Background Lipid metabolism differs significantly between grazing and stall-feeding lambs,affecting the quality of livestock products.As two critical organs of lipid metabolism,the differences between feeding patterns...Background Lipid metabolism differs significantly between grazing and stall-feeding lambs,affecting the quality of livestock products.As two critical organs of lipid metabolism,the differences between feeding patterns on rumen and liver metabolism remain unclear.In this study,16S rRNA,metagenomics,transcriptomics,and untargeted metabolomics were utilized to investigate the key rumen microorganisms and metabolites,as well as liver genes and metabolites associated with fatty acid metabolism under indoor feeding(F)and grazing(G).Results Compared with grazing,indoor feeding increased ruminal propionate content.Using metagenome sequencing in combination with 16S rRNA amplicon sequencing,the results showed that the abundance of propionate-producing Succiniclasticum and hydrogenating bacteria Tenericutes was enriched in the F group.For rumen metabolism,grazing caused up-regulation of EPA,DHA and oleic acid and down-regulation of decanoic acid,as well as,screening for 2-ketobutyric acid as a vital differential metabolite,which was enriched in the propionate metabolism pathway.In the liver,indoor feeding increased 3-hydroxypropanoate and citric acid content,causing changes in propionate metabolism and citrate cycle,while decreasing the ETA content.Then,the liver transcriptome revealed that 11 lipid-related genes were differentially expressed in the two feeding patterns.Correlation analysis showed that the expression of CYP4A6,FADS1,FADS2,ALDH6A1 and CYP2C23 was significantly associated with the propionate metabolism process,suggesting that propionate metabolism may be an important factor mediating the hepatic lipid metabolism.Besides,the unsaturated fatty acids in muscle,rumen and liver also had a close correlation.Conclusions Overall,our data demonstrated that rumen microbial-driven metabolite from grazing lambs potentially regulates multiple hepatic lipid-related genes,ultimately affecting body fatty acid metabolism.展开更多
Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgen...Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research.展开更多
Food safety supervision mechanism is a strong guarantee to promote the smooth implementation of China's food safety laws and regulations,and it is implemented through legal,administrative,economic,moral and other ...Food safety supervision mechanism is a strong guarantee to promote the smooth implementation of China's food safety laws and regulations,and it is implemented through legal,administrative,economic,moral and other integrated policy instruments,as well as media publicity,quality traceability,network tracking,information disclosure and other non-administrative means. Along with strengthening supervision and control means,the people's food safety in China is safeguarded,and the healthy development of the food industry is promoted.展开更多
China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of ne...China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of new energies is the limited flexibility of regulations on power system resources,resulting in insufficient consumption capacity.Thus,the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be considered.In this study,a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system,comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost,and combining renewable energy output characteristics,load forecasting,grid development,and other factors.For the optimization of various flexible resource utilization methods,a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources.A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation,safety,and environmental protection was proposed.Finally,a certain area of Gansu Province was used as an example to perform detailed analysis and calculation,which demonstrated that the model has an optimal effect.This model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.展开更多
The success of the Beijing Winter Olympics and Paralympics epitomized the vision of a community with a shared future for humankind.Various robots and artificial intelligence technologies were used in various games and...The success of the Beijing Winter Olympics and Paralympics epitomized the vision of a community with a shared future for humankind.Various robots and artificial intelligence technologies were used in various games and events,such as assisting in parades,logistics,and security inspections.The integration of unmanned robotic systems into torch relays was one of the highlights of the Winter Olympics.展开更多
Tradable green certificate(TGC)scheme promotes the development of renewable energy industry which currently has a dual effect on economy and environment.TGC market efficiency is reflected in stimulating renewable ener...Tradable green certificate(TGC)scheme promotes the development of renewable energy industry which currently has a dual effect on economy and environment.TGC market efficiency is reflected in stimulating renewable energy investment,but may be reduced by the herding behavior of market players.This paper proposes and simulates an artificial TGC market model which contains heterogeneous agents,communication structure,and regulatory rules to explore the characteristics of herding behavior and its effects on market efficiency.The results show that the evolution of herding behavior reduces information asymmetry and improves market efficiency,especially when the borrowing is allowed.In addition,the fundamental strategy is diffused by herding evolution,but TGC market efficiency may be remarkably reduced by herding with borrowing mechanism.Moreover,the herding behavior may evolve to an equilibrium where the revenue of market players is comparable,thus the fairness in TGC market is improved.展开更多
