Vehicular fog computing(VFC)has been envisioned as an important application of fog computing in vehicular networks.Parked vehicles with embedded computation resources could be exploited as a supplement for VFC.They co...Vehicular fog computing(VFC)has been envisioned as an important application of fog computing in vehicular networks.Parked vehicles with embedded computation resources could be exploited as a supplement for VFC.They cooperate with fog servers to process offloading requests at the vehicular network edge,leading to a new paradigm called parked vehicle assisted fog computing(PVFC).However,each coin has two sides.There is a follow-up challenging issue in the distributed and trustless computing environment.The centralized computation offloading without tamper-proof audit causes security threats.It could not guard against false-reporting,free-riding behaviors,spoofing attacks and repudiation attacks.Thus,we leverage the blockchain technology to achieve decentralized PVFC.Request posting,workload undertaking,task evaluation and reward assignment are organized and validated automatically through smart contract executions.Network activities in computation offloading become transparent,verifiable and traceable to eliminate security risks.To this end,we introduce network entities and design interactive smart contract operations across them.The optimal smart contract design problem is formulated and solved within the Stackelberg game framework to minimize the total payments for users.Security analysis and extensive numerical results are provided to demonstrate that our scheme has high security and efficiency guarantee.展开更多
Internet of Vehicles(IoV)is a new style of vehicular ad hoc network that is used to connect the sensors of each vehicle with each other and with other vehicles’sensors through the internet.These sensors generate diff...Internet of Vehicles(IoV)is a new style of vehicular ad hoc network that is used to connect the sensors of each vehicle with each other and with other vehicles’sensors through the internet.These sensors generate different tasks that should be analyzed and processed in some given period of time.They send the tasks to the cloud servers but these sending operations increase bandwidth consumption and latency.Fog computing is a simple cloud at the network edge that is used to process the jobs in a short period of time instead of sending them to cloud computing facilities.In some situations,fog computing cannot execute some tasks due to lack of resources.Thus,in these situations it transfers them to cloud computing that leads to an increase in latency and bandwidth occupation again.Moreover,several fog servers may be fuelled while other servers are empty.This implies an unfair distribution of jobs.In this research study,we shall merge the software defined network(SDN)with IoV and fog computing and use the parked vehicle as assistant fog computing node.This can improve the capabilities of the fog computing layer and help in decreasing the number of migrated tasks to the cloud servers.This increases the ratio of time sensitive tasks that meet the deadline.In addition,a new load balancing strategy is proposed.It works proactively to balance the load locally and globally by the local fog managers and SDN controller,respectively.The simulation experiments show that the proposed system is more efficient than VANET-Fog-Cloud and IoV-Fog-Cloud frameworks in terms of average response time and percentage of bandwidth consumption,meeting the deadline,and resource utilization.展开更多
In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon syner...In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation ofmulti-energy parks.Themethod integratesmultienergy complementary scheduling with a tiered carbon trading mechanism to balance operational security,economic efficiency,and environmental objectives.A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment,including photovoltaic systems,ground-source heat pumps,thermal storage electric boilers,combined heat and power units,and electrical energy storage systems.Furthermore,a tiered carbon trading model is established that incorporates carbon quota allocation and tiered carbon pricing to internalize carbon costs and discourage high-emission practices.Multi-scenario comparative analyses demonstrate that the electricity-carbon synergy scenario achieves a 42.64%reduction in carbon emissions compared to economy-oriented operation,while limiting the increase in operational costs to 20.85%.The carbon-prioritized scenario further reduces emissions by 9.7%,underscoring the inhibitory effect of the tiered carbon pricing mechanism on highcarbon activities.Sensitivity analyses confirm the model’s robustness against fluctuations in energy load,uncertainty in renewable generation,and variations in carbon price.This optimization method provides theoretical support for multi-energy coordinated scheduling and carbon responsibility allocation in industrial parks,offering valuable insights for promoting green transformation initiatives.展开更多
