,respectively.To study the dynamics of Leukemia,the population of cells has been divided into three subpopulations of cells susceptible cells,infected cells,and immune cells.To investigate the memory effects and uncertainty in disease progression,leukemia modeling is developed using stochastic fractional delay differential equations(SFDDEs).The feasible properties of positivity,boundedness,and equilibria(i.e.,Leukemia Free Equilibrium(LFE)and Leukemia Present Equilibrium(LPE))of the model were studied rigorously.The local and global stabilities and sensitivity of the parameters around the equilibria under the assumption of reproduction numbers were investigated.To support the theoretical analysis of the model,the Grunwald Letnikov Nonstandard Finite Difference(GL-NSFD)method was used to simulate the results of each subpopulation with memory effect.Also,the positivity and boundedness of the proposed method were studied.Our results show how different methods can help control the cell population and give useful advice to decision-makers on ways to lower leukemia rates in communities.展开更多
基金support from the China Scholarship Council(No.202107000038)support from the National Natural Science Foundation of China(Nos.52004227,52061040,and 12222209)the China Postdoctoral Science Foundation(No:2021M692512).
文摘This study aims to achieve a synergy of strength and ductility in magnesium-based nanocomposite materials through the design of a dual-heterostructure. Utilizing ball milling and hot extrusion, a nano-TiC/AZ61 composite featuring particle-rare coarse grain (CG) and particle-rich fine grain (FG) zones was successfully fabricated. Experimental results demonstrated that compared with the homogeneous structure, the dual-heterostructure composite achieved a significant increase in elongation by 116 % and a remarkable 165 % improvement in the strength-ductility product (SDP), while maintaining a high ultimate tensile strength (UTS) of 417±4 MPa. This substantial performance enhancement is primarily attributed to the additional strain hardening induced by hetero-deformation-induced (HDI) strain hardening and crack-blunting capabilities, as elucidated by microstructural characterization and crystal plasticity finite element modeling (CPFEM). Notably, the strain hardening contribution from the CG zones at the early stage of deformation (≤ 45 % of total plastic deformation amount) is minimal but increases significantly during the subsequent deformation stages. The dislocation increment rate in CG zones (219 %) is observed to be more than double that in FG zones (95 %), attributed to the large grain size and low dislocation density in CG zones, which provide more space for dislocation storage. In addition, the aggravated deformation inhomogeneity as deformation progresses leads to an increase in geometrically necessary dislocations (GNDs) generation near the heterogeneous interface, thereby enhancing HDI hardening. Fracture mechanism analysis indicated that the cracks mainly initiate in the FG region and are effectively blunted upon their propagation to the CG region, necessitating increased energy consumption and indicating higher fracture toughness for the dual-heterostructure composites. This study validates the effectiveness of the dual-heterostructure design in magnesium-based composites, providing a novel understanding of the deformation mechanism through both experimental analysis and CPFEM, paving the way for the development of high-performance, lightweight structural materials.
基金supported by the National Natural Science Foundation of China(Nos.22393912,22425301,22373091,22173088)the AI for Science Foundation of Fudan University(No.Fudan X24AI023)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0450101).
文摘Machine learning(ML)has demon-strated significant potential in en-hancing the predictive capabilities of density functional theory methods.In this study,we develop an ML model for correcting B3LYP-D,a density functional approximation that incorporates dispersion correc-tions for non-covalent interactions.This model utilizes semilocal elec-tron density descriptors,and is trained with accurate reference data for both relative and ab-solute energies.Extensive benchmark tests reveal that the ML correction substantially en-hances the generalization ability of the B3LYP-D functional,improving the predictions of at-omization and dissociation energies for complex molecular systems.It retains the accuracy of B3LYP-D in predicting reaction barrier heights and non-covalent interactions while enabling efficient,fully self-consistent field calculations.This work signifies a promising advancement in the development of ML-corrected functionals that surpass the performance of traditional B3LYP-D.
