For decades,Xu has been committed to fulfilling the duty and mission of a scientist and educator—diving into the laws of nature,caring deeply for the nation,and earnestly cultivating younger generations.
Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic effici...Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic efficiency.In this paper,aiming at the uncertainty of distributed wind power and photovoltaic output,considering the coupling relationship between power,carbon trading,and green cardmarket,the optimal operationmodel and bidding scheme of VPP in spot market,carbon trading market,and green card market are established.On this basis,through the Shapley value and independent risk contribution theory in cooperative game theory,the quantitative analysis of the total income and risk contribution of various distributed resources in the virtual power plant is realized.Moreover,the scheduling strategies of virtual power plants under different risk preferences are systematically compared,and the feasibility and accuracy of the combination of Shapley value and independent risk contribution theory in ensuring fair income distribution and reasonable risk assessment are emphasized.A comprehensive solution for virtual power plants in the multi-market environment is constructed,which integrates operation strategy,income distribution mechanism,and risk control system into a unified analysis framework.Through the simulation of multi-scenario examples,the CPLEXsolver inMATLAB software is used to optimize themodel.The proposed joint optimization scheme can increase the profit of VPP participating in carbon trading and green certificate market by 29%.The total revenue of distributed resources managed by VPP is 9%higher than that of individual participation.展开更多
The Qinghai-Tibet Plateau(QTP)is the highest and one of the most extensive plateaus in the world.Investigating naturalized non-native plant species composition,phylogenetic relationships among naturalized plant specie...The Qinghai-Tibet Plateau(QTP)is the highest and one of the most extensive plateaus in the world.Investigating naturalized non-native plant species composition,phylogenetic relationships among naturalized plant species,and phylogenetic relationships between native and naturalized plant species on the plateau is of great importance.Here,we analyze a comprehensive dataset including all species of native and naturalized vascular plants known to occur in the core part of the QTP.We use net relatedness index(NRI)and nearest taxon index(NTI),which reflect deep and shallow evolutionary histories,respectively,to quantify phylogenetic relatedness among angiosperm species.The QTP included in this study(1,448,815 km^(2))has 9086 and 314 species of native and naturalized non-native vascular plants,respectively.We find that the naturalized angiosperm species are phylogenetically clustered with respect to the species pool including all native and naturalized angiosperm species on the QTP included in this study,regardless of whether NRI or NTI is used.For the eight regions within the QTP included in this study,NRI and NTI of naturalized angiosperms are positive in seven regions with respect to their respective regional species pools,reflecting phylogenetic clustering.Thus,naturalized angiosperm species are a phylogenetically clustered subset of all angiosperm species on the QTP,regardless of whether the studied plateau as a whole or its constituent regions are considered.展开更多
Conventional agrochemical plant biostimulants have been used to increase crop yield and stress resistance,andthis strategy continues to be integral to today's farming.While effective,the large-scale implantations ...Conventional agrochemical plant biostimulants have been used to increase crop yield and stress resistance,andthis strategy continues to be integral to today's farming.While effective,the large-scale implantations of theseproducts are not without environmental,ecological,and cost concerns and the associated climate-change challenges.To alleviate this long-standing pressure on agriculture,designing and developing more biocompatible andsustainable plant stimulants are among the primary focuses of agricultural management.Over the recent decades,the field has witnessed significant progress in emerging naturally derived or nature-inspired nano-biostimulantswith large-active-surface areas,including bio-compounds,biopolymers,and nanocarbons.However,the extraction/preparation of these products may apply additional costs or require specific equipment.More recently,thefield's attention has shifted to the sustainable application of chemical-additive-free biostimulants towards practicalapplications in nano-agriculture.Herein,we rationally designed and reported the first evidence and elucidationon biostimulant impacts of plant-self-derived nano-extracts from donor Arabidopsis thaliana as a model forinducing mirror biostimulant activities in conspecific host seeds,seedlings,and plants.Moreover,we assessed theeffect of donor plants'age on short,mid-,and long-term biocompatibility,growth,and development/maturationof the recipient plants for up to around 30 days.As a proof-of-concept,we found these autologous bio-extractscould effectively promote seed sprouting,seedling germination,and the development of soil-drenched plantsof the same types.Our transmission-electron microscopy characterization of root/shoot pieces shows the presenceof multiple phyto-compounds,including microtubules/actin filaments,cell vacuoles,Golgi stacks/endoplasmicreticulum,cell wall polysaccharide-based cellulose fibers,and organic amorphous nanoparticles and clusters ofcarbon quantum dots in the structure of these extracts.This personalized plant stimulation may induce furthergrowth/defense-related mechanisms,setting new paradigms toward reducing the agrochemical inputs.展开更多
