Species, application frequencies, habitat features and combination modes of Rhododendron species in Kunming City were studied through random sampling in different subareas of Kunming City. The results show that Rhodod...Species, application frequencies, habitat features and combination modes of Rhododendron species in Kunming City were studied through random sampling in different subareas of Kunming City. The results show that Rhododendron species were widely applied in parks, residential areas and street-side green spaces. Diversified application patterns presented excellent landscape effects, but only a few species were used, for example, Rhododendron pulchrum Sweet., R. hybridum, R. simsii var. simsii, while R. delavayi Franch. and R. simsii var. mesembrinum Rehd. were occasionally found. Landscaping features of Kunming were characterized by domination of Rhododendron species, advantages and problems of Rhododendron species in landscaping of Kunming City were analyzed. It was proposed that introduction and domestication of wild Rhododendron species should be enhanced, rich germplasm resources of Rhododendron species should be fully used, and more indigenous Rhododendron species applied.展开更多
猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方...猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方法,构建标准曲线后分别验证该方法的特异性、敏感性、重复性,并将其进一步应用于人工感染猫产生的临床样本检测。结果:该特异性引物与猫杯状病毒(FCV)、猫细小病毒(FPV)和猫冠状病毒(FCoV)均未出现交叉反应,检测下限为14.78 copies/μL,组内和组间重复试验的变异系数均低于2%;该方法对临床样本的检出率比常规PCR高出25.46%;通过该方法检测人工感染FHV-1强毒后猫的每日排毒量,结果呈现上升趋势,与临床发病程度相符,猫的脏器病毒载量存在个体差异,但集中在心脏、肺脏、肠道和膀胱中检出。综上,该研究建立的SYBR Green I荧光定量PCR方法对FHV-1具有较好的特异性、灵敏度和重复性,为FHV-1感染的快速诊断以及疾病的防控提供方法支持。展开更多
From April 21st to 23rd,the 2025 China Surfactant Industry Conference was successfully held in Hangzhou.The conference was hosted by China Research Institute of Daily Chemical,and the National Engineering Research Cen...From April 21st to 23rd,the 2025 China Surfactant Industry Conference was successfully held in Hangzhou.The conference was hosted by China Research Institute of Daily Chemical,and the National Engineering Research Center for Surfactant,undertaken by the National Productivity Promotion Center for Surfactant and Detergent Industry and the China Daily Chemical Industry Information Center,specially co-organized by Zanyu Technology Group Co.,Ltd,and jointly co-organized by the China Surface Active Agent Industry Alliance (SAA),the Malaysian Palm Oil Board (MPOB),the Roundtable on Sustainable Palm Oil (RSPO),and the American Oil Chemists’ Society (AOCS).展开更多
Accounting's emphasis has changed from standard financial reporting to sustainability reporting that takes environmental factors into account as a result of the sustainable development paradigm's evolution.In ...Accounting's emphasis has changed from standard financial reporting to sustainability reporting that takes environmental factors into account as a result of the sustainable development paradigm's evolution.In order to facilitate the incorporation of environmental data into the ESG(Environmental,Social,and Governance)reporting framework,green accounting has become a popular strategic approach.A comprehensive evaluation of recent research on the effects of green accounting on the quality of ESG disclosure,risk perception,and investment decision-making,as well as the use of digital technology in corporate operations,is the goal of this study.By analyzing 74 Scopus-indexed articles published between 2021 and 2024,this study finds that the integration of green accounting enhances the transparency and accountability of environmental reporting,influences firm valuation,and serves as a credibility signal to the market.Furthermore,the adoption of technologies such as AI,blockchain,and big data has proven to improve the accuracy and effectiveness of green accounting practices,although technical and resource-related challenges remain,particularly in developing countries and the SME sector.This study makes both theoretical and practical contributions to support more sustainable decision-making and proposes a future research agenda that position green accounting as a strategic instrument within the green economy.展开更多
