Background,aim,and scope Stable isotope in water could respond sensitively to the variation of environment and be reserved in different geological archives,although they are scarce in the environment.And the methods d...Background,aim,and scope Stable isotope in water could respond sensitively to the variation of environment and be reserved in different geological archives,although they are scarce in the environment.And the methods derived from the stable isotope composition of water have been widely applied in researches on hydrometeorology,weather diagnosis,and paleoclimate reconstruction,which help well for understanding the water-cycle processes in one region.Here,it is aimed to explore the temporal changes of stable isotopes in precipitation from Adelaide,Australia and determine the influencing factors at different timescales.Materials and methods Based on the isotopic data of daily precipitation over four years collected in Adelaide,Australia,the variation characteristics of dailyδD,δ^(18)O,and dexcess in precipitation and its relationship with meteorological elements were analyzed.Results The results demonstrated the local meteoric water line(LMWL)in Adelaide,wasδD=6.38×δ^(18)O+6.68,with a gradient less than 8.There is a significant negative correlation between dailyδ^(18)O and precipitation amount or relative humidity at daily timescales in both the whole year and wither/summerhalf year(p<0.001),but a significant positive correlation between dailyδ^(18)O and temperature in the whole year and the winter half-year(p<0.001).Discussion The correlation coefficients betweenδ^(18)O and daily mean temperature didn’t show a significant positive correlation,which may be attributed to that the precipitation in Adelaide area in January was mainly influenced by strong convective weather,and the stable isotope values in precipitation were significantly negative.Furthermore,this propose was also evidenced by the results from dexcess of precipitation with larger value in the winter half-year than that in the summer half-year,which may be resulted from the precipitation events in winter are mostly influenced by oceanic water vapor,while the sources of water vapor in summer precipitation events are more complicated and influenced by strong convective weather.On the other hand,the slope and intercept of theδ^(18)O—P regression lines in the summer months(-0.41 and 0.50‰)are larger and smaller than those in the winter months(-0.22 and-2.15‰),respectively,indicating that the precipitation stable isotopes have a relatively stronger rainout effect in the summer months than in the winter months.Besides,the measured values ofδ^(18)O in daily precipitation have a good linear relationship with our simulated values ofδ^(18)O,demonstrating the established regression model could provide a reliable simulation for theδ^(18)O values in daily precipitation in Adelaide area.It’s worth noting that the precipitation events with low precipitation amount,low relative humidity and high temperature,usually had relatively small slope and intercept of MWL,implying that raindrops may be strongly affected by sub-cloud secondary evaporation in the falling process.Conclusions The variation ofδ^(18)O in daily precipitation from Adelaide region was controlled by different factors at different timescales.And the water vapor sources and the meteorological conditions of precipitation events(such as the degree of sub-cloud secondary evaporation)also played an important role on the variation ofδ^(18)O.Recommendations and perspectives Stable isotope in daily precipitation can provide more accurate information about water-cycle and atmosphere circulation,it is therefore necessary to continue to collect and analyze daily-scale precipitation data over a longer time span.The results of this study will provide the basis for the fields of hydrometeorology,meteorological diagnosis and paleoclimate reconstruction in Adelaide,Australia.展开更多
To explore the possible explanation of the marked difference in the incidence of breast cancer between Chinese and Australian women, the authors have compared and analysed the results of two case-control studies compl...To explore the possible explanation of the marked difference in the incidence of breast cancer between Chinese and Australian women, the authors have compared and analysed the results of two case-control studies completed recently in Tianjin, China and Adelaide, Australia. Of 10 known risk factors for breast cancer 9 were significantly higher in level in Adelaide women than in Tianjin women, i.e., women in Adelaide were much taller, heavier, more obese, earlier at menarche, later at first full-term pregnancy, more nulliparous, less parity, more in history of breast cancer in first degree relatives, more educated. From the 7 risk factors analysed by use of logistic regression model 5 factors, i.e., earlier age at menarche, later age at first full-term pregnancy, less parity, history of benign disease, and history of breast cancer in first degree relatives, were associated significantly with the increased risk for breast cancer in the Tianjin study, but not in Adelaide study. These factors being not associated with breast cancer in Adelaide women were unexpected. The explanation of the indefinite findings in Adelaide study was due to the fact that the level of the risk factor is universally high, relatively uniform and lack of categories. The difference in the risk factor distribution between cases and controle would not be seen in case-control studies, and significance of the risk factor therefore may not be found. According to data on diet survey in these two cities, the calories from fat was significantly higher in Adelaide women than in Tianjin women. The marked difference in incidence in women in the two cities resulted from the summing-up effect of a number of factors. The important role of fat intake in geographical incidence difference and in the development of breast cancer was also discussed.展开更多
This paper echoes a tradition in agricultural geography by focusing on a single crop:cherries. It illustrates how developments associated with globalisation and growing urban markets are re-shaping rural areas. The in...This paper echoes a tradition in agricultural geography by focusing on a single crop:cherries. It illustrates how developments associated with globalisation and growing urban markets are re-shaping rural areas. The interplay between global and local is investigated in two different contexts. A Chinese example reflects transformations affecting the countryside following national economic reforms. Focusing on the hinterland of Xi'an, capital of Shaanxi Province, it examines farmers' responses to the changing socio-political context and the rising size and wealth of the local market. Individual initiatives backed by government support have spawned localised concentrations of cherry growing and increased horticultural production.Farm-based tourism is creating new relationships between farmers and consumers, with farms becoming more diversified and multifunctional. The second example is the Adelaide Hills, South Australia, where cherry growing is increasingly combined with direct sales to consumers and gastronomic tourism. The paper addresses contrasts and similarities between the two examples in the interplay between global and local, and a ‘multifunctional transition' in farming. Concluding remarks include reference to new economic links forged between China and Australia through relaxations on cherry imports to China and new patterns of Chinese foreign direct investment into Australian cherry production. A research agenda for future research is suggested.展开更多
