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Understory seedlings of Quercus mongolica survive by phenological escape

Forest Ecosystems 2024年第2期11卷 236-246页

作者： Shixiong Wu Ying liu Lulu he Wei Zeng Qijing liu College of Forestry Beijing Forestry UniversityBeijing100083China

Understanding understory seedling regeneration mechanisms is important for the sustainable development of temperate primary forests in the context of increasingly intense climate warming *** poor regeneration of dominant tree species,however,is one of the biggest challenges it faces at the ***,the regeneration of the shade-intolerant Quercus mongolica seedling is difficult in primary forests,which contrasts with the extreme abundance of understory seedlings in secondary *** mechanism behind the interesting phenomenon is still *** study used in-situ monitoring and nursery-controlled experiment to investigate the survival rate,growth performance,as well as nonstructural carbohydrate (NSC) concentrations and pools of various organ tissues of seedlings for two consecutive years,further analyze the understory light availability and simulate the foliage carbon (C) gain in the secondary and primary *** suggested that seedlings in the secondary forest had greater biomass allocation aboveground,height and specific leaf area (SLA) in summer,which allowed the seedling to survive longer in the canopy closure *** light availability and positive C gain in early spring and late autumn are key factors affecting the growth and survival of understory seedlings in the secondary forest,whereas seedlings in the primary forest had annual negative carbon *** the growing season,the total NSC concentrations of seedlings gradually decreased,whereas those of seedlings in the secondary forest increased significantly in autumn,and were mainly stored in roots for winter consumption and the following year's summer shade period,which was verified by the nursery-controlled experiment that simulated autumn enhanced light availability improved seedling survival rate and NSC *** conclusion,our results revealed the survival trade-off strategies of Quercus mongolica seedlings and highlighted the necessity of high light availability d

关键词： Carbon gain Nonstructural carbohydrate Recruitment Trade-off Biomass allocation

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Achieving near-infrared-light-mediated switchable friction regulation on MXene-based double network hydrogels

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Friction 2024年第1期12卷 39-51页

作者： Pengxi WU Cheng ZENG Jinglun guo guoqiang liu Feng ZHOU Weimin liu Center of Advanced Lubrication and Sealing Materials State Key Laboratory of Solidification ProcessingNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China

MXene possesses great potential in enriching the functionalities of hydrogels due to its unique metallic conductivity,high aspect ratio,near-infrared light(NIR light)responsiveness,and wide tunability,however,the poor compatibility of MXene with hydrogels limits further *** this work,we report a uniformly dispersed MXene-functionalized poly-N-isopropylacrylamide(PNIPAM)/poly-2-acrylamido-2-methyl-1-propanesulfonic acid(PAMPS)double network hydrogel(M–DN hydrogel)that can achieve switchable friction regulation by using the NIR *** dispersity of MXene in hydrogels was significantly improved by incorporating the chitosan(CS)*** M–DN hydrogel showed much low coefficient of friction(COF)at 25℃ due to the presence of hydration layer on hydrogel *** illuminating with the NIR light,M–DN hydrogel with good photothermal effect rapidly raised the temperature to above the lower critical solution temperature(LCST),which led to an obvious increase of surface COF owing to the destruction of the hydration *** addition,M–DN friction control hydrogel showed good recyclability and controllability by tuning“on-off”of the NIR *** work highlights the construction of functional MXene hydrogels for intelligent lubrication,which provides insight for interface sensing,controlled transmission,and flexible robotic arms.

关键词： MXene dispersion photothermal hydrogel near-infrared(NIR)light friction modulation

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Impact and mechanism of bisphosphonate depressant 1-hydroxypropane-1,1-diphosphonic acid on flotation decalcification of dolomite-rich magnesite ore

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International Journal of Mining Science and Technology 2024年第7期34卷 1017-1032页

作者： Wengang liu Xudong Chen Wenbao liu Naixu Zhang Yong Mao Ying guo School of Resources&Civil Engineering Northeastern UniversityShenyang 110819China