This article presents a comprehensive framework for advancing sustainable transportation through the integration of next-generation energy technologies.It explores the convergence of Vernova green energy,nuclear fissi...This article presents a comprehensive framework for advancing sustainable transportation through the integration of next-generation energy technologies.It explores the convergence of Vernova green energy,nuclear fission from ARCs(advanced reactor concepts)and SMRs(small modular reactors),and future-focused nuclear fusion methods-MCF(magnetic confinement fusion)and ICF(inertial confinement fusion).Central to this integration is the use of AI(artificial intelligence)to enhance smart grid efficiency,enable real-time optimization,and ensure resilient energy delivery.The synergy between these zero-carbon energy sources and AI-driven infrastructure promises a transformative impact on electric mobility,hydrogen-powered systems,and autonomous transport.By detailing the architecture of an AI-augmented,carbon-neutral transport ecosystem,this paper contributes to the roadmap for future global mobility.展开更多
Objective Almost 15%of prostate cancer(PCa)patients were found to have lymph node metastases(LNMs),which are associated with higher risk of biochemical recurrence.Using indocyanine green(ICG)for the sentinel node biop...Objective Almost 15%of prostate cancer(PCa)patients were found to have lymph node metastases(LNMs),which are associated with higher risk of biochemical recurrence.Using indocyanine green(ICG)for the sentinel node biopsy(SNB)before surgery was proposed to detect LNMs in PCa patients.However,its diagnostic performance still remains controversial.This study aimed to investigate the diagnostic performance of ICG for the SNB in PCa.Methods This systematic review and meta-analysis has been reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.The protocol has been registered in the International Prospective Register of Systematic Reviews database,and the register number is CRD42023421911.Four bibliographic databases were searched,i.e.,PubMed,EMBASE,Cochrane Library,and Web of Science,to retrieve articles studying the diagnostic performance of ICG for the SNB in PCa from the inception to Sep 9,2023.We calculated the pooled sensitivity,specificity,likelihood ratios,diagnostic odds ratios and their 95%confidence intervals(CIs).Subgroup analyses and meta-regression analyses were also conducted.Results A total of 17 articles from databases are enrolled in this study.Using lymph node-based data,our results showed that the pooled sensitivity and specificity of applying ICG alone in PCa were 71%(95%CI 52%–85%)and 68%(95%CI 64%–72%),respectively.The pooled sensitivity and specificity of applying ICG-technetium-99m-nanocolloid in PCa were 49%(95%CI 39%–59%)and 69%(95%CI 67%–71%),respectively.展开更多
With the intensification of the energy crisis and the worsening greenhouse effect,the development of sustainable integrated energy systems(IES)has become a crucial direction for energy transition.In this context,this ...With the intensification of the energy crisis and the worsening greenhouse effect,the development of sustainable integrated energy systems(IES)has become a crucial direction for energy transition.In this context,this paper proposes a low-carbon economic dispatch strategy under the green hydrogen certificate trading(GHCT)and the ladder-type carbon emission trading(CET)mechanism,enabling the coordinated utilization of green and blue hydrogen.Specifically,a proton exchange membrane electrolyzer(PEME)model that accounts for dynamic efficiency characteristics,and a steam methane reforming(SMR)model incorporating waste heat recovery,are developed.Based on these models,a hydrogen production–storage–utilization framework is established to enable the coordinated deployment of green and blue hydrogen.Furthermore,the gas turbine(GT)unit are retrofitted using oxygenenriched combustion carbon capture(OCC)technology,wherein the oxygen produced by PEME is employed to create an oxygen-enriched combustion environment.This approach reduces energy waste and facilitates low-carbon power generation.In addition,the GHCT mechanism is integrated into the system alongside the ladder-type CET mechanism,and their complementary effects are investigated.A comprehensive optimization model is then formulated to simultaneously achieve carbon reduction and economic efficiency across the system.Case study results show that the proposed strategy reduces wind curtailment by 7.77%,carbon emissions by 65.98%,and total cost by 12.57%.This study offers theoretical reference for the low-carbon,economic,and efficient operation of future energy systems.展开更多
In the grand tapestry of the global energy transition,the quest for scalable hydrogen economies emerges as a pivotal thread,weaving together the dual imperatives of decarbonization and industrial pragmatism.Yet,in its...In the grand tapestry of the global energy transition,the quest for scalable hydrogen economies emerges as a pivotal thread,weaving together the dual imperatives of decarbonization and industrial pragmatism.Yet,in its present form,hydrogen production remains deeply entwined with carbon emissions.展开更多