Texas is the largest state by area in the US after Alaska,and one of the top states in the production and consumption of electricity with many coal-fired plants.Coal-fired power plants emit greater than 70% of polluta...Texas is the largest state by area in the US after Alaska,and one of the top states in the production and consumption of electricity with many coal-fired plants.Coal-fired power plants emit greater than 70% of pollutants in the energy sector.When coal is burned to produce electricity,nitrogen oxides(NO_(x))are released into the air,one of the main pollutants that threaten human health and lead to a large number of premature deaths.The key to effective air quality management is the strict compliance of all plants with emission standards.However,not all Texas coal plants have the environmental equipment to lower pollutant emissions.Nitrogen dioxide(NO2)observations from the TROPOspheric Monitoring Instrument(TROPOMI)were used to evaluate the emissions for Texas power plants.Data from both the Emissions and Generation Resource Integrated Database(EGRID)and the Emissions Database for Global Atmospheric Research(EDGAR)were used to examine emissions.It was found that NOx emissions for Texas power plants range from 1.53 kt/year to 10.99 kt/year,with the Martin Lake,Limestone and Fayette Power Project stations being the top emitters.WA Parish and Martin Lake stations have the strongest NOx fluxes,with both exhibiting significant seasonal variability.Comparisons of bottom-up inventories for EDGAR and EGRID show a high correlation(r=0.956)and a low root mean square error(0.766).A more reasonable control policy would lead to much reduced NOx emissions.展开更多
The effects of climatic warming on phyllosphere microbial communities remain uncertain.In this study,the effects of long-term(>10 years)experimental warming on phyllosphere epiphytic bacterial and fungal communitie...The effects of climatic warming on phyllosphere microbial communities remain uncertain.In this study,the effects of long-term(>10 years)experimental warming on phyllosphere epiphytic bacterial and fungal communities of Carex alrofusca,Kobresia pygmaea,Potentilla bifurca and Stipa capillacea were examined in the northern Xizang.Overall,warming increased bacterialα-diversity,but reduced fungalα-diversity across the four host plants.Warming altered the bacterial and fungal community compositions mainly by increasing Actinobacteria,Firmicutes and pathotrophsaprotroph fungi,and reducing Basidiomycota and symbiotroph fungi across the four host plants.Warming increased the relative effect of the‘drift&others’process in the bacterial community,but reduced the relative effect of the‘dispersal limitation’process in the bacterial community and the relative effect of the‘homogeneous selection’process in the fungal community across the four host plants.The overall warming effects on the bacterial and fungal communities may be due to overall warming effects on temperature,leaf morphology structure and physicochemical properties,ecological processes of community assembly and topological parameters of species co-occurrence networks of bacteria and fungi.Warming altered the bacterial species co-occurrence network mainly by increasing the vertex,clustering coefficient and heterogeneity,while reducing the average path length and network diameter across host species.Warming altered the fungal species co-occurrence network mainly by increasing the network diameter and reducing the vertex across host species.Warming effects on bacterial and fungal communities varied among host plants,which may be due to the diverse responses to warming of plant height,leaf malondialdehyde,ecological processes of community assembly and topological parameters of species co-occurrence network.Therefore,warming can alter phyllosphere epiphytic bacterial and fungal communities of alpine plants.Such changes varied among host plants and may cause adverse effects on the host plants.展开更多
Most data centers currently tap into existing power grids to draw the immense amount of electricity they need to operate.But many of the data centers that Google(Mountain View,CA,USA)plans to open in the next few year...Most data centers currently tap into existing power grids to draw the immense amount of electricity they need to operate.But many of the data centers that Google(Mountain View,CA,USA)plans to open in the next few years will boast their own power plants,an arrangement known as colocation[1].Under an agreement announced in December 2024,the company will site data centers in industrial parks where its partner Intersect Power of Houston,TX,USA,has installed clean power facilities[1,2].The first of these complexes is scheduled to come online in 2026[1].展开更多
Background:Vitamin D deficiency is a global health concern,and exploring natural sources,particularly traditional medicinal plants,may offer a novel approach to addressing this widespread issue.This study investigates...Background:Vitamin D deficiency is a global health concern,and exploring natural sources,particularly traditional medicinal plants,may offer a novel approach to addressing this widespread issue.This study investigates the prevalence of vitamin D_(2) and D_(3) in indigenous medicinal plants,such as Solanum torvum,Solanum nigrum,Solanum xanthocarpum,Psoralea cordifolia,Cissus quadrangularis,and the resin Commiphora mukul,and Laccifer lacca.Methods:Vitamin D_(2) and D_(3) compounds were detected and quantified using advanced reversed-phase high-performance liquid chromatography.A refined technique for sample preparation was employed,which involved an overnight cold saponification process.This method was used to enhance the extraction of vitamin D molecules.The accuracy and reliability of the HPLC method were validated using liquid chromatography-mass spectrometry(LC-MS)/MS analysis.Results:The investigation revealed the remarkable presence of vitamin D_(2) and D_(3) in the chosen plant specimens.Significant amounts of vitamin D_(2) were found in Laccifer lacca and Psoralea cordifolia,however,vitamin D_(3) was only detected in Cissus quadrangularis and Solanum xanthocarpum.The revised approaches exhibited significant precision and accuracy,hence enhancing the reliability of the findings.Conclusion:The identification of vitamin D_(2) and D_(3) in these plants underscores their historical therapeutic significance for supporting bone health and indicates their potential as beneficial natural sources of vitamin D.This research advances understanding of the phytochemical features of these plants,facilitating future development of nutraceuticals and therapeutic applications.展开更多