Given the depletion of high-quality magnesite deposits and the rising demand for high-end magnesium materials,the separation and utilization of high-calcium magnesite ores have become ***,the similar surface properties and solubility of semi-soluble salt-type minerals,pose significant challenges for the utilization of dolomite-rich magnesite *** this study,1-hydroxypropane-1,1-di phosphonic acid(HPDP)was identified for the first time as a high-performance depressant for *** tests,including contact angle measurements,ζ potential analysis,X-ray photoelectron spectroscopy,and atomic force microscopy,were conducted to elucidate the interfacial interaction mechanisms of HPDP on the surfaces of the two minerals at different ***,molecular modeling calculations were used to detail the spatial matching relationship between HPDP and the crystal faces of the two *** was emphasized that HPDP specifically adsorbed onto the dolomite surface by forming calcium phosphonate,ensuring that the dolomite surface remained hydrophilic and ***,it was found that the adsorption strength of HPDP on the mineral surfaces depended on the activity of the metal sites and their spatial *** findings provide a theoretical foundation for the molecular design of flotation reagents for high-calcium magnesite ores.

关键词： Depressant Interfacial mechanism Magnesite Dolomite DFT Decalcification

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Instantaneous preparation of gold-carbon dot nanocomposites for on-site SERS identification of pathogens in diverse interfaces

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Photonics Research 2024年第6期12卷 1303-1312页

作者： YANXIAN guo YE liu CHAOCAI LUO YUE ZHANG YANG LI FEI ZHOU ZHOUYI guo ZheNGFEI ZHUANG ZHIMING liu School of Electronic Engineering and Intelligentization Dongguan University of TechnologyDongguan 523808China Department of Physics University of Science and Technology of ChinaHefei 230026China MOE Key Laboratory of Laser Life Science&Guangdong Provincial Key Laboratory of Laser Life Science College of BiophotonicsSouth China Normal UniversityGuangzhou 510631China

Rapid detection of pathogens present on contaminated surfaces is crucial for food safety and public health due to the high morbidity and mortality of bacterial ***,a sensitive and efficient method for on-site identification of foodborne pathogens on anisotropic surfaces was developed by using an in situ instantaneously prepared surface-enhanced Raman scattering(SERS)*** achieve this,molybdenum-doped gallic acidderived carbon dots(MCDs)are utilized as the reductant for synthesizing Au@MCDs nanohybrids within just 3 s at ambient *** synergistic effect of the electromagnetic enhancement and charge transfer of Au@MCDs enables excellent SERS performance 10 times stronger than bare Au *** bioassay platform requires less than 5 min to complete the quantitative detection of foodborne pathogens on various microbial-contaminated interfaces with a sensitivity of 10 CFU/m *** innovative strategy breaks the long-standing limitations of SERS substrates in practical use,such as the time-consuming process,interference of residual surfactants,poor surface stability,and few application scenarios,providing a promising tool for widespread applications in biomedical research and clinical diagnostics.

关键词： temperature molybdenum consuming

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Spontaneous Infection and Periodic Evolving of Domain in a Diffusive SIS Epidemic Model

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Acta Mathematicae Applicatae Sinica 2024年第1期40卷 164-191页

作者： Qiang Wen guo-qiang Ren Bin liu School of Mathematics and Statistics Huazhong University of Science and TechnologyWuhan430074China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and TechnologyWuhan430074China

In this paper, we consider a susceptible-infective-susceptible(SIS) reaction-diffusion epidemic model with spontaneous infection and logistic source in a periodically evolving domain. Using the iterative technique,the uniform boundedness of solution is established. In addition, the spatial-temporal risk index R0(ρ) depending on the domain evolution rate ρ(t) as well as its analytical properties are discussed. The monotonicity of R0(ρ)with respect to the diffusion coefficients of the infected dI, the spontaneous infection rate η(ρ(t)y) and interval length L is investigated under appropriate conditions. Further, the existence and asymptotic behavior of periodic endemic equilibria are explored by upper and lower solution method. Finally, some numerical simulations are presented to illustrate our analytical results. Our results provide valuable information for disease control and prevention.

关键词： diffusive SIS model spontaneous infection periodically evolving domain periodic endemic equilibrium

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Model based on single-nucleotide polymorphism to discriminate aspirin resistance patients

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Stroke & Vascular Neurology 2024年第3期9卷 212-220,I0110-I0129页

作者： Qingyuan liu Shuaiwei guo Nuochuan Wang Kaiwen Wang Shaohua Mo Xiong Li Yanan Zhang Hongwei he Shuo Wang Jun Wu Department of Neurosurgery and China National Clinical Research Center for Neurological Diseases Beijing Tiantan HospitalBeijingChina Department of Blood Transfusion Beijing Tiantan HospitalBeijingChina Department of Neurosurgery Beijing Chao-Yang Hospital Capital Medical UniversityBeijingChina Beijing Neurosurgical institution Capital Medical UniversityBeijingChina