Extreme weather is expected to be widespread by the year 2100 due to changes in precipitation and temperature, and rising sea levels. It is expected that there will be more heat waves, floods, bush fires, coastal eros...Extreme weather is expected to be widespread by the year 2100 due to changes in precipitation and temperature, and rising sea levels. It is expected that there will be more heat waves, floods, bush fires, coastal erosion and drought. Unfortunately, Australia is vulnerable to climate change due its hot and dry climate and as the driest state; changes are already being felt in South Australia. There is an urgent need to start adapting to climate change to cope with present and predicted climate change in the future by changing or adjusting building regulations, land use plans, and land subdivision regulations. This paper aims to provide design guidelines for adaptation to climate change at the neighborhood level. A case study method was adopted to achieve the aim of this paper. The study was conducted in two stages. The first stage presents the current design of neighborhood and its adopted design parameters for climate change. The second part provides the design guidelines for adaptation to climate change at the neighborhood level. The case study has a well oriented grid iron layout that serves as the basis of orienting and sitting future buildings that can adapt to climate change. However, the orientation of roads is good, it will be necessary to reconfigure elements of landscaping and built environment in order to address climate change in built environment by modifying design elements.展开更多
Among various advanced oxidation processes(AOPs),heterogeneous catalytic ozonation has garnered extensive attention in wastewater treatment owing to its broad pH range applicability and the elimination of the need for...Among various advanced oxidation processes(AOPs),heterogeneous catalytic ozonation has garnered extensive attention in wastewater treatment owing to its broad pH range applicability and the elimination of the need for additional energy input.Enhancing catalyst activity by introducing oxygen vacancies has been used extensively in heterogeneous catalytic ozonation.This paper reviews prevalent methods for the construction and characterization of oxygen vacancies.Based on a thorough examination of existing research,the role of oxygen vacancies is categorized according to their primary mechanisms of action in heterogeneous catalytic ozonation.For example,modulation of the catalyst electronic structure to enhance electron transfer;participation in the reaction as an active site to generate radicals and non-radicals;and exposure of more metal sites to enhance the reaction.Lastly,the paper delineates the limitations and future research directions concerning the role of oxygen vacancies in catalytic ozonation.This review addresses the gap in existing literature concerning the role of oxygen vacancies in catalytic ozone systems,establishes a comprehensive theoretical framework to aid in the design of efficient ozone catalysts,and delves into the functionality of oxygen vacancies in heterogeneous catalytic ozone reactions.展开更多
Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental ...Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental sustainability.However,the practical application of AAMIBs is still severely constrained by the tendency of aqueous electrolytes to freeze at low temperatures and decompose at high temperatures,limiting their operational temperature range.Considering the urgent need for energy systems with higher adaptability and resilience at various application scenarios,designing novel electrolytes via structure modulation has increasingly emerged as a feasible and economical strategy for the performance optimization of wide-temperature AAMIBs.In this review,the latest advancement of wide-temperature electrolytes for AAMIBs is systematically and comprehensively summarized.Specifically,the key challenges,failure mechanisms,correlations between hydrogen bond behaviors and physicochemical properties,and thermodynamic and kinetic interpretations in aqueous electrolytes are discussed firstly.Additionally,we offer forward-looking insights and innovative design principles for developing aqueous electrolytes capable of operating across a broad temperature range.This review is expected to provide some guidance and reference for the rational design and regulation of widetemperature electrolytes for AAMIBs and promote their future development.展开更多
Soil cadmium(Cd)contamination poses significant risks to human health and environmental sustainability.Despite advances in bioremediation,effective bioagents with clear mechanistic insights for Cd detoxification are l...Soil cadmium(Cd)contamination poses significant risks to human health and environmental sustainability.Despite advances in bioremediation,effective bioagents with clear mechanistic insights for Cd detoxification are lacking.We first deciphered the whole-genome sequence of a novel Cd-tolerant Trichoderma nigricans T32781 and its in vivo heavy metal tolerance.In five independent pot and field trials,we revealed the T32781-induced alleviation mechanisms of plant-microbe-soil interactions in wheat and barley in response to Cd toxicity using a combination of agronomic,physiological,microbiome and metabolome approaches.We discovered that T32781 inoculation in soil significantly increased grain yield and decreased grain Cd concentration in barley and wheat exposed to different soil Cd levels.T32781 predominantly colonized soils,mitigating Cd toxicity by reducing soil Cd availability and promoting beneficial soil microbial communities and metabolites.These beneficial effects were further validated in the field,where the exogenous application of key metabolites induced by T32781 inoculation in soils and plants significantly increased grain yield and reduced grain Cd concentration in barley.This work highlights the potential of T32781 to enhance plantmicrobe-soil interactions and support sustainable and safe crop production in Cd-contaminated soils,addressing the increasing global demand for cereal production for food and feed.展开更多