Anthropogenic disturbances are causing significant impacts on plant distribution worldwide,and many of these effects are driven by changes in the recruitment patterns of plant species.Global warming and land-use chang...Anthropogenic disturbances are causing significant impacts on plant distribution worldwide,and many of these effects are driven by changes in the recruitment patterns of plant species.Global warming and land-use change are two major disturbances leading to changes in germination strategies by changing both soil temperature regimes and light quality reaching the seeds due to soil disturbance.Investigating the range,overlap,and redundancy of niche germination of co-occurring plant species allows us to understand whether endemic species are threatened either by native non-endemic or by alien species,especially in an ecosystem of restricted distribution such as the campo rupestre.Employing a systematic review,this study aimed to evaluate the effect of temperature increase and seed burial on the germination of endemic and non-endemic species in the campo rupestre in Brazil.We performed a metaanalysis using increased temperature and darkness as proxies for the impact of disturbance on germination patterns.In this context,we hypothesized that:increased temperature and darkness negatively influence the germination of native species and positively influence the germination of alien species in the campo rupestre.Specifically,we expect the negative effect to be more pronounced in endemic species than in native non-endemic species.Moreover,we intend to describe the role of seed size in the germination of native and alien species from campo rupestre in the context of increased temperature and darkness.Our analysis showed that increased temperature influenced the germination of alien species by ca.55%,while it did not influence the germination of endemic or native non-endemic species.Furthermore,the germination of alien species under higher temperatures was promoted by increasing seed size.Darkness negatively influenced seed germination of native species,independent of their distribution.Moreover,under darkness conditions,the germination of endemic seeds decreased with seed size.Through their direct effects on germination strategies,we conclude that warming temperatures and land-use change can lead to a long-term displacement of endemic species by native non-endemic and alien species in campo rupestre,thus compromising ecosystem services and conservation of these fragile physiognomies in the near future.展开更多
China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing...China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.展开更多
Cold stress widely impairs the quality and yield of tea plants. The miR164 family and its target NAC transcription factor have been identified as crucial regulators in response to cold stress. However, the role of miR...Cold stress widely impairs the quality and yield of tea plants. The miR164 family and its target NAC transcription factor have been identified as crucial regulators in response to cold stress. However, the role of miR164 and CsNAC in cold tolerance in tea plants was little understood. In our study, the expression level of CsMIR164a was significantly reduced under cold stress and significantly and negatively correlated with that of CsNAC1.5' RACE and GUS histochemical assays showed that CsNAC1 was cleaved by CsMIR164a. The CsMIR164a-silenced tea leaves promoted the expression levels of CsNAC1 and CsCBFs and exhibited greater cold tolerance. Also, the overexpression of CsNAC1 enhanced cold tolerance in transgenic Arabidopsis plants by promoting the expression levels of AtCBFs. In contrast, the heterologous overexpression of CsMIR164a in Arabidopsis decreased the expression level of AtNACs and AtCBFs and thus impaired cold tolerance. Additionally, silencing of CsNAC1 impaired the expression levels of CsCBFs, resulting in greater cold sensitivity in tea leaves. Our present study demonstrated that the miR164a-CsNAC1 module may play a negative role in the cold tolerance of tea plants via the CsCBF-dependent pathway.展开更多
In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly effi...In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly efficacious approach to enhance the teaching level of experimental courses in medicinal botany.The implementation of a digital microscope mutual system in experimental teaching not only enhances students practical skills in laboratory operations but also increases classroom efficiency.Furthermore,it supports personalized development among students while fostering innovative thinking,independent learning capabilities,and analysis and problem-solving skills.Additionally,this approach contributes to the enhancement of students scientific literacy.展开更多
Typhoid fever remains a major global health challenge,particularly in regions with limited access to clean water and sanitation.The emergence of multidrug-resistant and extensively drug-resistant strains of Salmonella...Typhoid fever remains a major global health challenge,particularly in regions with limited access to clean water and sanitation.The emergence of multidrug-resistant and extensively drug-resistant strains of Salmonella enterica serovar Typhi highlights the urgent need for alternative treatment strategies.Medicinal plants represent a promising avenue for addressing this crisis,as their bioactive compounds exhibit potent antibacterial properties.According to the World Health Organization,over 20,000 medicinal plant species have been identified as valuable resources for drug discovery,with more than 1,340 demonstrating antimicrobial activity and over 30,000 antimicrobial compounds isolated.Through an extensive review,key phytochemicals with anti-typhoid properties were identified,along with their mechanisms of action and supporting evidence from in vitro and in vivo studies.This review compiles data on plants with demonstrated anti-typhoid activity,highlights challenges such as standardization,regulatory frameworks,and integration into modern healthcare,and explores the role of omics technologies in advancing the discovery of novel plant-based antimicrobial agents.By discussing potential medicinal plant targets and intervention strategies,this work lays the groundwork for future research into plant-derived anti-infective therapies and contributes to the global effort to combat the growing threat of typhoid fever,particularly in resource-limited settings.展开更多