Background Aspirin is widely used for preventing ischaemic *** 20%–40%of patients have aspirin resistance(ASR),which prevents them from benefiting from aspirin *** study aimed to develop and validate a model based on single-nucleotide polymorphism(SNP)to distinguish ASR *** We included patients with spontaneous intracerebral haemorrhage and continuing antiplatelet therapy from a multicentre,prospective cohort study as the derivation ***(inhibition of arachidonic acid channelhe ASR-related *** on the result of the logistic analysis,the aspirin resistance in the Chinese population score(ASR-CN score)was established,and its accuracy was evaluated using the area under the curve(AUC).Patients receiving dual antiplatelet therapy for unruptured intracranial aneurysm embolism were prospectively included in the validation *** embolism,30-day ischaemic events,including ischaemic stroke,new or more frequent transient ischaemic attack,stent thrombosis and cerebrovascular death,were *** The derivation cohort included 212 patients(155 male patients and the median age as 59).87(41.0%)individuals were identified with *** multivariate logistic analysis demonstrated six SNPs of GP1BA,TBXA2R,PTGS2 and NOS3 as risk factors related to *** ASR-CN score integrating these SNPs performed well to discriminate ASR patients from non-ASR patients(AUC as 0.77).Based on the validation cohort of 372 patients receiving antiplatelet therapy after embolism(including 130 ASR patients),the ASR-CN score continued to distinguish ASR patients with good accuracy(AUC as 0.80).Patients with high a ASR-CN score were more likely to suffer from 30-day ischaemic events after embolism(OR,1.28;95%CI,1.10 to 1.50;p=0.002).Conclusion GP1BA,TBXA2R,PTGS2 and NOS3 were SNPs related to *** ASR-CN score is an effective tool to discriminate ASR patients,which

关键词： patients aspirin resistance

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Strategic Behavior Analysis and Modeling for Resilient Resource Allocation

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Journal of Systems Science and Information 2024年第3期12卷 340-359页

作者： Tong liu Saike he University of Chinese Academy of Sciences Beijing 101408China China People's Police University Langfang 065000China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

In an era where power systems face increased cyber threats,social media data,especially public sentiment during outages,emerges as a crucial component for devising defense *** present a methodology that integrates sentiment analysis of social media data with advanced reinforcement learning techniques to tackle uncertain load redistribution *** approach first employs VADER and Support Vector Machine(SVM)sentiment analysis on collected social media data,revealing insightful information about power outages and public *** Policy Optimization(PPO),a state-of-the-art reinforcement learning method,is then applied in the second stage to leverage these insights,manage outage uncertainty,and optimize defense *** efficacy of this methodology is demonstrated on a modified IEEE 6-bus *** results underscore our approach's effectiveness in utilizing social media data for a nuanced,targeted response to *** pioneering methodology offers a promising direction for enhancing power grid resilience against cyberattacks and natural disasters,highlighting the value of social media sentiment analysis in power systems security.

关键词： disaster management load redistribution cyberattacks reinforcement learning sentiment analysis

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Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products

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Research 2024年第2期2024卷 81-94页

作者： Zesen liu Meng guo Weimin Bao Zhongkui Li Deparment of Mechanics and Engineering Science College of EngineeringPeking UniversityBejing 0081 China Science and Technology Commission of China Aerospace Science and Technology Corporation Beijing 100048China

Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. heuristic search methods or learning-based approaches often lack the guarantee on correctness and performance. Moreover, when the collaborative tasks contain both spatial and temporal requirements, e.g., as linear temporal logic (LTL) formulas, formal methods provide a verifiable framework for task planning. However, since the planning complexity grows exponentially with the number of agents and the length of the task formula, existing studies are mostly limited to small artificial cases. To address this issue, a new planning paradigm is proposed in this work for system-wide temporal task formulas that are released online and continually. It avoids two common bottlenecks in the traditional methods, i.e., (a) the direct translation of the complete task formula to the associated B點hi automaton and (b) the synchronized product between the B點hi automaton and the transition models of all agents. Instead, an adaptive planning algorithm is proposed, which computes the product of relaxed partially ordered sets (R-posets) on-the-fly and assigns these subtasks to the agents subject to the ordering constraints. It is shown that the first valid plan can be derived with a polynomial time and memory complexity with respect to the system size and the formula length. Our method can take into account task formulas with a length of more than 400 and a fleet with more than 400 agents, while most existing methods fail at the formula length of 25 within a reasonable duration. The proposed method is validated on large fleets of service robots in both simulation and hardware experiments.