Biochar has been widely recognized as a promising solid CO_(2)adsorbent with economic and ecological benefits.Industrial CO_(2)emissions originate from diverse sources,while the pore structure and chemical functional ...Biochar has been widely recognized as a promising solid CO_(2)adsorbent with economic and ecological benefits.Industrial CO_(2)emissions originate from diverse sources,while the pore structure and chemical functional groups of biochar exhibit varying degrees of influence on CO_(2)adsorption and separation performance under different adsorption conditions.Therefore,exploring the matching relationship between the physicochemical properties of biochar and its adsorption and separation performance at different adsorption conditions is essential for the development and optimization of carbon-based adsorbents.This study selected the high-performance extreme gradient boosting(XGB)algorithm from various algorithms and utilized it to develop CO_(2),N_(2),CH_(4)adsorption prediction models.Based on this,coupled prediction models were developed for CO_(2)/N_(2)and CO_(2)/CH_(4)adsorption selectivity.Furthermore,feature importance and partial dependence analysis were performed using SHAP values.The results indicate that during CO_(2)adsorption,the influence of the pore structure of biochar outweighs that of its chemical composition.Specifically,the pore structure of 0.4–0.6 nm is the most important property influencing CO_(2)adsorption at low and medium pressure(0–0.6 bar),and the pore structure of 0.6–0.8 nm,as well as the specific surface area contribute the most at high pressure(0.6–1 bar).During CO_(2)selective separation,the CO_(2)/N_(2)mixture is primarily separated through the selective adsorption of CO_(2)by nitrogen functional groups.In contrast,for CO_(2)/CH_(4)mixtures,pore structure<1 nm plays a more critical role in determining adsorption selectivity.In addition,molecular simulation studies further revealed the adsorption filling mechanisms of CO_(2)molecules within different pore sizes and functional groups.Finally,nitrogen-doped biochar was synthesized using de-alkalize lignin as the precursor,KOH as the activating agent,and urea as the nitrogen dopant.CO_(2),N_(2),and CH_(4)isothermal adsorption experiments were conducted,and the experimental results confirmed that the developed prediction models exhibit high accuracy(R^(2)>0.9).展开更多
The Neoproterozoic and Cambrian sequences of the Mount Lofty and Flinders ranges of South Australia record a crucial interval in the evolution of life and environments on Earth.This paper summarises the key characteri...The Neoproterozoic and Cambrian sequences of the Mount Lofty and Flinders ranges of South Australia record a crucial interval in the evolution of life and environments on Earth.This paper summarises the key characteristics of the Ediacaran succession of the Adelaide Geosyncline.Recent interest in the Neoproterozoic and Cambrian successions on all continents has been driven by a quest to better understand the causes and effects of the size revolution that saw the advent of multicellular organisms in the ocean.The principal role of the Neoproterozoic Subcommission has been to determine unique time boundaries that reflect evolutionary changes in the Earth system.Utilisation of a combination of geochemical,paleobiological and stratigraphic events,to offset the limitations of the Neoproterozoic paleontological record,is required to bracket this interval of Earth history.Fossils of the Cryogenian,Ediacaran and Cambrian document a series of unexpected quantum leaps in the size and diversity of life.展开更多
Background:Recent evidence suggests continuous bouts of physical activity(PA)are associated with longevity.We hypothesized the risk of mortality would be lower when the most active minutes of the day were in a continu...Background:Recent evidence suggests continuous bouts of physical activity(PA)are associated with longevity.We hypothesized the risk of mortality would be lower when the most active minutes of the day were in a continuous bout.Methods:PA was assessed using accelerometery in UK Biobank participants.The intensity of the most active continuous(MXCONT)and accumulated(MX)X min of the day,and their ratio(MXRATIO=MXCONT/MX),were determined.MXRATIO indicates how the most active minutes of the day are accumulated,ranging from a single continuous bout through to sporadic accumulation spread across the day.Durations(X)considered ranged from 1 to 20 min.The outcome was mortality.Results:In total,94,541 participants(56.5% female)were included.Over a median(interquartile range)follow-up of 6.9(6.3,7.4)years,2649(2.8%)deaths occurred.Intensity moderated the association between how the most active minutes of the day were accumulated and mortality risk,expressed relative to sporadically accumulated moderate PA.If the most active minutes were of moderate intensity,the risk of mortality was halved for continuous compared to sporadic accumulation,irrespective of duration;if the most active minutes were of vigorous intensity,a continuous bout was associated with the lowest risk for durations under 5 min(e.g.,3 min:hazard ratio(HR)=0.27,95% confidence interval(95%CI):0.21-0.34),while sporadic accumulation was associated with the lowest risk for durations beyond 5 min(HR=0.11,95%CI:0.08-0.15 for the most active 20 min).Conclusion:Optimal PA patterns for reducing mortality differ by intensity and duration.For moderate-intensity PA,a lower mortality risk may be optimized by prioritizing continuous PA for up to 20 min.However,for vigorous-intensity PA,multiple short bouts(<5 min)may be optimal.This suggests tailored PA recommendations may enhance longevity benefits.展开更多
Urban structure and landscape cause an artificial temperature increase in cities, known as the urban heat island effect. The magnitude of such urban-rural temperature difference varies in daily and seasonal basis. Dai...Urban structure and landscape cause an artificial temperature increase in cities, known as the urban heat island effect. The magnitude of such urban-rural temperature difference varies in daily and seasonal basis. Daily patterns of urban heat accumulation in Adelaide is under investigation. In this paper, East-West air temperature profile of Adelaide metropolitan area was mapped in 60 journeys alongside a straight cross route connecting Adelaide Hills to the West Beach under clear sky between 26 July and 15 August 2013. The most intense urban-rural temperature differences of 5.9 ℃ occurred during midnight in Adelaide. However, maximum urban heat variation occurred during the late afternoon when the near-surface urban heat fluctuates by 2 ℃ between the CBD East and Western Parklands. During summer heatwaves, the afternoon heat stress limits public life vibrancy in Adelaide. Increased urban greenery can facilitate resilience to heat by providing shadow and evaporative cooling. A better under- standing of daily urban heat variations and the cooling effect of urban greenery assists urban poticy making and public life management in the context of climate change.展开更多