Originally extracted from willow bark,salicylic acid(SA)provided the structural basis for the synthesis of acetylsalicylic acid(aspirin)in 1897,a milestone that exemplifies the far-reaching biomedical relevance of pla...Originally extracted from willow bark,salicylic acid(SA)provided the structural basis for the synthesis of acetylsalicylic acid(aspirin)in 1897,a milestone that exemplifies the far-reaching biomedical relevance of plant-derived metabolites(Desborough and Keeling,2017).In plants,SA functions as a pleiotropic phytohormone that orchestrates immune reprogramming,serving as a central mediator of both local defense responses and systemic acquired resistance(SAR).展开更多
Based on the investigation of colored-leaf plant resources in Hefei City,analytic hierarchy process(AHP)was used to construct a comprehensive evaluation system for colored-leaf plants in Hefei City.This system is comp...Based on the investigation of colored-leaf plant resources in Hefei City,analytic hierarchy process(AHP)was used to construct a comprehensive evaluation system for colored-leaf plants in Hefei City.This system is composed of three layers:leaf ornamental value,ecological adaptability,and other ornamental values,including 12 evaluation indicators.The landscape value of the 20 selected species of colored-leaf trees were comprehensively evaluated.The evaluation results show that 9 kinds of colored-leaf trees such as Ginkgo biloba and Tiadica sebifera are excellent(grade I,comprehensive evaluation value>3.5);7 species of colored-leaf trees such as Sophora japonica and Albizia juibissin are good(grade I 2.5≤comprehensive evaluation value≤3.5);4 types of colored-leaf trees such as Celtis sinensis and Pistacia chinensis are general(grade,comprehensive evaluation value<2.5).These results can provide theoretical references for the application of colored-leaf trees in uban green spaces of Hefei City.展开更多
Virtual Power Plants(VPPs)are integral to modern energy systems,providing stability and reliability in the face of the inherent complexities and fluctuations of solar power data.Traditional anomaly detection methodolo...Virtual Power Plants(VPPs)are integral to modern energy systems,providing stability and reliability in the face of the inherent complexities and fluctuations of solar power data.Traditional anomaly detection methodologies often need to adequately handle these fluctuations from solar radiation and ambient temperature variations.We introduce the Memory-Enhanced Autoencoder with Adversarial Training(MemAAE)model to overcome these limitations,designed explicitly for robust anomaly detection in VPP environments.The MemAAE model integrates three principal components:an LSTM-based autoencoder that effectively captures temporal dynamics to distinguish between normal and anomalous behaviors,an adversarial training module that enhances system resilience across diverse operational scenarios,and a prediction module that aids the autoencoder during the reconstruction process,thereby facilitating precise anomaly identification.Furthermore,MemAAE features a memory mechanism that stores critical pattern information,mitigating overfitting,alongside a dynamic threshold adjustment mechanism that adapts detection thresholds in response to evolving operational conditions.Our empirical evaluation of the MemAAE model using real-world solar power data shows that the model outperforms other comparative models on both datasets.On the Sopan-Finder dataset,MemAAE has an accuracy of 99.17%and an F1-score of 95.79%,while on the Sunalab Faro PV 2017 dataset,it has an accuracy of 97.67%and an F1-score of 93.27%.Significant performance advantages have been achieved on both datasets.These results show that MemAAE model is an effective method for real-time anomaly detection in virtual power plants(VPPs),which can enhance robustness and adaptability to inherent variables in solar power generation.展开更多
This research was carried out to identify the most effective plant species for air purification based on environmental factors. The existence of plants beside roadways can be considered a more efficient approach to im...This research was carried out to identify the most effective plant species for air purification based on environmental factors. The existence of plants beside roadways can be considered a more efficient approach to improving air quality and minimizing pollution exposure. The samples for this research were collected from various sites across the streets of Jeddah governorate. The primary sources of air pollution in the research area are vehicle traffic and emissions from cars. Eight species were gathered from various streets in Jeddah governorate, namely, Azadirachta indica, Senna sulfurea, Ziziphus spina-christi, Cordia sebestena, Tecoma stans, Bougainvillea spectabilis, Conocarpus lancifolius, and Ixora coccinea. The leaves of the studied plants were analyzed for secondary compounds using Gas chromatography-mass spectrometry (GC-MS) techniques. Gas-chromatographic analyses revealed that bis (2-ethylhexyl) phthalate was found in every plant. Bis-(2-ethylhexyl) phthalate, a widespread environmental pollutant. Moreover, Cordia sebestena was the sole plant that contained Phenol, 2,2’-methylenebis [6-(1,1-dimethylethyl)-4-methyl] which is part of the phenols category. Environmental conditions can affect the production of secondary metabolites. By tracking the concentrations of these substances, researchers can evaluate the well-being of ecosystems and identify pollution.展开更多
To meet the demand for intelligent and unmanned development in thermal power plants,an intelligent inspection system has been designed.This system efficiently performs inspection tasks and monitors the operational par...To meet the demand for intelligent and unmanned development in thermal power plants,an intelligent inspection system has been designed.This system efficiently performs inspection tasks and monitors the operational parameters of key equipment in real-time.The collected data is uploaded to the monitoring center,allowing operation and maintenance personnel to access equipment information promptly.Data analysis is used to provide fault warning and diagnosis for critical equipment.The system employs the Pure Pursuit algorithm,which effectively avoids obstacles and ensures path continuity and stability.Simulation results show that the Pure Pursuit algorithm significantly improves the navigation accuracy and task efficiency of the inspection robot,ensuring the reliability of thermal power plant inspections.展开更多
文摘For decades,Xu has been committed to fulfilling the duty and mission of a scientist and educator—diving into the laws of nature,caring deeply for the nation,and earnestly cultivating younger generations.