In an era of profound changes to global trade,food security,and industrial organization,the ChinaIndonesia“Two Countries,Twin Parks”initiative has emerged as a strategic experiment with farreaching implications.Anch...In an era of profound changes to global trade,food security,and industrial organization,the ChinaIndonesia“Two Countries,Twin Parks”initiative has emerged as a strategic experiment with farreaching implications.Anchored in marine protein processing and advanced food manufacturing,this collaboration reflects not only a convergence of economic interests but also a deliberate rethinking of how China engages with global resources,technology,and partners.展开更多
DJ-1,also known as Parkinson’s disease protein 7(PARK7),is a multifunctional protein that plays an important role in oxidative stress regulation and neuroprotection.Previous studies have shown that DJ-1 affects early...DJ-1,also known as Parkinson’s disease protein 7(PARK7),is a multifunctional protein that plays an important role in oxidative stress regulation and neuroprotection.Previous studies have shown that DJ-1 affects early-onset Parkinson’s disease by regulating neuroinflammation,but its specific mechanism remains unclear.The study investigated the role of DJ-1 in mediating microglia-neuron communication to identify potential therapeutic targets for neuroinflammation in Parkinson’s disease.In this study,we observed a significant decrease in the levels of C-X3-C motif chemokine ligand 1(CX3CL1)in Park7 knockout mice and SH-SY5Y cells with Park7 knockdown.Protein microarray analysis and validation using GEO datasets confirmed that knockout of the Park7 gene led to downregulation of CX3CL1 and two other chemokines,namely monocyte chemoattractant protein-1 and interleukin-8.Further investigation revealed that Park7 deficiency reduced the processing of a disintegrin and metalloproteinase domain-containing protein 10(ADAM10)in the neuronal endoplasmic reticulum of both mice and SH-SY5Y cells,thereby decreasing CX3CL1 secretion.This subsequently led to abnormal microglial activation,with a shift toward the proinflammatory M1 phenotype,exacerbating neuroinflammatory responses.These effects were mitigated by exogenous CX3CL1 administration.Concurrently,exogenous CX3CL1 improved motor function in Parkinson’s disease model mice with the Park7 knockout,promoting survival of tyrosine hydroxylase-positive neurons in the substantia nigra and reducing Iba-1-positive microglial activation.These findings demonstrate that DJ-1 exerts neuroprotective effects on dopaminergic neurons by suppressing microglial activation through CX3CL1 regulation,suggesting that targeting the DJ-1/CX3CL1 axis may represent a novel therapeutic strategy for modulating neuroinflammation and protecting dopaminergic neurons.展开更多
Conversation A(in the coffee shop)Zach:What are you doing,Emily?I'm planning an event.I'm calling it“Neighborhood Snow Party!”Emily:Zach:Fun!When is it?It's this Saturday,January 31st.What's the time...Conversation A(in the coffee shop)Zach:What are you doing,Emily?I'm planning an event.I'm calling it“Neighborhood Snow Party!”Emily:Zach:Fun!When is it?It's this Saturday,January 31st.What's the time and place?It's from 10 a.m.to 4 p.m.at Emily:Zach:Emily:Green Hill Park.Zach:I can go!展开更多
海上风电交流送出场景下,长距离交流海缆并网使得背景谐波放大问题突出,为此研究了基于静止无功发生器(static var generator,SVG)附加控制的长距离交流海缆送出海上风电场群(offshore wind farms with long-distance ac submarine cabl...海上风电交流送出场景下,长距离交流海缆并网使得背景谐波放大问题突出,为此研究了基于静止无功发生器(static var generator,SVG)附加控制的长距离交流海缆送出海上风电场群(offshore wind farms with long-distance ac submarine cable,OWFs-LACSC)背景谐波抑制策略。首先,分析了OWFs-LACSC背景谐波放大的原理,论述了背景谐波放大与谐振的区别;然后,建立了含SVG和直驱风机的OWFs-LACSC阻抗模型,提出利用Park变换的基频偏移特性可实现单通道抑制两种背景谐波,进而结合这一特性和阻性有源滤波原理,在SVG控制环路中附加控制器,并分析了附加控制的参数可行域;最后,利用国内某OWFs-LACSC模型开展仿真,验证了所提策略的可行性与鲁棒性。展开更多
With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration wi...With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.展开更多
基金supported in part by the National Natural Science Foundation of China(61971148)the Science and Technology Program of Guangdong Province(2015B010129001)+2 种基金the Natural Science Foundation of Guangxi Province(2018GXNSFDA281013)the Foundation for Science and Technology Project of Guilin City(20190214-3)the Key Science and Technology Project of Guangxi(AA18242021)