基金supported by the National Natural Science Foundation of China(22279139,62227815,22465026,22469015)the National Key R&D Program of China(2022YFA1504500)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(2024JQ06,2022MS2010,2024MS05005)Inner Mongolia University Postgraduate Scientific Research Innovation Project(11200-5223737)。
文摘Rechargeable aqueous zinc(Zn)-metal batteries hold great promise for next-generation energy storage systems.However,their practical application is hindered by several challenges,including dendrite formation,corrosion,and the competing hydrogen evolution reaction.To address these issues,we designed and fabricated a composite protective layer for Zn anodes by integrating carbon nanotubes(CNTs)with chitosan through a simple and scalable scraping process.The CNTs ensure uniform electric field distribution due to their high electrical conductivity,while protonated chitosan regulates ion transport and suppresses dendrite formation at the anode interface.The chitosan/CNTs composite layer also facilitates smooth Zn^(2+)deposition,enhancing the stability and reversibility of the Zn anode.As a result,the chitosan/CNTs@Zn anode demonstrates exceptional cycling stability,achieving over 3000 h of plating/stripping with minimal degradation.When paired with a V_(2)O_(5)cathode,the composite-protected anode significantly improves the cycle stability and energy density of the full cell.Techno-economic analysis confirms that batteries incorporating the chitosan/CNTs protective layer outperform those with bare Zn anodes in terms of energy density and overall performance under optimized conditions.This work provides a scalable and sustainable strategy to overcome the critical challenges of aqueous Zn-metal batteries,paving the way for their practical application in next-generation energy storage systems.
基金supported by the Project of Map of Scientific and Technological Talents in the Field of Traditional Chinese Medicine(No.XMSB20240923106).
文摘Leveraging unique resource advantages of traditional Chinese medicine(TCM)to achieve innovative breakthroughs in research constitutes a core strategic imperative for its inheritance,innovation and development.At present,the academic advances and scientific achievements in TCM serve as a key driving force for industry growth and advancement of the inheritance and innovation of TCM.To continuously strengthen the leading role of academic research,the China Association of Chinese Medicine(CACM)attaches great importance to the latest research directions and academic results in TCM,and spotlights key advances and emerging trends in TCM scholarship.Since 2020,CACM has conducted the selection and release of the“top 10 academic advances in traditional Chinese medicine”on a yearly basis.The selection of“top 10 academic advances in traditional Chinese medicine in 2024”prioritized research that addresses clinical needs,answers scientific questions and drives industrial development.Highlighting exploratory,forward-looking,innovative and groundbreaking achievements,the following 10 breakthroughs were selected through a process of collection,systematic review and expert evaluation:New advances in prevention and treatment of digestive system diseases with“brain-gut”cross-organ strategy,high-level evidence support for prevention and treatment of cardiovascular disease(CVD)continuum with TCM,important breakthrough in the research on prevention and treatment of acute radiation injury with TCM,elucidation of molecular mechanisms underlying“excellent shape and high quality”variation in cultivated American ginseng through domestication,biosynthesis of trace active ingredients such as benzylisoquinoline alkaloids,pilot application of artificial intelligence(AI)technology,research technology for unelucidated constituents of TCM,new drug delivery system in TCM,and establishment and preliminary application of integrated evidence chain-based effectiveness evaluation of TCM(iEC-Eff).