基金funded by the Department of Education of Liaoning Province and was supported by the Basic Scientific Research Project of the Department of Education of Liaoning Province(Grant No.LJ222411632051)and(Grant No.LJKQZ2021085)Natural Science Foundation Project of Liaoning Province(Grant No.2022-BS-222).
文摘Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic efficiency.In this paper,aiming at the uncertainty of distributed wind power and photovoltaic output,considering the coupling relationship between power,carbon trading,and green cardmarket,the optimal operationmodel and bidding scheme of VPP in spot market,carbon trading market,and green card market are established.On this basis,through the Shapley value and independent risk contribution theory in cooperative game theory,the quantitative analysis of the total income and risk contribution of various distributed resources in the virtual power plant is realized.Moreover,the scheduling strategies of virtual power plants under different risk preferences are systematically compared,and the feasibility and accuracy of the combination of Shapley value and independent risk contribution theory in ensuring fair income distribution and reasonable risk assessment are emphasized.A comprehensive solution for virtual power plants in the multi-market environment is constructed,which integrates operation strategy,income distribution mechanism,and risk control system into a unified analysis framework.Through the simulation of multi-scenario examples,the CPLEXsolver inMATLAB software is used to optimize themodel.The proposed joint optimization scheme can increase the profit of VPP participating in carbon trading and green certificate market by 29%.The total revenue of distributed resources managed by VPP is 9%higher than that of individual participation.
基金supported by grants from the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(2019QZKK0502)the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20050203)+4 种基金the National Natural Science Foundation of China-Yunnan joint fund to support key projects(U1802232)the Major Program for Basic Research Project of Yunnan Province(202101BC070002)the Yunnan Young&Elite Talents Project(YNWR-QNBJ-2019-033)the Ten Thousand Talents Program of Yunnan Province(202005AB160005)the Chinese Academy of Sciences“Light of West China”Program.
文摘The Qinghai-Tibet Plateau(QTP)is the highest and one of the most extensive plateaus in the world.Investigating naturalized non-native plant species composition,phylogenetic relationships among naturalized plant species,and phylogenetic relationships between native and naturalized plant species on the plateau is of great importance.Here,we analyze a comprehensive dataset including all species of native and naturalized vascular plants known to occur in the core part of the QTP.We use net relatedness index(NRI)and nearest taxon index(NTI),which reflect deep and shallow evolutionary histories,respectively,to quantify phylogenetic relatedness among angiosperm species.The QTP included in this study(1,448,815 km^(2))has 9086 and 314 species of native and naturalized non-native vascular plants,respectively.We find that the naturalized angiosperm species are phylogenetically clustered with respect to the species pool including all native and naturalized angiosperm species on the QTP included in this study,regardless of whether NRI or NTI is used.For the eight regions within the QTP included in this study,NRI and NTI of naturalized angiosperms are positive in seven regions with respect to their respective regional species pools,reflecting phylogenetic clustering.Thus,naturalized angiosperm species are a phylogenetically clustered subset of all angiosperm species on the QTP,regardless of whether the studied plateau as a whole or its constituent regions are considered.
基金Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)grant number 525793193Prof.Stefan Eimer and Ms.Marion Basoglu at Goethe University for their assistance in TEM characterization+1 种基金Mr.Holger Schranz for his help in plant cultivation and maintenanceProf.Bruno M.Moerschbacher from the Institute of Plant Biology and Biotechnology at the Münster University。
文摘Conventional agrochemical plant biostimulants have been used to increase crop yield and stress resistance,andthis strategy continues to be integral to today's farming.While effective,the large-scale implantations of theseproducts are not without environmental,ecological,and cost concerns and the associated climate-change challenges.To alleviate this long-standing pressure on agriculture,designing and developing more biocompatible andsustainable plant stimulants are among the primary focuses of agricultural management.Over the recent decades,the field has witnessed significant progress in emerging naturally derived or nature-inspired nano-biostimulantswith large-active-surface areas,including bio-compounds,biopolymers,and nanocarbons.However,the extraction/preparation of these products may apply additional costs or require specific equipment.More recently,thefield's attention has shifted to the sustainable application of chemical-additive-free biostimulants towards practicalapplications in nano-agriculture.Herein,we rationally designed and reported the first evidence and elucidationon biostimulant impacts of plant-self-derived nano-extracts from donor Arabidopsis thaliana as a model forinducing mirror biostimulant activities in conspecific host seeds,seedlings,and plants.Moreover,we assessed theeffect of donor plants'age on short,mid-,and long-term biocompatibility,growth,and development/maturationof the recipient plants for up to around 30 days.As a proof-of-concept,we found these autologous bio-extractscould effectively promote seed sprouting,seedling germination,and the development of soil-drenched plantsof the same types.Our transmission-electron microscopy characterization of root/shoot pieces shows the presenceof multiple phyto-compounds,including microtubules/actin filaments,cell vacuoles,Golgi stacks/endoplasmicreticulum,cell wall polysaccharide-based cellulose fibers,and organic amorphous nanoparticles and clusters ofcarbon quantum dots in the structure of these extracts.This personalized plant stimulation may induce furthergrowth/defense-related mechanisms,setting new paradigms toward reducing the agrochemical inputs.
基金This work was supported by the Basic Research Top Talent Plan of Lanzhou Jiaotong University(2022JC05).