The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis.This paper presents an innovative framework,the Intelligent ...The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis.This paper presents an innovative framework,the Intelligent Power Stability and Scheduling(IPSS)System,which is designed to enhance the safety,stability,and economic efficiency of power systems,particularly those integrated with green energy sources.The IPSS System is distinguished by its integration of a CNN-Transformer predictive model,which leverages the strengths of Convolutional Neural Networks(CNN)for local feature extraction and Transformer architecture for global dependency modeling,offering significant potential in power safety diagnostics.TheIPSS System optimizes the economic and stability objectives of the power grid through an improved Zebra Algorithm,which aims tominimize operational costs and grid instability.Theperformance of the predictive model is comprehensively evaluated using key metrics such as Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and Coefficient of Determination(R2).Experimental results demonstrate the superiority of the CNN-Transformer model,with the lowest RMSE and MAE values of 0.0063 and 0.00421,respectively,on the training set,and an R2 value approaching 1,at 0.99635,indicating minimal prediction error and strong data interpretability.On the test set,the model maintains its excellence with the lowest RMSE and MAE values of 0.009 and 0.00673,respectively,and an R2 value of 0.97233.The IPSS System outperforms other models in terms of prediction accuracy and explanatory power and validates its effectiveness in economic and stability analysis through comparative studies with other optimization algorithms.The system’s efficacy is further supported by experimental results,highlighting the proposed scheme’s capability to reduce operational costs and enhance system stability,making it a valuable contribution to the field of green energy systems.展开更多
The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment,hindering the efficient utilization of renewable energy and the low-carbon development of...The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment,hindering the efficient utilization of renewable energy and the low-carbon development of energy systems.To enhance the consumption capacity of green power,the green power system consumption optimization scheduling model(GPS-COSM)is proposed,which comprehensively integrates green power system,electric boiler,combined heat and power unit,thermal energy storage,and electrical energy storage.The optimization objectives are to minimize operating cost,minimize carbon emission,and maximize the consumption of wind and solar curtailment.The multi-objective particle swarm optimization algorithm is employed to solve the model,and a fuzzy membership function is introduced to evaluate the satisfaction level of the Pareto optimal solution set,thereby selecting the optimal compromise solution to achieve a dynamic balance among economic efficiency,environmental friendliness,and energy utilization efficiency.Three typical operating modes are designed for comparative analysis.The results demonstrate that the mode involving the coordinated operation of electric boiler,thermal energy storage,and electrical energy storage performs the best in terms of economic efficiency,environmental friendliness,and renewable energy utilization efficiency,achieving the wind and solar curtailment consumption rate of 99.58%.The application of electric boiler significantly enhances the direct accommodation capacity of the green power system.Thermal energy storage optimizes intertemporal regulation,while electrical energy storage strengthens the system’s dynamic regulation capability.The coordinated optimization of multiple devices significantly reduces reliance on fossil fuels.展开更多