文摘Vehicular fog computing(VFC)has been envisioned as an important application of fog computing in vehicular networks.Parked vehicles with embedded computation resources could be exploited as a supplement for VFC.They cooperate with fog servers to process offloading requests at the vehicular network edge,leading to a new paradigm called parked vehicle assisted fog computing(PVFC).However,each coin has two sides.There is a follow-up challenging issue in the distributed and trustless computing environment.The centralized computation offloading without tamper-proof audit causes security threats.It could not guard against false-reporting,free-riding behaviors,spoofing attacks and repudiation attacks.Thus,we leverage the blockchain technology to achieve decentralized PVFC.Request posting,workload undertaking,task evaluation and reward assignment are organized and validated automatically through smart contract executions.Network activities in computation offloading become transparent,verifiable and traceable to eliminate security risks.To this end,we introduce network entities and design interactive smart contract operations across them.The optimal smart contract design problem is formulated and solved within the Stackelberg game framework to minimize the total payments for users.Security analysis and extensive numerical results are provided to demonstrate that our scheme has high security and efficiency guarantee.
文摘Internet of Vehicles(IoV)is a new style of vehicular ad hoc network that is used to connect the sensors of each vehicle with each other and with other vehicles’sensors through the internet.These sensors generate different tasks that should be analyzed and processed in some given period of time.They send the tasks to the cloud servers but these sending operations increase bandwidth consumption and latency.Fog computing is a simple cloud at the network edge that is used to process the jobs in a short period of time instead of sending them to cloud computing facilities.In some situations,fog computing cannot execute some tasks due to lack of resources.Thus,in these situations it transfers them to cloud computing that leads to an increase in latency and bandwidth occupation again.Moreover,several fog servers may be fuelled while other servers are empty.This implies an unfair distribution of jobs.In this research study,we shall merge the software defined network(SDN)with IoV and fog computing and use the parked vehicle as assistant fog computing node.This can improve the capabilities of the fog computing layer and help in decreasing the number of migrated tasks to the cloud servers.This increases the ratio of time sensitive tasks that meet the deadline.In addition,a new load balancing strategy is proposed.It works proactively to balance the load locally and globally by the local fog managers and SDN controller,respectively.The simulation experiments show that the proposed system is more efficient than VANET-Fog-Cloud and IoV-Fog-Cloud frameworks in terms of average response time and percentage of bandwidth consumption,meeting the deadline,and resource utilization.
基金supported by Technology Project of State Grid Tianjin Electric Power Company(2024-06)“Research on hierarchical partition dynamic calculation and panoramic monitoring technology of electric power carbon emission and its application”.
文摘In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation ofmulti-energy parks.Themethod integratesmultienergy complementary scheduling with a tiered carbon trading mechanism to balance operational security,economic efficiency,and environmental objectives.A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment,including photovoltaic systems,ground-source heat pumps,thermal storage electric boilers,combined heat and power units,and electrical energy storage systems.Furthermore,a tiered carbon trading model is established that incorporates carbon quota allocation and tiered carbon pricing to internalize carbon costs and discourage high-emission practices.Multi-scenario comparative analyses demonstrate that the electricity-carbon synergy scenario achieves a 42.64%reduction in carbon emissions compared to economy-oriented operation,while limiting the increase in operational costs to 20.85%.The carbon-prioritized scenario further reduces emissions by 9.7%,underscoring the inhibitory effect of the tiered carbon pricing mechanism on highcarbon activities.Sensitivity analyses confirm the model’s robustness against fluctuations in energy load,uncertainty in renewable generation,and variations in carbon price.This optimization method provides theoretical support for multi-energy coordinated scheduling and carbon responsibility allocation in industrial parks,offering valuable insights for promoting green transformation initiatives.