基金Project(42202318)supported by the National Natural Science Foundation of ChinaProject(252300421199)supported by the Natural Science Foundation of Henan Province,ChinaProject(2024JJ6219)supported by the Hunan Provincial Natural Science Foundation of China。
文摘The undrained mechanical behavior of unsaturated completely weathered granite(CWG)is highly susceptible to alterations in the hydraulic environment,particularly under uniaxial loading conditions,due to the unique nature of this soil type.In this study,a series of unconfined compression tests were carried out on unsaturated CWG soil in an underground engineering site,and the effects of varying the environmental variables on the main undrained mechanical properties were analyzed.Based on the experimental results,a novel constitutive model was then established using the damage mechanics theory and the undetermined coefficient method.The results demonstrate that the curves of remolded CWG specimens with different moisture contents and dry densities exhibited diverse characteristics,including brittleness,significant softening,and ductility.As a typical indicator,the unconfined compression strength of soil specimens initially increased with an increase in moisture content and then decreased.Meanwhile,an optimal moisture content of approximately 10.5%could be observed,while a critical moisture content value of 13.0%was identified,beyond which the strength of the specimen decreases sharply.Moreover,the deformation and fracture of CWG specimens were predominantly caused by shear failure,and the ultimate failure modes were primarily influenced by moisture content rather than dry density.Furthermore,by comparing several similar models and the experimental data,the proposed model could accurately replicate the undrained mechanical characteristics of unsaturated CWG soil,and quantitatively describe the key mechanical indexes.These findings offer a valuable reference point for understanding the underlying mechanisms,anticipating potential risks,and implementing effective control measures in similar underground engineering projects.
基金supported by the National Nature Science Foundation of China(No.82002345 to J.D and 81902179 to L.S)the Gusu Talent Program(No.Qngg2022008 and GSWS2021027 to J.D)the Preliminary Research Project of the Second Affiliated Hospital of Soochow University(No.SDFEYBS1905 to J.D).
文摘Increased matrix stiffness of nucleus pulposus(NP)tissue is a main feature of intervertebral disc degeneration(IVDD)and affects various functions of nucleus pulposus cells(NPCs).Glycolysis is the main energy source for NPC survival,but the effects and underlying mechanisms of increased extracellular matrix(ECM)stiffness on NPC glycolysis remain unknown.In this study,hydrogels with different stiffness were established to mimic the mechanical environment of NPCs.Notably,increased matrix stiffness in degenerated NP tissues from IVDD patients was accompanied with impaired glycolysis,and NPCs cultured on rigid substrates exhibited a reduction in glycolysis.
基金supported by the Fundamental Research Funds for the Central Universities(No.20720230037)the National Natural Science Foundation of China(No.52273305)+2 种基金Natural Science Foundation of Fujian Province of China(No.2023J05012)State Key Laboratory of Vaccines for Infectious Diseases,Xiang An Biomedicine Laboratory(Nos.2023XAKJ0103071,2023XAKJ0102061)Natural Science Foundation of Xiamen,China(No.3502Z20227010).
文摘Histopathological analysis of chronic wounds is crucial for clinicians to accurately assess wound healing progress and detect potential malignancy.However,traditional pathological tissue sections require specific staining procedures involving carcinogenic chemicals.This study proposes an interdisciplinary approach merging materials science,medicine,and artificial intelligence(AI)to develop a virtual staining technique and intelligent evaluation model based on deep learning for chronic wound tissue pathology.This innovation aims to enhance clinical diagnosis and treatment by offering personalized AI-driven therapeutic strategies.By establishing a mouse model of chronic wounds and using a series of hydrogel wound dressings,tissue pathology sections were periodically collected for manual staining and healing assessment.We focused on leveraging the pix2pix image translation framework within deep learning networks.Through CNN models implemented in Python using PyTorch,our study involves learning and feature extraction for region segmentation of pathological slides.Comparative analysis between virtual staining and manual staining results,along with healing diagnosis conclusions,aims to optimize AI models.Ultimately,this approach integrates new metrics such as image recognition,quantitative analysis,and digital diagnostics to formulate an intelligent wound assessment model,facilitating smart monitoring and personalized treatment of wounds.In blind evaluation by pathologists,minimal disparities were found between virtual and conventional histologically stained images of murine wound tissue.The evaluation used pathologists’average scores on real stained images as a benchmark.The scores for virtual stained images were 71.1%for cellular features,75.4%for tissue structures,and 77.8%for overall assessment.Metrics such as PSNR(20.265)and SSIM(0.634)demonstrated our algorithms’superior performance over existing networks.Eight pathological features such as epidermis,hair follicles,and granulation tissue can be accurately identified,and the images were found to be more faithful to the actual tissue feature distribution when compared to manually annotated data.