Green transplant refers to the realization of the importance of understanding and improving the environmental footprint of transplantation through sustainable practices.This involves assessing the entire transplantati...Green transplant refers to the realization of the importance of understanding and improving the environmental footprint of transplantation through sustainable practices.This involves assessing the entire transplantation process including preoperative evaluation,donation,organ and patient transportation,surgery,postoperative recovery,and follow-up.This is a topic that has not been fully addressed yet,but its importance is being increasingly appreciated in surgery.The aim of this study was to investigate the carbon footprint associated with transplantation and propose sustainable mitigating solutions.A comprehensive review of the existing literature on transplantation was conducted and supplemented with findings from the broader fields of surgical and perioperative care,given the scarcity of available data.The analysis identified the most involved environmental factors and attempted to offer practical solutions based on current sustainability practices.Notably,no study has yet examined the carbon footprint associated with the entire transplantation procedure.Only five studies have attempted to assess the environmental impact of kidney or liver transplants,but they focused,almost explicitly,on specific steps of the process.By employing an extrapolative methodology from the broader surgical field,we determined that the primary contributors to the environmental impact of transplantation are energy,consumables and materials,anesthesia and pharmaceuticals,transportation,and water.This review offers practical solutions utilizing the 5R framework,emphasizing sustainability to ensure transplantation remains clinically and environmentally relevant.展开更多
Atrazine,a persistent triazine herbicide,poses environmental and health risks.This study examines the synergis-tic remediation of atrazine-contaminated soil using green manure plant(GMP)hairy vetch(Vicia villosa Roth,...Atrazine,a persistent triazine herbicide,poses environmental and health risks.This study examines the synergis-tic remediation of atrazine-contaminated soil using green manure plant(GMP)hairy vetch(Vicia villosa Roth,VV)and the exogenous atrazine-degrading bacterium Arthrobacter sp.ATR1.Soil samples contaminated with atrazine at 5 and 20 mg/kg were treated with control(CK),ATR1(CKatr),hairy vetch(VV),and combined hairy vetch and ATR1 remediation(VVatr).The results indicated that the VVatr treatment exhibited the most effective atrazine removal,achieving enhancements of 56.12%at 5 mg/kg and 54.51%at 20 mg/kg compared to CK after 28 days.Soil enzyme activities,including urease,sucrase,and alkaline phosphatase,were significantly elevated in the VV and VVatr treatments,contributing to improved soil quality.Additionally,the CKatr,VV,and VVatr treat-ments enhanced bacterial diversity and richness while altering the microbial community structure.The VV and VVatr treatments notably enriched indigenous atrazine-degrading bacteria and nitrogen-fixing bacteria in the rhizosphere.This microbial enrichment upregulated the Atrazine degradation and Nitrogen metabolism pathways,facilitating both atrazine removal and nitrogen cycling in the soil.And VVatr treatment promoted the stability of the microbial network and enhanced the cooperative relationship between key indigenous atrazine-degrading and nitrogen-fixing bacteria.These findings explain the mechanism of plantmicrobe combined remediation of atrazine-contaminated soil from the perspective of rhizosphere microorganisms and offer a theoretical basis for the practical application of this method.展开更多
Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fund...Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency,coupled with impractical thicknesses(≥1 mm).Inspired by squid’s skin-peeling mechanism,this work develops a peroxyformic acid(HCOOOH)-enabled precision peeling strategy to isolate intact 10-μm-thick bamboo green(BG)frameworks—100×thinner than wood-based counterparts while achieving an unprecedented optical performance(88%haze with 80%transparency).This performance surpasses delignified biomass(transparency<40%at 1 mm)and matches engineered cellulose composites,yet requires no energy-intensive nanofibrillation.The preserved native cellulose I crystalline structure(64.76%crystallinity)and wax-coated uniaxial fibril alignment(Hermans factor:0.23)contribute to high mechanical strength(903 MPa modulus)and broadband light scattering.As a light-management layer in polycrystalline silicon solar cells,the BG framework boosts photoelectric conversion efficiency by 0.41%absolute(18.74%→19.15%),outperforming synthetic anti-reflective coatings.The work establishes a scalable,waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics.展开更多
To deal with a polluted by-product of coal production,central China’s Shanxi Province has explored a governance path that addresses both the symptoms and root causes.
Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017...Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017 city characteristics panel data and monthly CO_(2) emission records,we employ a staggered difference-in-differences(DID)model to assess the impact of bike-sharing on per capita urban CO_(2) emissions.The results show that bike-sharing platforms significantly cut emissions by replacing high-carbon transport and boosting public adoption of shared bikes.This effect is more potent in cities with less stringent environmental enforcement,more advanced digital economies,greater technological innovation,and where two platforms jointly entered.By elucidating the mechanisms underlying bike-sharing’s carbon-reduction potential,this study highlights its role in urban sustainability.It offers policy insights for leveraging shared mobility to reduce city carbon emissions.展开更多
Over the past ten years,numerous papers have been published on the use of indocyanine green(ICG)fluorescence in liver surgery for hepatocellular carcinoma(HCC).There are many different applications.The first involves ...Over the past ten years,numerous papers have been published on the use of indocyanine green(ICG)fluorescence in liver surgery for hepatocellular carcinoma(HCC).There are many different applications.The first involves targeting superficial tumors in patients with macronodular cirrhosis and an irregular liver surface.In a minimally invasive setting,the lack of tactile feedback on the hepatic surface makes detecting subcapsular HCC with ultrasound alone challenging.ICG fusion images can mimic the tactile feedback of the hand and act as an ultrasound booster.ICG fluorescence can be used to evaluate tumor residues after minimally invasive thermal ablation.ICG fluorescence imaging can also be used to identify the grade of HCC early on and evaluate the microinvasive component.展开更多
基金Supported by Scientific Research Start-up Foundation(A2002160)Yunnan Province Natural Science Foundation(2009CD064)
文摘Species, application frequencies, habitat features and combination modes of Rhododendron species in Kunming City were studied through random sampling in different subareas of Kunming City. The results show that Rhododendron species were widely applied in parks, residential areas and street-side green spaces. Diversified application patterns presented excellent landscape effects, but only a few species were used, for example, Rhododendron pulchrum Sweet., R. hybridum, R. simsii var. simsii, while R. delavayi Franch. and R. simsii var. mesembrinum Rehd. were occasionally found. Landscaping features of Kunming were characterized by domination of Rhododendron species, advantages and problems of Rhododendron species in landscaping of Kunming City were analyzed. It was proposed that introduction and domestication of wild Rhododendron species should be enhanced, rich germplasm resources of Rhododendron species should be fully used, and more indigenous Rhododendron species applied.
文摘猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方法,构建标准曲线后分别验证该方法的特异性、敏感性、重复性,并将其进一步应用于人工感染猫产生的临床样本检测。结果:该特异性引物与猫杯状病毒(FCV)、猫细小病毒(FPV)和猫冠状病毒(FCoV)均未出现交叉反应,检测下限为14.78 copies/μL,组内和组间重复试验的变异系数均低于2%;该方法对临床样本的检出率比常规PCR高出25.46%;通过该方法检测人工感染FHV-1强毒后猫的每日排毒量,结果呈现上升趋势,与临床发病程度相符,猫的脏器病毒载量存在个体差异,但集中在心脏、肺脏、肠道和膀胱中检出。综上,该研究建立的SYBR Green I荧光定量PCR方法对FHV-1具有较好的特异性、灵敏度和重复性,为FHV-1感染的快速诊断以及疾病的防控提供方法支持。
文摘From April 21st to 23rd,the 2025 China Surfactant Industry Conference was successfully held in Hangzhou.The conference was hosted by China Research Institute of Daily Chemical,and the National Engineering Research Center for Surfactant,undertaken by the National Productivity Promotion Center for Surfactant and Detergent Industry and the China Daily Chemical Industry Information Center,specially co-organized by Zanyu Technology Group Co.,Ltd,and jointly co-organized by the China Surface Active Agent Industry Alliance (SAA),the Malaysian Palm Oil Board (MPOB),the Roundtable on Sustainable Palm Oil (RSPO),and the American Oil Chemists’ Society (AOCS).
文摘Accounting's emphasis has changed from standard financial reporting to sustainability reporting that takes environmental factors into account as a result of the sustainable development paradigm's evolution.In order to facilitate the incorporation of environmental data into the ESG(Environmental,Social,and Governance)reporting framework,green accounting has become a popular strategic approach.A comprehensive evaluation of recent research on the effects of green accounting on the quality of ESG disclosure,risk perception,and investment decision-making,as well as the use of digital technology in corporate operations,is the goal of this study.By analyzing 74 Scopus-indexed articles published between 2021 and 2024,this study finds that the integration of green accounting enhances the transparency and accountability of environmental reporting,influences firm valuation,and serves as a credibility signal to the market.Furthermore,the adoption of technologies such as AI,blockchain,and big data has proven to improve the accuracy and effectiveness of green accounting practices,although technical and resource-related challenges remain,particularly in developing countries and the SME sector.This study makes both theoretical and practical contributions to support more sustainable decision-making and proposes a future research agenda that position green accounting as a strategic instrument within the green economy.