文摘Texas is the largest state by area in the US after Alaska,and one of the top states in the production and consumption of electricity with many coal-fired plants.Coal-fired power plants emit greater than 70% of pollutants in the energy sector.When coal is burned to produce electricity,nitrogen oxides(NO_(x))are released into the air,one of the main pollutants that threaten human health and lead to a large number of premature deaths.The key to effective air quality management is the strict compliance of all plants with emission standards.However,not all Texas coal plants have the environmental equipment to lower pollutant emissions.Nitrogen dioxide(NO2)observations from the TROPOspheric Monitoring Instrument(TROPOMI)were used to evaluate the emissions for Texas power plants.Data from both the Emissions and Generation Resource Integrated Database(EGRID)and the Emissions Database for Global Atmospheric Research(EDGAR)were used to examine emissions.It was found that NOx emissions for Texas power plants range from 1.53 kt/year to 10.99 kt/year,with the Martin Lake,Limestone and Fayette Power Project stations being the top emitters.WA Parish and Martin Lake stations have the strongest NOx fluxes,with both exhibiting significant seasonal variability.Comparisons of bottom-up inventories for EDGAR and EGRID show a high correlation(r=0.956)and a low root mean square error(0.766).A more reasonable control policy would lead to much reduced NOx emissions.
基金funded by the Pilot Project of Chinese Academy of Sciences(XDA26050501)the Youth Innovation Promotion Association of Chinese Academy of Sciences(2020054)+3 种基金the National Natural Science Foundation of China(31600432)the Lhasa Science and Technology Plan Project,China(LSKJ202422)the Tibet Autonomous Region Science and Technology Project,China(XZ202401JD0029)the Construction of Zhongba County Fixed Observation and Experiment Station of First Support System for Agriculture Green Development,China。
文摘The effects of climatic warming on phyllosphere microbial communities remain uncertain.In this study,the effects of long-term(>10 years)experimental warming on phyllosphere epiphytic bacterial and fungal communities of Carex alrofusca,Kobresia pygmaea,Potentilla bifurca and Stipa capillacea were examined in the northern Xizang.Overall,warming increased bacterialα-diversity,but reduced fungalα-diversity across the four host plants.Warming altered the bacterial and fungal community compositions mainly by increasing Actinobacteria,Firmicutes and pathotrophsaprotroph fungi,and reducing Basidiomycota and symbiotroph fungi across the four host plants.Warming increased the relative effect of the‘drift&others’process in the bacterial community,but reduced the relative effect of the‘dispersal limitation’process in the bacterial community and the relative effect of the‘homogeneous selection’process in the fungal community across the four host plants.The overall warming effects on the bacterial and fungal communities may be due to overall warming effects on temperature,leaf morphology structure and physicochemical properties,ecological processes of community assembly and topological parameters of species co-occurrence networks of bacteria and fungi.Warming altered the bacterial species co-occurrence network mainly by increasing the vertex,clustering coefficient and heterogeneity,while reducing the average path length and network diameter across host species.Warming altered the fungal species co-occurrence network mainly by increasing the network diameter and reducing the vertex across host species.Warming effects on bacterial and fungal communities varied among host plants,which may be due to the diverse responses to warming of plant height,leaf malondialdehyde,ecological processes of community assembly and topological parameters of species co-occurrence network.Therefore,warming can alter phyllosphere epiphytic bacterial and fungal communities of alpine plants.Such changes varied among host plants and may cause adverse effects on the host plants.
文摘Most data centers currently tap into existing power grids to draw the immense amount of electricity they need to operate.But many of the data centers that Google(Mountain View,CA,USA)plans to open in the next few years will boast their own power plants,an arrangement known as colocation[1].Under an agreement announced in December 2024,the company will site data centers in industrial parks where its partner Intersect Power of Houston,TX,USA,has installed clean power facilities[1,2].The first of these complexes is scheduled to come online in 2026[1].
文摘Background:Vitamin D deficiency is a global health concern,and exploring natural sources,particularly traditional medicinal plants,may offer a novel approach to addressing this widespread issue.This study investigates the prevalence of vitamin D_(2) and D_(3) in indigenous medicinal plants,such as Solanum torvum,Solanum nigrum,Solanum xanthocarpum,Psoralea cordifolia,Cissus quadrangularis,and the resin Commiphora mukul,and Laccifer lacca.Methods:Vitamin D_(2) and D_(3) compounds were detected and quantified using advanced reversed-phase high-performance liquid chromatography.A refined technique for sample preparation was employed,which involved an overnight cold saponification process.This method was used to enhance the extraction of vitamin D molecules.The accuracy and reliability of the HPLC method were validated using liquid chromatography-mass spectrometry(LC-MS)/MS analysis.Results:The investigation revealed the remarkable presence of vitamin D_(2) and D_(3) in the chosen plant specimens.Significant amounts of vitamin D_(2) were found in Laccifer lacca and Psoralea cordifolia,however,vitamin D_(3) was only detected in Cissus quadrangularis and Solanum xanthocarpum.The revised approaches exhibited significant precision and accuracy,hence enhancing the reliability of the findings.Conclusion:The identification of vitamin D_(2) and D_(3) in these plants underscores their historical therapeutic significance for supporting bone health and indicates their potential as beneficial natural sources of vitamin D.This research advances understanding of the phytochemical features of these plants,facilitating future development of nutraceuticals and therapeutic applications.