文摘This research examines the dynamics of a cosh-Gaussian laser pulse travelling through a vacuum and its impact on electron acceleration. We examine the impact of several critical factors, such as laser electric field amplitude, decentered parameter, beam waist, and laser chirp parameter, on the energy gain of electrons using coupled momentum equations. Our results indicate that the energy acquisition of electrons escalates with the amplitude of the laser electric field, decentered parameter, and chirp parameter. An appropriate beam waist is essential for attaining energyefficient electron acceleration in a vacuum. Through the optimization of these parameters, we get a maximum electron energy gain of 2.80 Ge V. This study highlights the significance of customized laser pulse attributes in improving electron acceleration and aids in the progression of high-energy particle physics.
基金Supported by National Natural Science Foundation of China(81874059 and 82102105)the Natural Science Foundation of Zhejiang Province(LQ22H160017)the China Postdoctoral Science Foundation(2021M702825).
文摘The second near-infrared window(NIR-II,900-1880 nm)overcomes critical limitations of visible(360-760 nm)and NIR-I(760-900 nm)imaging—including restricted penetration depth,low signal-to-back⁃ground ratio,and tissue autofluorescence—establishing its pivotal role for in vivo deep-tissue bioimaging.With exponential growth in NIR-II photodiagnosis and phototherapy research over the past decade,bibliometric analy⁃sis is essential to map the evolving landscape and guide strategic priorities.We systematically analyzed 2,491 NIR-II-related publications(2009-2023)from the Web of Science Core Collection,employing scientometric tools for distinct analytical purposes:(a)VOSviewer,SCImago Graphica,and Gephi for co-authorship and co-occur⁃rence network mapping;(b)the R bibliometrix package for tracking field evolution and identifying high-impact publications/journals.The search retrieved 2491 studies from 359 journals originating from 54 countries.The country with the most published articles is China.Chinese institutions drive>60%of publications,with Stanford University(USA)and Nanyang Technological University(Singapore)ranked as the top two institutions by re⁃search quality.International cooperation is becoming increasingly frequent.Fan Quli,Tang Benzhong and Dai Hongjie are the top 3 productive authors in this field.Keyword evolution identifies"photodynamic therapy"and"immunotherapy"as pivotal future directions.We summarize the most cited literatures and NIR-II imaging clini⁃cal trials.This study delineates the NIR-II research trajectory,highlighting China's leadership,intensifying glob⁃al collaboration,and interdisciplinary convergence.Future efforts should prioritize the novel NIR-II probe devel⁃opment for NIR-II imaging and clinical translation of photodynamic/immunotherapy combinational platforms.
基金Supported by the Natural Science Foundation of Shanghai,No.24ZR1459300(to Xiao-Ting Liang)and the Pyramid Talent Project,No.YQ677(to Yue Ding).
文摘This article discusses the study by Xiao et al,which investigated the therapeutic efficacy of serum-free cultured human umbilical cord mesenchymal stem cells(NhUCMSCs)in a mouse model of knee osteoarthritis.The results showed that NhUCMSCs alleviated osteoarthritis-related cartilage damage and inflammation comparably to both serum-cultured hUCMSCs and hyaluronic acid.While these findings broaden the potential clinical utility of N-hUCMSCs by circumventing certain drawbacks of serum-based cultures,the equivalence in efficacy raises important questions.First,how do N-hUCMSCs differ phenotypically from serum-cultured hUCMSCs,particularly in terms of proliferation rate,replicative capacity,and senescence profile?Second,what advantages might N-hUCMSCs offer over hyaluronic acid-a well-established therapy-beyond avoiding xenogeneic components and ethical concerns?Future research should focus on longterm phenotypic stability,sustained functional benefits,safety profiles,and mechanistic insights to ascertain whether N-hUCMSCs can surpass current standards of care.
基金Supported by the National Key Specialty Major Scientific Research Project of the Hunan Provincial Health Commission,No.Z2023158.