关键词： hardware service system

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Fasudil-modified macrophages reduce inflammation and regulate the immune response in experimental autoimmune encephalomyelitis

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Neural Regeneration Research 2024年第3期19卷 671-679页

作者： Chunyun liu Shangde guo Rong liu Minfang guo Qing Wang Zhi Chai Baoguo Xiao Cungen Ma Institute of Brain Science Shanxi Datong UniversityDatongShanxi ProvinceChina The Key Research Laboratory of Benefiting Qi for Acting Blood Cireulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology Shanxi University of Chinese MedicineTaiyuanShanxi ProvinceChina Institute of Neurology Huashan HospitalInstitutes of Brain Science and State Key Laboratory of Medical NeurobiologyFudan UniversityShanghaiChina

Multiple sclerosis is characterized by demyelination and neuronal loss caused by inflammatory cell activation and infiltration into the central nervous *** polarization plays an important role in the pathogenesis of experimental autoimmune encephalomyelitis,a traditional experimental model of multiple *** study investigated the effect of Fasudil on macrophages and examined the therapeutic potential of Fasudil-modified macrophages in experimental autoimmune *** found that Fasudil induced the conversion of macrophages from the pro-inflammatory M1 type to the anti-inflammatory M2 type,as shown by reduced expression of inducible nitric oxide synthase/nitric oxide,interleukin-12,and CD16/32 and increased expression of arginase-1,interleukin-10,CD14,and CD206,which was linked to inhibition of Rho kinase activity,decreased expression of toll-like receptors,nuclear factor-κB,and components of the mitogen-activated protein kinase signaling pathway,and generation of the pro-inflammatory cytokines tumor necrosis factor-α,interleukin-1β,and ***,Fasudil-modified macrophages effectively decreased the impact of experimental autoimmune encephalomyelitis,resulting in later onset of disease,lower symptom scores,less weight loss,and reduced demyelination compared with unmodified *** addition,Fasudil-modified macrophages decreased interleukin-17 expression on CD4^(+)T cells and CD16/32,inducible nitric oxide synthase,and interleukin-12 expression on F4/80^(+)macrophages,as well as increasing interleukin-10 expression on CD4^(+)T cells and arginase-1,CD206,and interleukin-10 expression on F4/80^(+)macrophages,which improved immune regulation and reduced *** findings suggest that Fasudil-modified macrophages may help treat experimental autoimmune encephalomyelitis by inducing M2 macrophage polarization and inhibiting the inflammatory response,thereby providing new insight into cell immunotherapy for m

关键词： anti-inflammatory experimental autoimmune encephalomyelitis Fasudil macrophage multiple sclerosis pro-inflammatory Rho kinase

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Electronic structure engineering of transition metal dichalcogenides for boosting hydrogen energy conversion electrocatalysts

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Chinese Physics B 2024年第9期33卷 13-28页

作者： Bing Hao Jingjing guo Peizhi liu Junjie guo Key Laboratory of Interface Science and Engineering in Advanced Materials Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China

Electrocatalytic water splitting for hydrogen production is an appealing strategy to reduce carbon emissions and generate renewable *** promising process,however,is limited by its sluggish reaction kinetics and high-cost *** two-dimensional(2D)transition metal dichalcogenides(TMDCs)have presented great potential as electrocatalytic materials due to their tunable bandgaps,abundant defective active sites,and good chemical ***,phase engineering,defect engineering and interface engineering have been adopted to manipulate the electronic structure of TMDCs for boosting their exceptional catalytic ***,it is essential to clarify the local structure of catalytically active sites of TMDCs and their structural evolution in catalytic reactions using atomic resolution electron microscopy and the booming in situ technologies,which is beneficial for exploring the underlying reaction *** this review,the growth regulation,characterization,particularly atomic configurations of active sites in TMDCs are *** significant role of electron microscopy in the understanding of the growth mechanism,the controlled synthesis and functional optimization of 2D TMDCs are *** review will shed light on the design and synthesis of novel electrocatalysts with high performance,as well as prompt the application of advanced electron microscopy in the research of materials science.

关键词： TMDCs STEM hydrogen energy conversion active site identification

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