文摘This article presents a comprehensive framework for advancing sustainable transportation through the integration of next-generation energy technologies.It explores the convergence of Vernova green energy,nuclear fission from ARCs(advanced reactor concepts)and SMRs(small modular reactors),and future-focused nuclear fusion methods-MCF(magnetic confinement fusion)and ICF(inertial confinement fusion).Central to this integration is the use of AI(artificial intelligence)to enhance smart grid efficiency,enable real-time optimization,and ensure resilient energy delivery.The synergy between these zero-carbon energy sources and AI-driven infrastructure promises a transformative impact on electric mobility,hydrogen-powered systems,and autonomous transport.By detailing the architecture of an AI-augmented,carbon-neutral transport ecosystem,this paper contributes to the roadmap for future global mobility.
文摘Objective Almost 15%of prostate cancer(PCa)patients were found to have lymph node metastases(LNMs),which are associated with higher risk of biochemical recurrence.Using indocyanine green(ICG)for the sentinel node biopsy(SNB)before surgery was proposed to detect LNMs in PCa patients.However,its diagnostic performance still remains controversial.This study aimed to investigate the diagnostic performance of ICG for the SNB in PCa.Methods This systematic review and meta-analysis has been reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.The protocol has been registered in the International Prospective Register of Systematic Reviews database,and the register number is CRD42023421911.Four bibliographic databases were searched,i.e.,PubMed,EMBASE,Cochrane Library,and Web of Science,to retrieve articles studying the diagnostic performance of ICG for the SNB in PCa from the inception to Sep 9,2023.We calculated the pooled sensitivity,specificity,likelihood ratios,diagnostic odds ratios and their 95%confidence intervals(CIs).Subgroup analyses and meta-regression analyses were also conducted.Results A total of 17 articles from databases are enrolled in this study.Using lymph node-based data,our results showed that the pooled sensitivity and specificity of applying ICG alone in PCa were 71%(95%CI 52%–85%)and 68%(95%CI 64%–72%),respectively.The pooled sensitivity and specificity of applying ICG-technetium-99m-nanocolloid in PCa were 49%(95%CI 39%–59%)and 69%(95%CI 67%–71%),respectively.
基金supported by National Natural Science Foundation of China(52477101)Natural Science Foundation of Jiangsu Province(BK20210932).
文摘With the intensification of the energy crisis and the worsening greenhouse effect,the development of sustainable integrated energy systems(IES)has become a crucial direction for energy transition.In this context,this paper proposes a low-carbon economic dispatch strategy under the green hydrogen certificate trading(GHCT)and the ladder-type carbon emission trading(CET)mechanism,enabling the coordinated utilization of green and blue hydrogen.Specifically,a proton exchange membrane electrolyzer(PEME)model that accounts for dynamic efficiency characteristics,and a steam methane reforming(SMR)model incorporating waste heat recovery,are developed.Based on these models,a hydrogen production–storage–utilization framework is established to enable the coordinated deployment of green and blue hydrogen.Furthermore,the gas turbine(GT)unit are retrofitted using oxygenenriched combustion carbon capture(OCC)technology,wherein the oxygen produced by PEME is employed to create an oxygen-enriched combustion environment.This approach reduces energy waste and facilitates low-carbon power generation.In addition,the GHCT mechanism is integrated into the system alongside the ladder-type CET mechanism,and their complementary effects are investigated.A comprehensive optimization model is then formulated to simultaneously achieve carbon reduction and economic efficiency across the system.Case study results show that the proposed strategy reduces wind curtailment by 7.77%,carbon emissions by 65.98%,and total cost by 12.57%.This study offers theoretical reference for the low-carbon,economic,and efficient operation of future energy systems.
基金financially supported by the National Natural Science Foundation of China(22225902)the National Key Research&Development Program of China(2022YFE0115900)。
文摘In the grand tapestry of the global energy transition,the quest for scalable hydrogen economies emerges as a pivotal thread,weaving together the dual imperatives of decarbonization and industrial pragmatism.Yet,in its present form,hydrogen production remains deeply entwined with carbon emissions.
基金The research project,“Research on Power Safety Assisted Decision System Based on Large Language Models”(Project Number:JSDL24051414020001)acknowledges with gratitude the financial and logistical support it has received.