A long history has passed since electromyography(EMG)signals have been explored in human-centered robots for intuitive interaction.However,it still has a gap between scientific research and real-life applications.Prev...A long history has passed since electromyography(EMG)signals have been explored in human-centered robots for intuitive interaction.However,it still has a gap between scientific research and real-life applications.Previous studies mainly focused on EMG decoding algorithms,leaving a dynamic relationship between the human,robot,and uncertain environment in real-life scenarios seldomly concerned.To fill this gap,this paper presents a comprehensive review of EMG-based techniques in human-robot-environment interaction(HREI)systems.The general processing framework is summarized,and three interaction paradigms,including direct control,sensory feedback,and partial autonomous control,are introduced.EMG-based intention decoding is treated as a module of the proposed paradigms.Five key issues involving precision,stability,user attention,compliance,and environmental awareness in this field are discussed.Several important directions,including EMG decomposition,robust algorithms,HREI dataset,proprioception feedback,reinforcement learning,and embodied intelligence,are proposed to pave the way for future research.To the best of what we know,this is the first time that a review of EMG-based methods in the HREI system is summarized.It provides a novel and broader perspective to improve the practicability of current myoelectric interaction systems,in which factors in human-robot interaction,robot-environment interaction,and state perception by human sensations are considered,which has never been done by previous studies.展开更多
CONSPECTUS:Perylene diimide(PDI)as a classical dye has some advantages,such as structural diversity,tunable optical and electronic properties,strong light absorption,high electron affinity,and good electron-transporti...CONSPECTUS:Perylene diimide(PDI)as a classical dye has some advantages,such as structural diversity,tunable optical and electronic properties,strong light absorption,high electron affinity,and good electron-transporting properties and stability.The PDI-based oligomers and polymers are good candidates for n-type semiconductors in organic electronics and photonic devices.A polymer solar cell(PSC)that converts sunlight into electricity is a promising renewable and clean energy technology and has some superiorities,such as simple preparation and being lightweight,low cost,semitransparent,and flexible.For a long time,fullerene derivatives(e.g.,PCBM)have been the most important electron acceptors used in the active layer of PSCs.However,PCBM suffers from some disadvantages,for example,weak absorption,a large amount of energy loss,and unstable morphology.Compared to PCBM,PDI-based materials present some advantages:intense visible-light absorption;lowest unoccupied molecular orbital(LUMO)energy levels can be modulated to achieve a suitable charge separation driving force and high open-circuit voltage(V_(OC));and the molecular configuration can be adjusted to achieve morphology stability.Thus,PDI-based oligomers and polymers are widely used as electron acceptors in the active layer of PSCs.In addition,PDI-based oligomers and polymers are widely used as n-type semiconductors in other electronic and photonic devices,such as organic field-effect transistors(OFETs),light-emitting diodes,lasers,optical switches,and photodetectors.展开更多
Objective: To describe the different pathological characteristics of congenital basilar invaginations and discuss the surgical treatment of such cases. Methods: A total of 139 patients diagnosed with basilar invaginat...Objective: To describe the different pathological characteristics of congenital basilar invaginations and discuss the surgical treatment of such cases. Methods: A total of 139 patients diagnosed with basilar invaginations underwent surgical treatment from 2008 to 2015. Based on Atul Goel's classification and simultaneous consideration of atlantoaxial dislocation or syringomyelia,the cases were subdivided into four groups. Individualized posterior surgical decompression and/or atlantoaxial reset procedures were performed to correct atlantoaxial dislocation,decompress the brain stem,or resolve syringomyelia. The indications and critical points of each procedure were documented. Results: All 139 patients were surgically treated; 27 patients(19.4%) had underwent at least one decompression surgery previously. On an average,there was gratifying clinical improvement based on the Japanese Orthopaedic Association score analysis.One patient exhibited severe post-operative infection,and the fusion instrument was removed. One patient experienced fracture of internal fixation. Two patients exhibited persistent respiratory symptoms at early stages after the surgery. Four patients felt worse at the latest follow-up. There was no surgical mortality. The poor outcome/morbidity in this series was 5.8%(8/139). Conclusion: The different pathological image characteristics of congenital basilar invaginations based on the presence or absence of syringomyelia and/or atlantoaxial dislocation,reflected the pathological features of complicated basilar invaginations more accurately. Based on these features,different posterior decompression and/or reset procedures,combined with occipitocervical fusion and C1-2 fusion,could be tailored to different patients. These individualized surgeries could reduce surgical complications,decrease morbidity and mortality,and further promote positive outcomes.展开更多