文摘BACKGROUND Diabetes mellitus(DM)and metabolic-associated fatty liver disease(MAFLD)are common metabolic disorders,and their coexistence can exacerbate the progression of either disease.Human umbilical cord mesenchymal stem cell(hUCMSC)therapy has shown promising potential in the treatment of several metabolic diseases.AIM To investigate how hUC-MSCs affect liver metabolism in diabetic rats with MAFLD and assess their therapeutic potential and underlying mechanisms.METHODS A streptozotocin-induced rat model of DM with MAFLD was established,and hUC-MSCs were administered via tail vein injection.Changes in body weight,fasting blood glucose(FBG),and serum triglyceride(TG),alanine aminotransferase,aspartate aminotransferase levels,and pathological changes of liver were evaluated.Receiver operating characteristic analysis was used to assess the diagnostic value of differential metabolites and their ability to predict the therapeutic effects of hUC-MSCs.Spearman correlation was employed to analyze the relationships between liver metabolites and key biochemical markers.RESULTS hUC-MSC treatment significantly reduced FBG and TG levels in diabetic rats with MAFLD and improved histological steatosis and injury in the liver.Metabolomic analysis indicated that hUC-MSCs significantly ameliorated liver metabolic disturbances via their regulatory effect on several key metabolic pathways related to carbohydrate,amino acid,and lipid metabolism.Receiver operating characteristic curve analysis revealed that 70 differential metabolites had good diagnostic value for DM with MAFLD and could effectively predict the therapeutic effect of hUC-MSCs.Moreover,Spearman correlation analysis confirmed that significant correlations existed between differential liver metabolites and the concentrations of biochemical markers(FBG,TG,alanine aminotransferase,aspartate aminotransferase).CONCLUSION hUC-MSCs alleviate liver metabolic disturbances in diabetic rats with MAFLD,thereby mitigating the pathological state of DM and slowing the progression of MAFLD.
基金funded by NSFC Regional Innovation Development Joint Fund Key Project(U21A20108)General Project of Natural Science Foundation of Henan Province(242300421365)+3 种基金Support Plan for Technological Innovation Teams in Henan Province’s Higher Education Institutions(22IRTSTHN008)General Project for Humanities and Social Sciences in Higher Education Institutions of Henan Province(2024ZZJH147)Co-fundedResearch Program of“Double First-class”Creation Project of Surveying and Mapping Science and Technology Discipline(GCCYJ202401).
文摘The net primary productivity of vegetation(NPP)is an important index to evaluate the carbon sequestration capacity of vegetation and land use change.Using MOD17N3HGF NPP data,climate data and night-time light data from 2000 to 2020,this study explored the relationship between NPP and urban expansion,land use and climate change in the Southern Part of Taihang Mountain through brightness gradient method,trend analysis,partial correlation analysis and contribution analysis.It aims to provide information support for urban and rural planning and ecological management in this region.Key findings include:Over the past 20 years,NPP in mountain areas has shown an overall fluctuating upward trend,with an“N”pattern related to altitude.The human activity area expanded by 9.9%,with expansion of highly active areas holding back NPP growth and moderately active areas contributing to it.The trend of climate change is gradually warming and wetting,and the correlation between precipitation and NPP is strong,while the correlation between temperature and NPP is weak.Compared with human activities(19.9%),precipitation was the main driver of NPP change,contributing significantly up to 79.5%.In the past 20 years,the ecological quality of the south Taihang Mountain region has improved significantly and actively responded to climate change,but human activities have led to spatial and temporal ecological differences.
基金the National Natural Science Foundation of China(52161011)the Central Guiding Local Science and Technology Development Fund Project(Guike ZY23055005,Guike ZY24212036 and GuikeAB25069457)+5 种基金the Guangxi Science and Technology Project(2023GXNSFDA026046 and Guike AB24010247)the Scientifc Research and Technology Development Program of Guilin(20220110-3 and 20230110-3)the Scientifc Research and Technology Development Program of Nanning Jiangnan district(20230715-02)the Guangxi Key Laboratory of Superhard Material(2022-K-001)the Guangxi Key Laboratory of Information Materials(231003-Z,231033-K and 231013-Z)the Innovation Project of GUET Graduate Education(2025YCXS177)for the fnancial support given to this work.