The rapid advancement of large models has led to the development of increasingly sophisticated models capable of generating diverse,personalized,and high-quality content.Among these,DeepSeek has emerged as a pivotal o...The rapid advancement of large models has led to the development of increasingly sophisticated models capable of generating diverse,personalized,and high-quality content.Among these,DeepSeek has emerged as a pivotal open-source initiative,demonstrating high performance at significantly lower computation costs compared to closed-source counterparts.This survey provides a comprehensive overview of the DeepSeek family of models,including DeepSeek-V3 and DeepSeek-R1,covering their core innovations in architecture,system pipeline,algorithm,and infrastructure.We explore their practical applications across various domains,such as healthcare,finance,and education,highlighting their impact on both industry and society.Further-more,we examine potential security,privacy,and ethical concerns arising from the widespread deployment of these models,emphasizing the need for responsible AI development.Finally,we outline future research directions to enhance the performance,safety,and scalability of DeepSeek models,aiming to foster further advancements in the open-source large model community.展开更多
The integration of image analysis through deep learning(DL)into rock classification represents a significant leap forward in geological research.While traditional methods remain invaluable for their expertise and hist...The integration of image analysis through deep learning(DL)into rock classification represents a significant leap forward in geological research.While traditional methods remain invaluable for their expertise and historical context,DL offers a powerful complement by enhancing the speed,objectivity,and precision of the classification process.This research explores the significance of image data augmentation techniques in optimizing the performance of convolutional neural networks(CNNs)for geological image analysis,particularly in the classification of igneous,metamorphic,and sedimentary rock types from rock thin section(RTS)images.This study primarily focuses on classic image augmentation techniques and evaluates their impact on model accuracy and precision.Results demonstrate that augmentation techniques like Equalize significantly enhance the model's classification capabilities,achieving an F1-Score of 0.9869 for igneous rocks,0.9884 for metamorphic rocks,and 0.9929 for sedimentary rocks,representing improvements compared to the baseline original results.Moreover,the weighted average F1-Score across all classes and techniques is 0.9886,indicating an enhancement.Conversely,methods like Distort lead to decreased accuracy and F1-Score,with an F1-Score of 0.949 for igneous rocks,0.954 for metamorphic rocks,and 0.9416 for sedimentary rocks,exacerbating the performance compared to the baseline.The study underscores the practicality of image data augmentation in geological image classification and advocates for the adoption of DL methods in this domain for automation and improved results.The findings of this study can benefit various fields,including remote sensing,mineral exploration,and environmental monitoring,by enhancing the accuracy of geological image analysis both for scientific research and industrial applications.展开更多
ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential sec...ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future directions.Through this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.展开更多
Software security poses substantial risks to our society because software has become part of our life. Numerous techniques have been proposed to resolve or mitigate the impact of software security issues. Among them, ...Software security poses substantial risks to our society because software has become part of our life. Numerous techniques have been proposed to resolve or mitigate the impact of software security issues. Among them, software testing and analysis are two of the critical methods, which significantly benefit from the advancements in deep learning technologies. Due to the successful use of deep learning in software security, recently,researchers have explored the potential of using large language models(LLMs) in this area. In this paper, we systematically review the results focusing on LLMs in software security. We analyze the topics of fuzzing, unit test, program repair, bug reproduction, data-driven bug detection, and bug triage. We deconstruct these techniques into several stages and analyze how LLMs can be used in the stages. We also discuss the future directions of using LLMs in software security, including the future directions for the existing use of LLMs and extensions from conventional deep learning research.展开更多
Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properti...Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properties.A further aspect of LN’s versatility stems from the ability to engineer ferroelectric domains with micro and even nano-scale precision in LN,which provides an additional degree of freedom to design acoustic and optical devices with improved performance and is only possible in a handful of other materials.In this review paper,we provide an overview of the domain engineering techniques developed for LN,their principles,and the typical domain size and pattern uniformity they provide,which is important for devices that require high-resolution domain patterns with good reproducibility.It also highlights each technique's benefits,limitations,and adaptability for an application,along with possible improvements and future advancement prospects.Further,the review provides a brief overview of domain visualization methods,which is crucial to gain insights into domain quality/shape and explores the adaptability of the proposed domain engineering methodologies for the emerging thin-film lithium niobate on an insulator platform,which creates opportunities for developing the next generation of compact and scalable photonic integrated circuits and high frequency acoustic devices.展开更多
This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method...This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method is employed to achieve secure control by estimating the system's state in real time.Secondly,by combining a memory-based adaptive eventtriggered mechanism with neural networks,the paper aims to approximate the nonlinear terms in the networked system and efficiently conserve system resources.Finally,based on a two-degree-of-freedom model of a vehicle affected by crosswinds,this paper constructs a multi-unmanned ground vehicle(Multi-UGV)system to validate the effectiveness of the proposed method.Simulation results show that the proposed control strategy can effectively handle external disturbances such as crosswinds in practical applications,ensuring the stability and reliable operation of the Multi-UGV system.展开更多