基金financial support from CNPq/Peld CRSC,Fapemig,CAPES,Anglo American,and Vale.
文摘Anthropogenic disturbances are causing significant impacts on plant distribution worldwide,and many of these effects are driven by changes in the recruitment patterns of plant species.Global warming and land-use change are two major disturbances leading to changes in germination strategies by changing both soil temperature regimes and light quality reaching the seeds due to soil disturbance.Investigating the range,overlap,and redundancy of niche germination of co-occurring plant species allows us to understand whether endemic species are threatened either by native non-endemic or by alien species,especially in an ecosystem of restricted distribution such as the campo rupestre.Employing a systematic review,this study aimed to evaluate the effect of temperature increase and seed burial on the germination of endemic and non-endemic species in the campo rupestre in Brazil.We performed a metaanalysis using increased temperature and darkness as proxies for the impact of disturbance on germination patterns.In this context,we hypothesized that:increased temperature and darkness negatively influence the germination of native species and positively influence the germination of alien species in the campo rupestre.Specifically,we expect the negative effect to be more pronounced in endemic species than in native non-endemic species.Moreover,we intend to describe the role of seed size in the germination of native and alien species from campo rupestre in the context of increased temperature and darkness.Our analysis showed that increased temperature influenced the germination of alien species by ca.55%,while it did not influence the germination of endemic or native non-endemic species.Furthermore,the germination of alien species under higher temperatures was promoted by increasing seed size.Darkness negatively influenced seed germination of native species,independent of their distribution.Moreover,under darkness conditions,the germination of endemic seeds decreased with seed size.Through their direct effects on germination strategies,we conclude that warming temperatures and land-use change can lead to a long-term displacement of endemic species by native non-endemic and alien species in campo rupestre,thus compromising ecosystem services and conservation of these fragile physiognomies in the near future.
基金supported by the National Natural Science Foundation of China(Grant No.42330205)the Open Fund of State Key Labora-tory of Remote Sensing Science and Beijing Engineering Research Center for Global Land Remote Sensing Products(Grant No.OF202206).
文摘China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.
基金supported by the Anhui University Collaborative Innovation Project, China (GXXT-2020080)the Scientific Research Project of Anhui Provincial Colleges and Universities, China (2023AH040136)。
文摘Cold stress widely impairs the quality and yield of tea plants. The miR164 family and its target NAC transcription factor have been identified as crucial regulators in response to cold stress. However, the role of miR164 and CsNAC in cold tolerance in tea plants was little understood. In our study, the expression level of CsMIR164a was significantly reduced under cold stress and significantly and negatively correlated with that of CsNAC1.5' RACE and GUS histochemical assays showed that CsNAC1 was cleaved by CsMIR164a. The CsMIR164a-silenced tea leaves promoted the expression levels of CsNAC1 and CsCBFs and exhibited greater cold tolerance. Also, the overexpression of CsNAC1 enhanced cold tolerance in transgenic Arabidopsis plants by promoting the expression levels of AtCBFs. In contrast, the heterologous overexpression of CsMIR164a in Arabidopsis decreased the expression level of AtNACs and AtCBFs and thus impaired cold tolerance. Additionally, silencing of CsNAC1 impaired the expression levels of CsCBFs, resulting in greater cold sensitivity in tea leaves. Our present study demonstrated that the miR164a-CsNAC1 module may play a negative role in the cold tolerance of tea plants via the CsCBF-dependent pathway.
基金Supported by Major Project of School-level Teaching Reform and Research of Guangxi University of Chinese Medicine(2022A006)。
文摘In comparison with conventional experimental teaching methods,the implementation of the Motic digital microscope mutual system in the experimental teaching of medicinal botany has been demonstrated to be a highly efficacious approach to enhance the teaching level of experimental courses in medicinal botany.The implementation of a digital microscope mutual system in experimental teaching not only enhances students practical skills in laboratory operations but also increases classroom efficiency.Furthermore,it supports personalized development among students while fostering innovative thinking,independent learning capabilities,and analysis and problem-solving skills.Additionally,this approach contributes to the enhancement of students scientific literacy.
文摘Typhoid fever remains a major global health challenge,particularly in regions with limited access to clean water and sanitation.The emergence of multidrug-resistant and extensively drug-resistant strains of Salmonella enterica serovar Typhi highlights the urgent need for alternative treatment strategies.Medicinal plants represent a promising avenue for addressing this crisis,as their bioactive compounds exhibit potent antibacterial properties.According to the World Health Organization,over 20,000 medicinal plant species have been identified as valuable resources for drug discovery,with more than 1,340 demonstrating antimicrobial activity and over 30,000 antimicrobial compounds isolated.Through an extensive review,key phytochemicals with anti-typhoid properties were identified,along with their mechanisms of action and supporting evidence from in vitro and in vivo studies.This review compiles data on plants with demonstrated anti-typhoid activity,highlights challenges such as standardization,regulatory frameworks,and integration into modern healthcare,and explores the role of omics technologies in advancing the discovery of novel plant-based antimicrobial agents.By discussing potential medicinal plant targets and intervention strategies,this work lays the groundwork for future research into plant-derived anti-infective therapies and contributes to the global effort to combat the growing threat of typhoid fever,particularly in resource-limited settings.