文摘High-entropy alloys(HEAs)have attracted considerable attention because of their excellent properties and broad compositional design space.However,traditional trial-and-error methods for screening HEAs are costly and inefficient,thereby limiting the development of new materials.Although density functional theory(DFT),molecular dynamics(MD),and thermodynamic modeling have improved the design efficiency,their indirect connection to properties has led to limitations in calculation and prediction.With the awarding of the Nobel Prize in Physics and Chemistry to artificial intelligence(AI)related researchers,there has been a renewed enthusiasm for the application of machine learning(ML)in the field of alloy materials.In this study,common and advanced ML models and strategies in HEA design were introduced,and the mechanism by which ML can play a role in composition optimization and performance prediction was investigated through case studies.The general workflow of ML application in material design was also introduced from the programmer’s point of view,including data preprocessing,feature engineering,model training,evaluation,optimization,and interpretability.Furthermore,data scarcity,multi-model coupling,and other challenges and opportunities at the current stage were analyzed,and an outlook on future research directions was provided.
基金funded by National Natural Science Foundation of China(Grant No.:42461046)the Postdoctoral Science Foundation of China(Grant No.:2020M673641XB).
文摘The research on the conversion efficiency of"Green Mountains into Clear Water"(Green)and"Gold and silver Mountains"(Gold)is of great significance to promote the coordination between natural resource conservation in national park and the local economic and social development.This paper pays attention to the linking role of ecosystem services in different stages of the conversion process between the Green and Gold.Based on the twostage division,this paper constructs the accounting framework for conversion efficiency of Green and Gold.That is,the comprehensive conversion efficiency of Green and Gold is decomposed into the I-stage efficiency of ecological inputs conversion to Green and the II-stage efficiency of ecosystem services conversion to economic output.Furthermore,the Qilian Mountain National Park in China and its surrounding area Zhangye City,is taken as an example.Using a two-stage non-oriented super-efficiency network EBM model and panel data from 2007 to 2018 to empirically analysis the dynamic evolution characteristics of the conversion efficiency of Green and Gold.Based on this,the heterogeneity improvement strategy is proposed.The results show that:(1)the comprehensive efficiency of the Two Mountains conversion in Zhangye City decreased first and then increased.The highest was 1.715 in 2007;the lowest was 1.367 in 2012;since 2012,the development has gradually improved.The main reason for the decrease in the comprehensive efficiency from 2007 to 2012 is the lower conversion efficiency in IIstage.(2)Spatial difference analysis shows that the areas with low the comprehensive efficiency were concentrated in Sunan,Minle,and Shandan Counties along the Qilian Mountains.The comprehensive efficiency was 0.406,0.489 and 0.482 respectively.The key to improving the comprehensive efficiency of Sunan County and Minle County is II-stage,while the focus of improving Shandan County is I-stage.(3)Redundancy analysis found that the main factor affecting the comprehensive efficiency of the Two Mountains conversion is insufficient output.In the future,we should focus on expanding effective pathways for the Two Mountains conversion and innovating institutional mechanisms for realizing ecological value.
基金supported by the Geological Exploration Leading Demonstration and Science and Technology Research Project of Shandong Provincial Bureau of Geology and Mineral Resources Exploration and Development in 2022(No.KY202203).
文摘This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms and influencing factors.The findings indicate that the overall abundance of ^(222)Rn in geothermal fluids across the region is relatively low.Geothermal radon mineral water is primarily located within banded thermal reservoirs associated with bedrock fracture structures in the Ludong and Luxi uplift geothermal zones.The study reveals that the ionic composition,radioactivity intensity,and extent of water-rock interactions exert only effects in the concentration of ^(222)Rn in geothermal fluids.The formation of geothermal radon mineral water is predominantly governed by“fracture-controlled”mechanisms,with thermal reservoir lithology,fracture tectonics,and seismic activity serving as key determinants.Additionally,the enrichment of ^(222)Rn in geothermal fluids is influenced by factors such as geothermal fluid temperature,depth of occurrence,cap rock thickness,and alteration processes.The genetic mechanisms of geothermal radon mineral water can be categorized into two types:„native‟and„composite‟.These findings provide critical insights into the exploration and development of geothermal radon mineral water resources in Shandong and similar regions.