文摘Background,aim,and scope Stable isotope in water could respond sensitively to the variation of environment and be reserved in different geological archives,although they are scarce in the environment.And the methods derived from the stable isotope composition of water have been widely applied in researches on hydrometeorology,weather diagnosis,and paleoclimate reconstruction,which help well for understanding the water-cycle processes in one region.Here,it is aimed to explore the temporal changes of stable isotopes in precipitation from Adelaide,Australia and determine the influencing factors at different timescales.Materials and methods Based on the isotopic data of daily precipitation over four years collected in Adelaide,Australia,the variation characteristics of dailyδD,δ^(18)O,and dexcess in precipitation and its relationship with meteorological elements were analyzed.Results The results demonstrated the local meteoric water line(LMWL)in Adelaide,wasδD=6.38×δ^(18)O+6.68,with a gradient less than 8.There is a significant negative correlation between dailyδ^(18)O and precipitation amount or relative humidity at daily timescales in both the whole year and wither/summerhalf year(p<0.001),but a significant positive correlation between dailyδ^(18)O and temperature in the whole year and the winter half-year(p<0.001).Discussion The correlation coefficients betweenδ^(18)O and daily mean temperature didn’t show a significant positive correlation,which may be attributed to that the precipitation in Adelaide area in January was mainly influenced by strong convective weather,and the stable isotope values in precipitation were significantly negative.Furthermore,this propose was also evidenced by the results from dexcess of precipitation with larger value in the winter half-year than that in the summer half-year,which may be resulted from the precipitation events in winter are mostly influenced by oceanic water vapor,while the sources of water vapor in summer precipitation events are more complicated and influenced by strong convective weather.On the other hand,the slope and intercept of theδ^(18)O—P regression lines in the summer months(-0.41 and 0.50‰)are larger and smaller than those in the winter months(-0.22 and-2.15‰),respectively,indicating that the precipitation stable isotopes have a relatively stronger rainout effect in the summer months than in the winter months.Besides,the measured values ofδ^(18)O in daily precipitation have a good linear relationship with our simulated values ofδ^(18)O,demonstrating the established regression model could provide a reliable simulation for theδ^(18)O values in daily precipitation in Adelaide area.It’s worth noting that the precipitation events with low precipitation amount,low relative humidity and high temperature,usually had relatively small slope and intercept of MWL,implying that raindrops may be strongly affected by sub-cloud secondary evaporation in the falling process.Conclusions The variation ofδ^(18)O in daily precipitation from Adelaide region was controlled by different factors at different timescales.And the water vapor sources and the meteorological conditions of precipitation events(such as the degree of sub-cloud secondary evaporation)also played an important role on the variation ofδ^(18)O.Recommendations and perspectives Stable isotope in daily precipitation can provide more accurate information about water-cycle and atmosphere circulation,it is therefore necessary to continue to collect and analyze daily-scale precipitation data over a longer time span.The results of this study will provide the basis for the fields of hydrometeorology,meteorological diagnosis and paleoclimate reconstruction in Adelaide,Australia.
文摘To explore the possible explanation of the marked difference in the incidence of breast cancer between Chinese and Australian women, the authors have compared and analysed the results of two case-control studies completed recently in Tianjin, China and Adelaide, Australia. Of 10 known risk factors for breast cancer 9 were significantly higher in level in Adelaide women than in Tianjin women, i.e., women in Adelaide were much taller, heavier, more obese, earlier at menarche, later at first full-term pregnancy, more nulliparous, less parity, more in history of breast cancer in first degree relatives, more educated. From the 7 risk factors analysed by use of logistic regression model 5 factors, i.e., earlier age at menarche, later age at first full-term pregnancy, less parity, history of benign disease, and history of breast cancer in first degree relatives, were associated significantly with the increased risk for breast cancer in the Tianjin study, but not in Adelaide study. These factors being not associated with breast cancer in Adelaide women were unexpected. The explanation of the indefinite findings in Adelaide study was due to the fact that the level of the risk factor is universally high, relatively uniform and lack of categories. The difference in the risk factor distribution between cases and controle would not be seen in case-control studies, and significance of the risk factor therefore may not be found. According to data on diet survey in these two cities, the calories from fat was significantly higher in Adelaide women than in Tianjin women. The marked difference in incidence in women in the two cities resulted from the summing-up effect of a number of factors. The important role of fat intake in geographical incidence difference and in the development of breast cancer was also discussed.
文摘This paper echoes a tradition in agricultural geography by focusing on a single crop:cherries. It illustrates how developments associated with globalisation and growing urban markets are re-shaping rural areas. The interplay between global and local is investigated in two different contexts. A Chinese example reflects transformations affecting the countryside following national economic reforms. Focusing on the hinterland of Xi'an, capital of Shaanxi Province, it examines farmers' responses to the changing socio-political context and the rising size and wealth of the local market. Individual initiatives backed by government support have spawned localised concentrations of cherry growing and increased horticultural production.Farm-based tourism is creating new relationships between farmers and consumers, with farms becoming more diversified and multifunctional. The second example is the Adelaide Hills, South Australia, where cherry growing is increasingly combined with direct sales to consumers and gastronomic tourism. The paper addresses contrasts and similarities between the two examples in the interplay between global and local, and a ‘multifunctional transition' in farming. Concluding remarks include reference to new economic links forged between China and Australia through relaxations on cherry imports to China and new patterns of Chinese foreign direct investment into Australian cherry production. A research agenda for future research is suggested.