文摘The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis.This paper presents an innovative framework,the Intelligent Power Stability and Scheduling(IPSS)System,which is designed to enhance the safety,stability,and economic efficiency of power systems,particularly those integrated with green energy sources.The IPSS System is distinguished by its integration of a CNN-Transformer predictive model,which leverages the strengths of Convolutional Neural Networks(CNN)for local feature extraction and Transformer architecture for global dependency modeling,offering significant potential in power safety diagnostics.TheIPSS System optimizes the economic and stability objectives of the power grid through an improved Zebra Algorithm,which aims tominimize operational costs and grid instability.Theperformance of the predictive model is comprehensively evaluated using key metrics such as Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and Coefficient of Determination(R2).Experimental results demonstrate the superiority of the CNN-Transformer model,with the lowest RMSE and MAE values of 0.0063 and 0.00421,respectively,on the training set,and an R2 value approaching 1,at 0.99635,indicating minimal prediction error and strong data interpretability.On the test set,the model maintains its excellence with the lowest RMSE and MAE values of 0.009 and 0.00673,respectively,and an R2 value of 0.97233.The IPSS System outperforms other models in terms of prediction accuracy and explanatory power and validates its effectiveness in economic and stability analysis through comparative studies with other optimization algorithms.The system’s efficacy is further supported by experimental results,highlighting the proposed scheme’s capability to reduce operational costs and enhance system stability,making it a valuable contribution to the field of green energy systems.
基金funded by the National Key Research and Development Program of China(2024YFE0106800)Natural Science Foundation of Shandong Province(ZR2021ME199).
文摘The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment,hindering the efficient utilization of renewable energy and the low-carbon development of energy systems.To enhance the consumption capacity of green power,the green power system consumption optimization scheduling model(GPS-COSM)is proposed,which comprehensively integrates green power system,electric boiler,combined heat and power unit,thermal energy storage,and electrical energy storage.The optimization objectives are to minimize operating cost,minimize carbon emission,and maximize the consumption of wind and solar curtailment.The multi-objective particle swarm optimization algorithm is employed to solve the model,and a fuzzy membership function is introduced to evaluate the satisfaction level of the Pareto optimal solution set,thereby selecting the optimal compromise solution to achieve a dynamic balance among economic efficiency,environmental friendliness,and energy utilization efficiency.Three typical operating modes are designed for comparative analysis.The results demonstrate that the mode involving the coordinated operation of electric boiler,thermal energy storage,and electrical energy storage performs the best in terms of economic efficiency,environmental friendliness,and renewable energy utilization efficiency,achieving the wind and solar curtailment consumption rate of 99.58%.The application of electric boiler significantly enhances the direct accommodation capacity of the green power system.Thermal energy storage optimizes intertemporal regulation,while electrical energy storage strengthens the system’s dynamic regulation capability.The coordinated optimization of multiple devices significantly reduces reliance on fossil fuels.
文摘Green transplant refers to the realization of the importance of understanding and improving the environmental footprint of transplantation through sustainable practices.This involves assessing the entire transplantation process including preoperative evaluation,donation,organ and patient transportation,surgery,postoperative recovery,and follow-up.This is a topic that has not been fully addressed yet,but its importance is being increasingly appreciated in surgery.The aim of this study was to investigate the carbon footprint associated with transplantation and propose sustainable mitigating solutions.A comprehensive review of the existing literature on transplantation was conducted and supplemented with findings from the broader fields of surgical and perioperative care,given the scarcity of available data.The analysis identified the most involved environmental factors and attempted to offer practical solutions based on current sustainability practices.Notably,no study has yet examined the carbon footprint associated with the entire transplantation procedure.Only five studies have attempted to assess the environmental impact of kidney or liver transplants,but they focused,almost explicitly,on specific steps of the process.By employing an extrapolative methodology from the broader surgical field,we determined that the primary contributors to the environmental impact of transplantation are energy,consumables and materials,anesthesia and pharmaceuticals,transportation,and water.This review offers practical solutions utilizing the 5R framework,emphasizing sustainability to ensure transplantation remains clinically and environmentally relevant.
基金supported by the National Key Research and Development Program of China(No.2024YFD1701101)the Fund for Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA28010503)+2 种基金the National Natural Science Foundation of China(No.31971515)the Fund for National Key Research and Development Plan of China(No.2019YFC1804100)the Fund for Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(No.CAAS-ZDRW202110).