文摘In an era of profound changes to global trade,food security,and industrial organization,the ChinaIndonesia“Two Countries,Twin Parks”initiative has emerged as a strategic experiment with farreaching implications.Anchored in marine protein processing and advanced food manufacturing,this collaboration reflects not only a convergence of economic interests but also a deliberate rethinking of how China engages with global resources,technology,and partners.
基金National Natural Science Foundation of China,Nos.82471264(to YL),82201392(to AZ),82071415(to JL)Shanghai Rising Stars of Medical Talents Youth Development Program,No.2023-62(to YL)+2 种基金the Shanghai Municipal Health Commission Clinical Research Special Fund for the Health Industry,No.20234Y0026(to YL)the Shanghai Sailing Program,No.22YF1425100(to AZ)Chinese Postdoctoral Science Foundation,No.2021M702169(to YJ).
文摘DJ-1,also known as Parkinson’s disease protein 7(PARK7),is a multifunctional protein that plays an important role in oxidative stress regulation and neuroprotection.Previous studies have shown that DJ-1 affects early-onset Parkinson’s disease by regulating neuroinflammation,but its specific mechanism remains unclear.The study investigated the role of DJ-1 in mediating microglia-neuron communication to identify potential therapeutic targets for neuroinflammation in Parkinson’s disease.In this study,we observed a significant decrease in the levels of C-X3-C motif chemokine ligand 1(CX3CL1)in Park7 knockout mice and SH-SY5Y cells with Park7 knockdown.Protein microarray analysis and validation using GEO datasets confirmed that knockout of the Park7 gene led to downregulation of CX3CL1 and two other chemokines,namely monocyte chemoattractant protein-1 and interleukin-8.Further investigation revealed that Park7 deficiency reduced the processing of a disintegrin and metalloproteinase domain-containing protein 10(ADAM10)in the neuronal endoplasmic reticulum of both mice and SH-SY5Y cells,thereby decreasing CX3CL1 secretion.This subsequently led to abnormal microglial activation,with a shift toward the proinflammatory M1 phenotype,exacerbating neuroinflammatory responses.These effects were mitigated by exogenous CX3CL1 administration.Concurrently,exogenous CX3CL1 improved motor function in Parkinson’s disease model mice with the Park7 knockout,promoting survival of tyrosine hydroxylase-positive neurons in the substantia nigra and reducing Iba-1-positive microglial activation.These findings demonstrate that DJ-1 exerts neuroprotective effects on dopaminergic neurons by suppressing microglial activation through CX3CL1 regulation,suggesting that targeting the DJ-1/CX3CL1 axis may represent a novel therapeutic strategy for modulating neuroinflammation and protecting dopaminergic neurons.
文摘Conversation A(in the coffee shop)Zach:What are you doing,Emily?I'm planning an event.I'm calling it“Neighborhood Snow Party!”Emily:Zach:Fun!When is it?It's this Saturday,January 31st.What's the time and place?It's from 10 a.m.to 4 p.m.at Emily:Zach:Emily:Green Hill Park.Zach:I can go!
文摘海上风电交流送出场景下,长距离交流海缆并网使得背景谐波放大问题突出,为此研究了基于静止无功发生器(static var generator,SVG)附加控制的长距离交流海缆送出海上风电场群(offshore wind farms with long-distance ac submarine cable,OWFs-LACSC)背景谐波抑制策略。首先,分析了OWFs-LACSC背景谐波放大的原理,论述了背景谐波放大与谐振的区别;然后,建立了含SVG和直驱风机的OWFs-LACSC阻抗模型,提出利用Park变换的基频偏移特性可实现单通道抑制两种背景谐波,进而结合这一特性和阻性有源滤波原理,在SVG控制环路中附加控制器,并分析了附加控制的参数可行域;最后,利用国内某OWFs-LACSC模型开展仿真,验证了所提策略的可行性与鲁棒性。
基金Under the auspices of National Natural Science Foundation of China(No.42330510)。
文摘With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.