基金funded by the Projects of China Agriculture Research System(CARS-38)Key Subject of Ningxia Province(2018BBF02016)。
文摘Background Lipid metabolism differs significantly between grazing and stall-feeding lambs,affecting the quality of livestock products.As two critical organs of lipid metabolism,the differences between feeding patterns on rumen and liver metabolism remain unclear.In this study,16S rRNA,metagenomics,transcriptomics,and untargeted metabolomics were utilized to investigate the key rumen microorganisms and metabolites,as well as liver genes and metabolites associated with fatty acid metabolism under indoor feeding(F)and grazing(G).Results Compared with grazing,indoor feeding increased ruminal propionate content.Using metagenome sequencing in combination with 16S rRNA amplicon sequencing,the results showed that the abundance of propionate-producing Succiniclasticum and hydrogenating bacteria Tenericutes was enriched in the F group.For rumen metabolism,grazing caused up-regulation of EPA,DHA and oleic acid and down-regulation of decanoic acid,as well as,screening for 2-ketobutyric acid as a vital differential metabolite,which was enriched in the propionate metabolism pathway.In the liver,indoor feeding increased 3-hydroxypropanoate and citric acid content,causing changes in propionate metabolism and citrate cycle,while decreasing the ETA content.Then,the liver transcriptome revealed that 11 lipid-related genes were differentially expressed in the two feeding patterns.Correlation analysis showed that the expression of CYP4A6,FADS1,FADS2,ALDH6A1 and CYP2C23 was significantly associated with the propionate metabolism process,suggesting that propionate metabolism may be an important factor mediating the hepatic lipid metabolism.Besides,the unsaturated fatty acids in muscle,rumen and liver also had a close correlation.Conclusions Overall,our data demonstrated that rumen microbial-driven metabolite from grazing lambs potentially regulates multiple hepatic lipid-related genes,ultimately affecting body fatty acid metabolism.
基金supported in part by the National Natural Science Foundation of China(U181321461773369+2 种基金61903360)the Selfplanned Project of the State Key Laboratory of Robotics(2020-Z12)China Postdoctoral Science Foundation funded project(2019M661155)。
文摘Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research.
基金Supported by Liaoning Science Public Welfare Research Fund(20170046)
文摘Food safety supervision mechanism is a strong guarantee to promote the smooth implementation of China's food safety laws and regulations,and it is implemented through legal,administrative,economic,moral and other integrated policy instruments,as well as media publicity,quality traceability,network tracking,information disclosure and other non-administrative means. Along with strengthening supervision and control means,the people's food safety in China is safeguarded,and the healthy development of the food industry is promoted.
基金the National Natural Science Foundation of China(No.71273088).
文摘China has set carbon emission goals for 2030 and 2060.Renewable energy sources,primarily wind and photovoltaic power,are being considered as the future of power generation.The major limitation to the development of new energies is the limited flexibility of regulations on power system resources,resulting in insufficient consumption capacity.Thus,the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be considered.In this study,a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system,comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost,and combining renewable energy output characteristics,load forecasting,grid development,and other factors.For the optimization of various flexible resource utilization methods,a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources.A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation,safety,and environmental protection was proposed.Finally,a certain area of Gansu Province was used as an example to perform detailed analysis and calculation,which demonstrated that the model has an optimal effect.This model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.
基金This study was supported by the National Natural Science Foundation of China(U22A2067,62103406,61821005,61925307,and 62333007)。
文摘The success of the Beijing Winter Olympics and Paralympics epitomized the vision of a community with a shared future for humankind.Various robots and artificial intelligence technologies were used in various games and events,such as assisting in parades,logistics,and security inspections.The integration of unmanned robotic systems into torch relays was one of the highlights of the Winter Olympics.
基金supported by the Beijing Municipal Social Science Foundation(No.16JDYJB031)the Fundamental Research Funds for the Central Universities(No.2020YJ008).
文摘Tradable green certificate(TGC)scheme promotes the development of renewable energy industry which currently has a dual effect on economy and environment.TGC market efficiency is reflected in stimulating renewable energy investment,but may be reduced by the herding behavior of market players.This paper proposes and simulates an artificial TGC market model which contains heterogeneous agents,communication structure,and regulatory rules to explore the characteristics of herding behavior and its effects on market efficiency.The results show that the evolution of herding behavior reduces information asymmetry and improves market efficiency,especially when the borrowing is allowed.In addition,the fundamental strategy is diffused by herding evolution,but TGC market efficiency may be remarkably reduced by herding with borrowing mechanism.Moreover,the herding behavior may evolve to an equilibrium where the revenue of market players is comparable,thus the fairness in TGC market is improved.