文摘Atrazine,a persistent triazine herbicide,poses environmental and health risks.This study examines the synergis-tic remediation of atrazine-contaminated soil using green manure plant(GMP)hairy vetch(Vicia villosa Roth,VV)and the exogenous atrazine-degrading bacterium Arthrobacter sp.ATR1.Soil samples contaminated with atrazine at 5 and 20 mg/kg were treated with control(CK),ATR1(CKatr),hairy vetch(VV),and combined hairy vetch and ATR1 remediation(VVatr).The results indicated that the VVatr treatment exhibited the most effective atrazine removal,achieving enhancements of 56.12%at 5 mg/kg and 54.51%at 20 mg/kg compared to CK after 28 days.Soil enzyme activities,including urease,sucrase,and alkaline phosphatase,were significantly elevated in the VV and VVatr treatments,contributing to improved soil quality.Additionally,the CKatr,VV,and VVatr treat-ments enhanced bacterial diversity and richness while altering the microbial community structure.The VV and VVatr treatments notably enriched indigenous atrazine-degrading bacteria and nitrogen-fixing bacteria in the rhizosphere.This microbial enrichment upregulated the Atrazine degradation and Nitrogen metabolism pathways,facilitating both atrazine removal and nitrogen cycling in the soil.And VVatr treatment promoted the stability of the microbial network and enhanced the cooperative relationship between key indigenous atrazine-degrading and nitrogen-fixing bacteria.These findings explain the mechanism of plantmicrobe combined remediation of atrazine-contaminated soil from the perspective of rhizosphere microorganisms and offer a theoretical basis for the practical application of this method.
基金supported by National Natural Science Foundation of China(32494793).
文摘Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency,coupled with impractical thicknesses(≥1 mm).Inspired by squid’s skin-peeling mechanism,this work develops a peroxyformic acid(HCOOOH)-enabled precision peeling strategy to isolate intact 10-μm-thick bamboo green(BG)frameworks—100×thinner than wood-based counterparts while achieving an unprecedented optical performance(88%haze with 80%transparency).This performance surpasses delignified biomass(transparency<40%at 1 mm)and matches engineered cellulose composites,yet requires no energy-intensive nanofibrillation.The preserved native cellulose I crystalline structure(64.76%crystallinity)and wax-coated uniaxial fibril alignment(Hermans factor:0.23)contribute to high mechanical strength(903 MPa modulus)and broadband light scattering.As a light-management layer in polycrystalline silicon solar cells,the BG framework boosts photoelectric conversion efficiency by 0.41%absolute(18.74%→19.15%),outperforming synthetic anti-reflective coatings.The work establishes a scalable,waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics.
文摘To deal with a polluted by-product of coal production,central China’s Shanxi Province has explored a governance path that addresses both the symptoms and root causes.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant No.72372048)the“Young Top-Notch Talent”Cultivation Program of Hubei Province.
文摘Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017 city characteristics panel data and monthly CO_(2) emission records,we employ a staggered difference-in-differences(DID)model to assess the impact of bike-sharing on per capita urban CO_(2) emissions.The results show that bike-sharing platforms significantly cut emissions by replacing high-carbon transport and boosting public adoption of shared bikes.This effect is more potent in cities with less stringent environmental enforcement,more advanced digital economies,greater technological innovation,and where two platforms jointly entered.By elucidating the mechanisms underlying bike-sharing’s carbon-reduction potential,this study highlights its role in urban sustainability.It offers policy insights for leveraging shared mobility to reduce city carbon emissions.
文摘Over the past ten years,numerous papers have been published on the use of indocyanine green(ICG)fluorescence in liver surgery for hepatocellular carcinoma(HCC).There are many different applications.The first involves targeting superficial tumors in patients with macronodular cirrhosis and an irregular liver surface.In a minimally invasive setting,the lack of tactile feedback on the hepatic surface makes detecting subcapsular HCC with ultrasound alone challenging.ICG fusion images can mimic the tactile feedback of the hand and act as an ultrasound booster.ICG fluorescence can be used to evaluate tumor residues after minimally invasive thermal ablation.ICG fluorescence imaging can also be used to identify the grade of HCC early on and evaluate the microinvasive component.