基金supported by the Major Science and Technology Project of Inner Mongolia Autonomous Region (2024JBGS0011-02)Foundation for Innovative Research Groups in Basic Research of Gansu Province (25JRRA490)+1 种基金Youth Innovation Promotion Association of the Chinese Academy of Sciences (2022437)National Natural Science Foundation of China (42207538)。
文摘Amid global climate change, rising levels of nitrogen(N) deposition have attracted considerable attention for their potential effects on the carbon cycle of terrestrial ecosystems. The desert steppes are a crucial yet vulnerable ecosystem in arid areas, but their response to the combination of N addition and precipitation(a crucial factor in arid areas) remains underexplored. This study systematically explored the impact of N addition and precipitation on net ecosystem exchange(NEE) in a desert steppe in northern China. Specifically, we conducted a 2-a experiment from 2022 to 2023 with eight N addition treatments in the Urat desert steppe of Inner Mongolia Autonomous Region, China, to examine changes in NEE and explore its driving factors. The structural equation model(SEM) and multiple regression model were applied to determine the relationship of NEE with plant community characteristics and soil physical-chemical properties. Statistical results showed that N addition has no significant effect on NEE.However, it has a significant impact on the functional traits of desert steppe plant communities. SEM results further revealed that N addition has no significant effect on NEE in the desert steppe, whereas annual precipitation can influence NEE variations. The multiple regression model analysis indicated that plant functional traits play an important role in explaining the changes in NEE, accounting for 62.15% of the variation in NEE. In addition, plant height, as an important plant functional trait indicator, shows stronger reliability in predicting the changes in NEE and becomes a more promising predictor. These findings provide valuable insights into the complex ecological mechanisms governing plant community responses to precipitation and nutrient availability in the arid desert steppes, contributing to the improved monitoring and prediction of desert steppe ecosystem responses to global climate change.
基金Fund of Laboratory of Marine Ecological Conservation and Restoration,Ministry of Natural Resources/Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration,Grant/Award Number:EPR2023010Fund of Key Laboratory of Marine Environmental Survey Technology and Application,Ministry of Natural Resources,Grant/Award Number:MESTA-2022-D003。
文摘This study aims to develop and expand a new perspective on ecological value realization(EVR)and provide policy recommendations for marine ecological value realization(MEVR)based on Carbon Trading.Currently,the immaturity of EVR calculation methods and difficulties in determining the price of ecological products pose significant challenges to ecological value trading.By employing mathematical models and logical reasoning,this study proposes a novel frame-work for EVR,illustrated through several diagrams.According to this frame-work,ecological value is not static but fluctuates with factors such as human well-being(HV)or gross domestic product(GDP).Therefore,ecological value should be determined by an exchange market rather than solely relying on hypothetical calculation methods.Consequently,carbon trading cases are crucial in under-standing ecological value.Based on the analysis of blue carbon(BC)trading cases,including the lack of international BC exchanges,challenges in carbon sink projects,and the Free Rider Effect,this paper identifies current issues in MEVR and BC trading in China.To address these challenges,we propose integrating carbon trading databases with evaluations of ecological protection and restora-tion projects,along with BC trading data,to calculate ecological value.Addi-tionally,we recommend increasing the supply of BC products in both national carbon trading markets and voluntary markets,promoting the internationaliza-tion of BC accounting,addressing the Free Rider Effect through government actions and market mechanisms,attracting more foreign investment in BC en-hancement projects,and formulating a BC enhancement plan during marine resource development.
基金supported by the Taishan Scholars Program of Shandong Province(tsqn202312344).