基金supported by grant from the National Natural Science Foundation of China(32330056)。
文摘Originally extracted from willow bark,salicylic acid(SA)provided the structural basis for the synthesis of acetylsalicylic acid(aspirin)in 1897,a milestone that exemplifies the far-reaching biomedical relevance of plant-derived metabolites(Desborough and Keeling,2017).In plants,SA functions as a pleiotropic phytohormone that orchestrates immune reprogramming,serving as a central mediator of both local defense responses and systemic acquired resistance(SAR).
基金Sponsored by the Provincial Innovation Training Project for College Students of Anhui Xinhua University in 2023(S202312216044)Key Research Project of Natural Science in Universities of Anhui Province(2023AH051816)General Teaching Research Project of Anhui Province(2022jyxm665).
文摘Based on the investigation of colored-leaf plant resources in Hefei City,analytic hierarchy process(AHP)was used to construct a comprehensive evaluation system for colored-leaf plants in Hefei City.This system is composed of three layers:leaf ornamental value,ecological adaptability,and other ornamental values,including 12 evaluation indicators.The landscape value of the 20 selected species of colored-leaf trees were comprehensively evaluated.The evaluation results show that 9 kinds of colored-leaf trees such as Ginkgo biloba and Tiadica sebifera are excellent(grade I,comprehensive evaluation value>3.5);7 species of colored-leaf trees such as Sophora japonica and Albizia juibissin are good(grade I 2.5≤comprehensive evaluation value≤3.5);4 types of colored-leaf trees such as Celtis sinensis and Pistacia chinensis are general(grade,comprehensive evaluation value<2.5).These results can provide theoretical references for the application of colored-leaf trees in uban green spaces of Hefei City.
基金supported by“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(MOE)(2021RIS-002)the Technology Development Program(RS-2023-00266141)funded by the Ministry of SMEs and Startups(MSS,Republic of Korea).
文摘Virtual Power Plants(VPPs)are integral to modern energy systems,providing stability and reliability in the face of the inherent complexities and fluctuations of solar power data.Traditional anomaly detection methodologies often need to adequately handle these fluctuations from solar radiation and ambient temperature variations.We introduce the Memory-Enhanced Autoencoder with Adversarial Training(MemAAE)model to overcome these limitations,designed explicitly for robust anomaly detection in VPP environments.The MemAAE model integrates three principal components:an LSTM-based autoencoder that effectively captures temporal dynamics to distinguish between normal and anomalous behaviors,an adversarial training module that enhances system resilience across diverse operational scenarios,and a prediction module that aids the autoencoder during the reconstruction process,thereby facilitating precise anomaly identification.Furthermore,MemAAE features a memory mechanism that stores critical pattern information,mitigating overfitting,alongside a dynamic threshold adjustment mechanism that adapts detection thresholds in response to evolving operational conditions.Our empirical evaluation of the MemAAE model using real-world solar power data shows that the model outperforms other comparative models on both datasets.On the Sopan-Finder dataset,MemAAE has an accuracy of 99.17%and an F1-score of 95.79%,while on the Sunalab Faro PV 2017 dataset,it has an accuracy of 97.67%and an F1-score of 93.27%.Significant performance advantages have been achieved on both datasets.These results show that MemAAE model is an effective method for real-time anomaly detection in virtual power plants(VPPs),which can enhance robustness and adaptability to inherent variables in solar power generation.
文摘This research was carried out to identify the most effective plant species for air purification based on environmental factors. The existence of plants beside roadways can be considered a more efficient approach to improving air quality and minimizing pollution exposure. The samples for this research were collected from various sites across the streets of Jeddah governorate. The primary sources of air pollution in the research area are vehicle traffic and emissions from cars. Eight species were gathered from various streets in Jeddah governorate, namely, Azadirachta indica, Senna sulfurea, Ziziphus spina-christi, Cordia sebestena, Tecoma stans, Bougainvillea spectabilis, Conocarpus lancifolius, and Ixora coccinea. The leaves of the studied plants were analyzed for secondary compounds using Gas chromatography-mass spectrometry (GC-MS) techniques. Gas-chromatographic analyses revealed that bis (2-ethylhexyl) phthalate was found in every plant. Bis-(2-ethylhexyl) phthalate, a widespread environmental pollutant. Moreover, Cordia sebestena was the sole plant that contained Phenol, 2,2’-methylenebis [6-(1,1-dimethylethyl)-4-methyl] which is part of the phenols category. Environmental conditions can affect the production of secondary metabolites. By tracking the concentrations of these substances, researchers can evaluate the well-being of ecosystems and identify pollution.
文摘To meet the demand for intelligent and unmanned development in thermal power plants,an intelligent inspection system has been designed.This system efficiently performs inspection tasks and monitors the operational parameters of key equipment in real-time.The collected data is uploaded to the monitoring center,allowing operation and maintenance personnel to access equipment information promptly.Data analysis is used to provide fault warning and diagnosis for critical equipment.The system employs the Pure Pursuit algorithm,which effectively avoids obstacles and ensures path continuity and stability.Simulation results show that the Pure Pursuit algorithm significantly improves the navigation accuracy and task efficiency of the inspection robot,ensuring the reliability of thermal power plant inspections.