文摘Extreme weather is expected to be widespread by the year 2100 due to changes in precipitation and temperature, and rising sea levels. It is expected that there will be more heat waves, floods, bush fires, coastal erosion and drought. Unfortunately, Australia is vulnerable to climate change due its hot and dry climate and as the driest state; changes are already being felt in South Australia. There is an urgent need to start adapting to climate change to cope with present and predicted climate change in the future by changing or adjusting building regulations, land use plans, and land subdivision regulations. This paper aims to provide design guidelines for adaptation to climate change at the neighborhood level. A case study method was adopted to achieve the aim of this paper. The study was conducted in two stages. The first stage presents the current design of neighborhood and its adopted design parameters for climate change. The second part provides the design guidelines for adaptation to climate change at the neighborhood level. The case study has a well oriented grid iron layout that serves as the basis of orienting and sitting future buildings that can adapt to climate change. However, the orientation of roads is good, it will be necessary to reconfigure elements of landscaping and built environment in order to address climate change in built environment by modifying design elements.
基金support from the Key R&D Program of Zhejiang province(No.2024C03136).
文摘Among various advanced oxidation processes(AOPs),heterogeneous catalytic ozonation has garnered extensive attention in wastewater treatment owing to its broad pH range applicability and the elimination of the need for additional energy input.Enhancing catalyst activity by introducing oxygen vacancies has been used extensively in heterogeneous catalytic ozonation.This paper reviews prevalent methods for the construction and characterization of oxygen vacancies.Based on a thorough examination of existing research,the role of oxygen vacancies is categorized according to their primary mechanisms of action in heterogeneous catalytic ozonation.For example,modulation of the catalyst electronic structure to enhance electron transfer;participation in the reaction as an active site to generate radicals and non-radicals;and exposure of more metal sites to enhance the reaction.Lastly,the paper delineates the limitations and future research directions concerning the role of oxygen vacancies in catalytic ozonation.This review addresses the gap in existing literature concerning the role of oxygen vacancies in catalytic ozone systems,establishes a comprehensive theoretical framework to aid in the design of efficient ozone catalysts,and delves into the functionality of oxygen vacancies in heterogeneous catalytic ozone reactions.
基金supported by the National Natural Science Foundation of China(52002297)National Key R&D Program of China(2022VFB2404800)+1 种基金Wuhan Yellow Crane Talents Program,China Postdoctoral Science Foundation(No.2024M752495)the Postdoctoral Fellowship Program of CPSF(No.GZB20230552).
文摘Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental sustainability.However,the practical application of AAMIBs is still severely constrained by the tendency of aqueous electrolytes to freeze at low temperatures and decompose at high temperatures,limiting their operational temperature range.Considering the urgent need for energy systems with higher adaptability and resilience at various application scenarios,designing novel electrolytes via structure modulation has increasingly emerged as a feasible and economical strategy for the performance optimization of wide-temperature AAMIBs.In this review,the latest advancement of wide-temperature electrolytes for AAMIBs is systematically and comprehensively summarized.Specifically,the key challenges,failure mechanisms,correlations between hydrogen bond behaviors and physicochemical properties,and thermodynamic and kinetic interpretations in aqueous electrolytes are discussed firstly.Additionally,we offer forward-looking insights and innovative design principles for developing aqueous electrolytes capable of operating across a broad temperature range.This review is expected to provide some guidance and reference for the rational design and regulation of widetemperature electrolytes for AAMIBs and promote their future development.
基金supported by the National Natural Science Foundation of China(NSFC-ASRT International Joint Research Project 3211101286)Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding,China(2021C02064-3)。
文摘Soil cadmium(Cd)contamination poses significant risks to human health and environmental sustainability.Despite advances in bioremediation,effective bioagents with clear mechanistic insights for Cd detoxification are lacking.We first deciphered the whole-genome sequence of a novel Cd-tolerant Trichoderma nigricans T32781 and its in vivo heavy metal tolerance.In five independent pot and field trials,we revealed the T32781-induced alleviation mechanisms of plant-microbe-soil interactions in wheat and barley in response to Cd toxicity using a combination of agronomic,physiological,microbiome and metabolome approaches.We discovered that T32781 inoculation in soil significantly increased grain yield and decreased grain Cd concentration in barley and wheat exposed to different soil Cd levels.T32781 predominantly colonized soils,mitigating Cd toxicity by reducing soil Cd availability and promoting beneficial soil microbial communities and metabolites.These beneficial effects were further validated in the field,where the exogenous application of key metabolites induced by T32781 inoculation in soils and plants significantly increased grain yield and reduced grain Cd concentration in barley.This work highlights the potential of T32781 to enhance plantmicrobe-soil interactions and support sustainable and safe crop production in Cd-contaminated soils,addressing the increasing global demand for cereal production for food and feed.
基金supported by the Fundamental Research Funds for the Central Universities(No.2025JC008)the National Natural Science Foundation of China(grant number 52176105)+2 种基金the Science and Technology Project of Hebei Education Department-China(BJK2022063)the Hebei Natural Science Foundation-China(grant number E2025502038)the Funding Program for Cultivating Innovative Abilities of Graduate Students in Hebei Province of China(CXZZBS2025184).