基金supported by the National Key Research and Development Program of China(2022YFF1202500,2022YFF1202502,2022YFB4703200,2023YFB4704700,2023YFB4704702)the National Natural Science Foundation of China(U22A2067,U20A20197,61773369,61903360,92048302,62203430)+1 种基金the Self-Planned Project of the State Key Laboratory of Robotics(2023-Z05)China Postdoctoral Science Foundation funded project(2022M723312)。
文摘A long history has passed since electromyography(EMG)signals have been explored in human-centered robots for intuitive interaction.However,it still has a gap between scientific research and real-life applications.Previous studies mainly focused on EMG decoding algorithms,leaving a dynamic relationship between the human,robot,and uncertain environment in real-life scenarios seldomly concerned.To fill this gap,this paper presents a comprehensive review of EMG-based techniques in human-robot-environment interaction(HREI)systems.The general processing framework is summarized,and three interaction paradigms,including direct control,sensory feedback,and partial autonomous control,are introduced.EMG-based intention decoding is treated as a module of the proposed paradigms.Five key issues involving precision,stability,user attention,compliance,and environmental awareness in this field are discussed.Several important directions,including EMG decomposition,robust algorithms,HREI dataset,proprioception feedback,reinforcement learning,and embodied intelligence,are proposed to pave the way for future research.To the best of what we know,this is the first time that a review of EMG-based methods in the HREI system is summarized.It provides a novel and broader perspective to improve the practicability of current myoelectric interaction systems,in which factors in human-robot interaction,robot-environment interaction,and state perception by human sensations are considered,which has never been done by previous studies.
基金This work was supported by the National Key Research and Development Program of China(2020YFB1506400).
文摘CONSPECTUS:Perylene diimide(PDI)as a classical dye has some advantages,such as structural diversity,tunable optical and electronic properties,strong light absorption,high electron affinity,and good electron-transporting properties and stability.The PDI-based oligomers and polymers are good candidates for n-type semiconductors in organic electronics and photonic devices.A polymer solar cell(PSC)that converts sunlight into electricity is a promising renewable and clean energy technology and has some superiorities,such as simple preparation and being lightweight,low cost,semitransparent,and flexible.For a long time,fullerene derivatives(e.g.,PCBM)have been the most important electron acceptors used in the active layer of PSCs.However,PCBM suffers from some disadvantages,for example,weak absorption,a large amount of energy loss,and unstable morphology.Compared to PCBM,PDI-based materials present some advantages:intense visible-light absorption;lowest unoccupied molecular orbital(LUMO)energy levels can be modulated to achieve a suitable charge separation driving force and high open-circuit voltage(V_(OC));and the molecular configuration can be adjusted to achieve morphology stability.Thus,PDI-based oligomers and polymers are widely used as electron acceptors in the active layer of PSCs.In addition,PDI-based oligomers and polymers are widely used as n-type semiconductors in other electronic and photonic devices,such as organic field-effect transistors(OFETs),light-emitting diodes,lasers,optical switches,and photodetectors.
基金funded by Construction Project of National Clinical Key Specialties of People’s Republic of China(Ministry of Health of People’s Republic of China 873(2011))the Capital Health Researchand Development of Special 2014-2-8011
文摘Objective: To describe the different pathological characteristics of congenital basilar invaginations and discuss the surgical treatment of such cases. Methods: A total of 139 patients diagnosed with basilar invaginations underwent surgical treatment from 2008 to 2015. Based on Atul Goel's classification and simultaneous consideration of atlantoaxial dislocation or syringomyelia,the cases were subdivided into four groups. Individualized posterior surgical decompression and/or atlantoaxial reset procedures were performed to correct atlantoaxial dislocation,decompress the brain stem,or resolve syringomyelia. The indications and critical points of each procedure were documented. Results: All 139 patients were surgically treated; 27 patients(19.4%) had underwent at least one decompression surgery previously. On an average,there was gratifying clinical improvement based on the Japanese Orthopaedic Association score analysis.One patient exhibited severe post-operative infection,and the fusion instrument was removed. One patient experienced fracture of internal fixation. Two patients exhibited persistent respiratory symptoms at early stages after the surgery. Four patients felt worse at the latest follow-up. There was no surgical mortality. The poor outcome/morbidity in this series was 5.8%(8/139). Conclusion: The different pathological image characteristics of congenital basilar invaginations based on the presence or absence of syringomyelia and/or atlantoaxial dislocation,reflected the pathological features of complicated basilar invaginations more accurately. Based on these features,different posterior decompression and/or reset procedures,combined with occipitocervical fusion and C1-2 fusion,could be tailored to different patients. These individualized surgeries could reduce surgical complications,decrease morbidity and mortality,and further promote positive outcomes.