文摘Multiple sclerosis (MS) is characterized by chronic,slowly expanding lesions with the accumulation of myeloid cells,which lead to brain atrophy and progressive disability.The role of mitochondria,especially mitochondrial respiratory complexes and metabolites,in controlling myeloid immune responses,is well-documented but not fully understood in diseases of the central nervous system (CNS).The groundbreaking study by Prof.Peruzzotti-Jametti et al.[1],entitled"Mitochondrial complexⅠactivity in microglia sustains neuroinflammation"published in Nature,delves into the intricate dynamics between mitochondrial function within microglia and the perpetuation of chronic neuroinflammation,specifically in MS.The core point of their investigation is the hypothesis that mitochondrial complexⅠ(CI) activity,through a mechanism known as reverse electron transport (RET),generates reactive oxygen species (ROS) in microglia,thereby sustaining inflammatory response in the CNS.This increases ROS production from the mitochondria,which is thought to be a crucial factor in the maintenance of a pro-inflammatory state in the microglia,contributing to the pathology of MS and similar neuroinflammatory diseases.
基金Supported by the National Key R&D Program of China(No.2023YFB4502200)the National Natural Science Foundation of China(No.U22A2028,61925208,62222214,62341411,62102398,62102399,U20A20227,62302478,62302482,62302483,62302480,62302481)+2 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0660300,XDB0660301,XDB0660302)the Chinese Academy of Sciences Project for Young Scientists in Basic Research(No.YSBR-029)the Youth Innovation Promotion Association of Chinese Academy of Sciences and Xplore Prize.
文摘The challenge of enhancing the generalization capacity of reinforcement learning(RL)agents remains a formidable obstacle.Existing RL methods,despite achieving superhuman performance on certain benchmarks,often struggle with this aspect.A potential reason is that the benchmarks used for training and evaluation may not adequately offer a diverse set of transferable tasks.Although recent studies have developed bench-marking environments to address this shortcoming,they typically fall short in providing tasks that both ensure a solid foundation for generalization and exhibit significant variability.To overcome these limitations,this work introduces the concept that‘objects are composed of more fundamental components’in environment design,as implemented in the proposed environment called summon the magic(StM).This environment generates tasks where objects are derived from extensible and shareable basic components,facilitating strategy reuse and enhancing generalization.Furthermore,two new metrics,adaptation sensitivity range(ASR)and parameter correlation coefficient(PCC),are proposed to better capture and evaluate the generalization process of RL agents.Experimental results show that increasing the number of basic components of the object reduces the proximal policy optimization(PPO)agent’s training-testing gap by 60.9%(in episode reward),significantly alleviating overfitting.Additionally,linear variations in other environmental factors,such as the training monster set proportion and the total number of basic components,uniformly decrease the gap by at least 32.1%.These results highlight StM’s effectiveness in benchmarking and probing the generalization capabilities of RL algorithms.
基金supported by the Fundacao para a Ciencia e Tecnologia,FCT,under the project https://doi.org/10.54499/UIDB/04674/2020(accessed on 1 January 2025).
文摘In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6%infection in Asia,and 22.1%and 14.7%infection rates in Europe and North America,respectively.To study the dynamics of Leukemia,the population of cells has been divided into three subpopulations of cells susceptible cells,infected cells,and immune cells.To investigate the memory effects and uncertainty in disease progression,leukemia modeling is developed using stochastic fractional delay differential equations(SFDDEs).The feasible properties of positivity,boundedness,and equilibria(i.e.,Leukemia Free Equilibrium(LFE)and Leukemia Present Equilibrium(LPE))of the model were studied rigorously.The local and global stabilities and sensitivity of the parameters around the equilibria under the assumption of reproduction numbers were investigated.To support the theoretical analysis of the model,the Grunwald Letnikov Nonstandard Finite Difference(GL-NSFD)method was used to simulate the results of each subpopulation with memory effect.Also,the positivity and boundedness of the proposed method were studied.Our results show how different methods can help control the cell population and give useful advice to decision-makers on ways to lower leukemia rates in communities.