文摘Biochar has been widely recognized as a promising solid CO_(2)adsorbent with economic and ecological benefits.Industrial CO_(2)emissions originate from diverse sources,while the pore structure and chemical functional groups of biochar exhibit varying degrees of influence on CO_(2)adsorption and separation performance under different adsorption conditions.Therefore,exploring the matching relationship between the physicochemical properties of biochar and its adsorption and separation performance at different adsorption conditions is essential for the development and optimization of carbon-based adsorbents.This study selected the high-performance extreme gradient boosting(XGB)algorithm from various algorithms and utilized it to develop CO_(2),N_(2),CH_(4)adsorption prediction models.Based on this,coupled prediction models were developed for CO_(2)/N_(2)and CO_(2)/CH_(4)adsorption selectivity.Furthermore,feature importance and partial dependence analysis were performed using SHAP values.The results indicate that during CO_(2)adsorption,the influence of the pore structure of biochar outweighs that of its chemical composition.Specifically,the pore structure of 0.4–0.6 nm is the most important property influencing CO_(2)adsorption at low and medium pressure(0–0.6 bar),and the pore structure of 0.6–0.8 nm,as well as the specific surface area contribute the most at high pressure(0.6–1 bar).During CO_(2)selective separation,the CO_(2)/N_(2)mixture is primarily separated through the selective adsorption of CO_(2)by nitrogen functional groups.In contrast,for CO_(2)/CH_(4)mixtures,pore structure<1 nm plays a more critical role in determining adsorption selectivity.In addition,molecular simulation studies further revealed the adsorption filling mechanisms of CO_(2)molecules within different pore sizes and functional groups.Finally,nitrogen-doped biochar was synthesized using de-alkalize lignin as the precursor,KOH as the activating agent,and urea as the nitrogen dopant.CO_(2),N_(2),and CH_(4)isothermal adsorption experiments were conducted,and the experimental results confirmed that the developed prediction models exhibit high accuracy(R^(2)>0.9).
基金Support has been provided from Australian Research Council Discovery grant(DP0453393)National Science Foundation grant(EAR-0074021).
文摘The Neoproterozoic and Cambrian sequences of the Mount Lofty and Flinders ranges of South Australia record a crucial interval in the evolution of life and environments on Earth.This paper summarises the key characteristics of the Ediacaran succession of the Adelaide Geosyncline.Recent interest in the Neoproterozoic and Cambrian successions on all continents has been driven by a quest to better understand the causes and effects of the size revolution that saw the advent of multicellular organisms in the ocean.The principal role of the Neoproterozoic Subcommission has been to determine unique time boundaries that reflect evolutionary changes in the Earth system.Utilisation of a combination of geochemical,paleobiological and stratigraphic events,to offset the limitations of the Neoproterozoic paleontological record,is required to bracket this interval of Earth history.Fossils of the Cryogenian,Ediacaran and Cambrian document a series of unexpected quantum leaps in the size and diversity of life.
基金funded by UK Research and Innovation(research which commenced between October 1,2020-March 31,2021,Grant ref MC_PC_20029April 1,2021-September 31,2022,Grant ref MC_PC_20058)supported by the National Institute for Health Research(NIHR)Leicester Biomedical Research Centre and NIHR Applied Research CollaborationEast Midlands(ARC-EM)。
文摘Background:Recent evidence suggests continuous bouts of physical activity(PA)are associated with longevity.We hypothesized the risk of mortality would be lower when the most active minutes of the day were in a continuous bout.Methods:PA was assessed using accelerometery in UK Biobank participants.The intensity of the most active continuous(MXCONT)and accumulated(MX)X min of the day,and their ratio(MXRATIO=MXCONT/MX),were determined.MXRATIO indicates how the most active minutes of the day are accumulated,ranging from a single continuous bout through to sporadic accumulation spread across the day.Durations(X)considered ranged from 1 to 20 min.The outcome was mortality.Results:In total,94,541 participants(56.5% female)were included.Over a median(interquartile range)follow-up of 6.9(6.3,7.4)years,2649(2.8%)deaths occurred.Intensity moderated the association between how the most active minutes of the day were accumulated and mortality risk,expressed relative to sporadically accumulated moderate PA.If the most active minutes were of moderate intensity,the risk of mortality was halved for continuous compared to sporadic accumulation,irrespective of duration;if the most active minutes were of vigorous intensity,a continuous bout was associated with the lowest risk for durations under 5 min(e.g.,3 min:hazard ratio(HR)=0.27,95% confidence interval(95%CI):0.21-0.34),while sporadic accumulation was associated with the lowest risk for durations beyond 5 min(HR=0.11,95%CI:0.08-0.15 for the most active 20 min).Conclusion:Optimal PA patterns for reducing mortality differ by intensity and duration.For moderate-intensity PA,a lower mortality risk may be optimized by prioritizing continuous PA for up to 20 min.However,for vigorous-intensity PA,multiple short bouts(<5 min)may be optimal.This suggests tailored PA recommendations may enhance longevity benefits.
文摘Urban structure and landscape cause an artificial temperature increase in cities, known as the urban heat island effect. The magnitude of such urban-rural temperature difference varies in daily and seasonal basis. Daily patterns of urban heat accumulation in Adelaide is under investigation. In this paper, East-West air temperature profile of Adelaide metropolitan area was mapped in 60 journeys alongside a straight cross route connecting Adelaide Hills to the West Beach under clear sky between 26 July and 15 August 2013. The most intense urban-rural temperature differences of 5.9 ℃ occurred during midnight in Adelaide. However, maximum urban heat variation occurred during the late afternoon when the near-surface urban heat fluctuates by 2 ℃ between the CBD East and Western Parklands. During summer heatwaves, the afternoon heat stress limits public life vibrancy in Adelaide. Increased urban greenery can facilitate resilience to heat by providing shadow and evaporative cooling. A better under- standing of daily urban heat variations and the cooling effect of urban greenery assists urban poticy making and public life management in the context of climate change.
