[Objective] The paper aims to provide references to cultivate I.galbana in a large scale and explore its medical value.[Method] I.galbana had been cultivated in different light-path flat plate bioreactors,and the grow...[Objective] The paper aims to provide references to cultivate I.galbana in a large scale and explore its medical value.[Method] I.galbana had been cultivated in different light-path flat plate bioreactors,and the growth condition and content of organic matter within cells of I.galbana had been analyzed.[Result] Growth rate and volumetric productivity of I.galbana cells increased as light-path of flat plate bioreactors decreased,however,daily areal output rate rose with the increasing of light path.The smaller the light path of flat plate bioreactors was,the more content of total lipids,protein and polysaccharide it had in I.galbana cells.[Conclusion] It is an effective way to improve production efficiently and reduce the cost by selecting the suitable bioreactors.展开更多
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
Effects of heavy metals on Isochrysis galbana (Parke ) were studied in our laboratory. The research focused on toxic effects of metals on algal cells, effects of water-soluble and lipid-soluble organic ligands on meta...Effects of heavy metals on Isochrysis galbana (Parke ) were studied in our laboratory. The research focused on toxic effects of metals on algal cells, effects of water-soluble and lipid-soluble organic ligands on metal toxicity and processes of metal uptake by cells. Interactions between two metals and the mechanisms involved were also studied in detail. Finally, some relationships between toxicity and chemical property of metals were revealed.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
A new production line has officially started operating at a green energy industrial park in the Shanxi Yungang Economic Development Zone.Tens of thousands of hair-thin black filaments flow uniformly like gleaming dark...A new production line has officially started operating at a green energy industrial park in the Shanxi Yungang Economic Development Zone.Tens of thousands of hair-thin black filaments flow uniformly like gleaming dark rivers from the winding machines.The Institute of Coal Chemistry of the Chinese Academy of Sciences(CAS)developed T1000-grade high-performance carbon fiber here,and it has fully independent intellectual property rights.“It took us 20 years to go from having‘no grain to cook’to achieving‘high-end iteration,’”said Zhang Shouchun,Deputy Director of the Institute of Coal Chemistry,CAS,and project leader.Behind this striking black thread lies an arduous,persistent campaign of material innovation.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
Previous studies aiming to accelerate data processing have focused on enhancement algorithms,using the graphics processing unit(GPU)to speed up programs,and thread-level parallelism.These methods overlook maximizing t...Previous studies aiming to accelerate data processing have focused on enhancement algorithms,using the graphics processing unit(GPU)to speed up programs,and thread-level parallelism.These methods overlook maximizing the utilization of existing central processing unit(CPU)resources and reducing human and computational time costs via process automation.Accordingly,this paper proposes a scheme,called SSM,that combines“Srun job submission mode”,“Sbatch job submission mode”,and“Monitor function”.The SSM scheme includes three main modules:data management,command management,and resource management.Its core innovations are command splitting and parallel execution.The results show that this method effectively improves CPU utilization and reduces the time required for data processing.In terms of CPU utilization,the average value of this scheme is 89%.In contrast,the average CPU utilizations of“Srun job submission mode”and“Sbatch job submission mode”are significantly lower,at 43%and 52%,respectively.In terms of the data-processing time,SSM testing on the Five-hundred-meter Aperture Spherical radio Telescope(FAST)data requires only 5.5 h,compared with 8 h in the“Srun job submission mode”and 14 h in the“Sbatch job submission mode”.In addition,tests on the FAST and Parkes datasets demonstrate the universality of the SSM scheme,which can process data from different telescopes.The compatibility of the SSM scheme for pulsar searches is verified using 2 days of observational data from the globular cluster M2,with the scheme successfully discovering all published pulsars in M2.展开更多
基金Supported by National Ministry of Science and Technology Marine‘863’Marine Life Technology Plan Project(2008AA09Z403)Shangdong High School Technological Plan Project(J05I03)~~
文摘[Objective] The paper aims to provide references to cultivate I.galbana in a large scale and explore its medical value.[Method] I.galbana had been cultivated in different light-path flat plate bioreactors,and the growth condition and content of organic matter within cells of I.galbana had been analyzed.[Result] Growth rate and volumetric productivity of I.galbana cells increased as light-path of flat plate bioreactors decreased,however,daily areal output rate rose with the increasing of light path.The smaller the light path of flat plate bioreactors was,the more content of total lipids,protein and polysaccharide it had in I.galbana cells.[Conclusion] It is an effective way to improve production efficiently and reduce the cost by selecting the suitable bioreactors.
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This paper was published in Chinese in Acta Scientiae Circumstautiae,8(2),1988
文摘Effects of heavy metals on Isochrysis galbana (Parke ) were studied in our laboratory. The research focused on toxic effects of metals on algal cells, effects of water-soluble and lipid-soluble organic ligands on metal toxicity and processes of metal uptake by cells. Interactions between two metals and the mechanisms involved were also studied in detail. Finally, some relationships between toxicity and chemical property of metals were revealed.
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.
文摘A new production line has officially started operating at a green energy industrial park in the Shanxi Yungang Economic Development Zone.Tens of thousands of hair-thin black filaments flow uniformly like gleaming dark rivers from the winding machines.The Institute of Coal Chemistry of the Chinese Academy of Sciences(CAS)developed T1000-grade high-performance carbon fiber here,and it has fully independent intellectual property rights.“It took us 20 years to go from having‘no grain to cook’to achieving‘high-end iteration,’”said Zhang Shouchun,Deputy Director of the Institute of Coal Chemistry,CAS,and project leader.Behind this striking black thread lies an arduous,persistent campaign of material innovation.
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!
基金supported by the National Nature Science Foundation of China(12363010)supported by the Guizhou Provincial Basic Research Program(Natural Science)(ZK[2023]039)the Key Technology R&D Program([2023]352).
文摘Previous studies aiming to accelerate data processing have focused on enhancement algorithms,using the graphics processing unit(GPU)to speed up programs,and thread-level parallelism.These methods overlook maximizing the utilization of existing central processing unit(CPU)resources and reducing human and computational time costs via process automation.Accordingly,this paper proposes a scheme,called SSM,that combines“Srun job submission mode”,“Sbatch job submission mode”,and“Monitor function”.The SSM scheme includes three main modules:data management,command management,and resource management.Its core innovations are command splitting and parallel execution.The results show that this method effectively improves CPU utilization and reduces the time required for data processing.In terms of CPU utilization,the average value of this scheme is 89%.In contrast,the average CPU utilizations of“Srun job submission mode”and“Sbatch job submission mode”are significantly lower,at 43%and 52%,respectively.In terms of the data-processing time,SSM testing on the Five-hundred-meter Aperture Spherical radio Telescope(FAST)data requires only 5.5 h,compared with 8 h in the“Srun job submission mode”and 14 h in the“Sbatch job submission mode”.In addition,tests on the FAST and Parkes datasets demonstrate the universality of the SSM scheme,which can process data from different telescopes.The compatibility of the SSM scheme for pulsar searches is verified using 2 days of observational data from the globular cluster M2,with the scheme successfully discovering all published pulsars in M2.