文摘The rapid advancement of large models has led to the development of increasingly sophisticated models capable of generating diverse,personalized,and high-quality content.Among these,DeepSeek has emerged as a pivotal open-source initiative,demonstrating high performance at significantly lower computation costs compared to closed-source counterparts.This survey provides a comprehensive overview of the DeepSeek family of models,including DeepSeek-V3 and DeepSeek-R1,covering their core innovations in architecture,system pipeline,algorithm,and infrastructure.We explore their practical applications across various domains,such as healthcare,finance,and education,highlighting their impact on both industry and society.Further-more,we examine potential security,privacy,and ethical concerns arising from the widespread deployment of these models,emphasizing the need for responsible AI development.Finally,we outline future research directions to enhance the performance,safety,and scalability of DeepSeek models,aiming to foster further advancements in the open-source large model community.
文摘The integration of image analysis through deep learning(DL)into rock classification represents a significant leap forward in geological research.While traditional methods remain invaluable for their expertise and historical context,DL offers a powerful complement by enhancing the speed,objectivity,and precision of the classification process.This research explores the significance of image data augmentation techniques in optimizing the performance of convolutional neural networks(CNNs)for geological image analysis,particularly in the classification of igneous,metamorphic,and sedimentary rock types from rock thin section(RTS)images.This study primarily focuses on classic image augmentation techniques and evaluates their impact on model accuracy and precision.Results demonstrate that augmentation techniques like Equalize significantly enhance the model's classification capabilities,achieving an F1-Score of 0.9869 for igneous rocks,0.9884 for metamorphic rocks,and 0.9929 for sedimentary rocks,representing improvements compared to the baseline original results.Moreover,the weighted average F1-Score across all classes and techniques is 0.9886,indicating an enhancement.Conversely,methods like Distort lead to decreased accuracy and F1-Score,with an F1-Score of 0.949 for igneous rocks,0.954 for metamorphic rocks,and 0.9416 for sedimentary rocks,exacerbating the performance compared to the baseline.The study underscores the practicality of image data augmentation in geological image classification and advocates for the adoption of DL methods in this domain for automation and improved results.The findings of this study can benefit various fields,including remote sensing,mineral exploration,and environmental monitoring,by enhancing the accuracy of geological image analysis both for scientific research and industrial applications.
文摘ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future directions.Through this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.
文摘Software security poses substantial risks to our society because software has become part of our life. Numerous techniques have been proposed to resolve or mitigate the impact of software security issues. Among them, software testing and analysis are two of the critical methods, which significantly benefit from the advancements in deep learning technologies. Due to the successful use of deep learning in software security, recently,researchers have explored the potential of using large language models(LLMs) in this area. In this paper, we systematically review the results focusing on LLMs in software security. We analyze the topics of fuzzing, unit test, program repair, bug reproduction, data-driven bug detection, and bug triage. We deconstruct these techniques into several stages and analyze how LLMs can be used in the stages. We also discuss the future directions of using LLMs in software security, including the future directions for the existing use of LLMs and extensions from conventional deep learning research.
基金supported by the Australian Research Council Centre of Excellence in Optical Microcombs for Breakthrough Science COMBS(CE230100006)the Australian Research Council grants DP220100488 and DE230100964funded by the Australian Government.
文摘Lithium niobate(LN)has remained at the forefront of academic research and industrial applications due to its rich material properties,which include second-order nonlinear optic,electro-optic,and piezoelectric properties.A further aspect of LN’s versatility stems from the ability to engineer ferroelectric domains with micro and even nano-scale precision in LN,which provides an additional degree of freedom to design acoustic and optical devices with improved performance and is only possible in a handful of other materials.In this review paper,we provide an overview of the domain engineering techniques developed for LN,their principles,and the typical domain size and pattern uniformity they provide,which is important for devices that require high-resolution domain patterns with good reproducibility.It also highlights each technique's benefits,limitations,and adaptability for an application,along with possible improvements and future advancement prospects.Further,the review provides a brief overview of domain visualization methods,which is crucial to gain insights into domain quality/shape and explores the adaptability of the proposed domain engineering methodologies for the emerging thin-film lithium niobate on an insulator platform,which creates opportunities for developing the next generation of compact and scalable photonic integrated circuits and high frequency acoustic devices.
基金The National Natural Science Foundation of China(W2431048)The Science and Technology Research Program of Chongqing Municipal Education Commission,China(KJZDK202300807)The Chongqing Natural Science Foundation,China(CSTB2024NSCQQCXMX0052).
文摘This paper addresses the consensus problem of nonlinear multi-agent systems subject to external disturbances and uncertainties under denial-ofservice(DoS)attacks.Firstly,an observer-based state feedback control method is employed to achieve secure control by estimating the system's state in real time.Secondly,by combining a memory-based adaptive eventtriggered mechanism with neural networks,the paper aims to approximate the nonlinear terms in the networked system and efficiently conserve system resources.Finally,based on a two-degree-of-freedom model of a vehicle affected by crosswinds,this paper constructs a multi-unmanned ground vehicle(Multi-UGV)system to validate the effectiveness of the proposed method.Simulation results show that the proposed control strategy can effectively handle external disturbances such as crosswinds in practical applications,ensuring the stability and reliable operation of the Multi-UGV system.
