Enhancing the tunneling magneto-Seebeck(TMS) ratio and uncovering its underlying mechanism are greatly demanded in spin caloritronics.The magnitude and sign of the TMS effect depend on the type of atom and the stackin...Enhancing the tunneling magneto-Seebeck(TMS) ratio and uncovering its underlying mechanism are greatly demanded in spin caloritronics.The magnitude and sign of the TMS effect depend on the type of atom and the stacking order of atoms at the interfaces.Herein,we demonstrate that TMS ratios can be effectively manipulated by altering heterogonous or homogeneous interface through decoration on the CoFeSi(001) surface inserted on the MgO insulating layers.The maximum TMS ratio of pure Co_(2)/O termination is 4565% at 800 K.Notably,the TMS ratio of the FeSi/O termination has two peak values,of which the maximum could reach up to-3290% at 650 K.By comparing two different atom arrangements at the interface,we reveal that the sign and symbol of the TMS ratio can be controlled by the temperature and different atomic configurations at the Co_(2)FeSi/MgO interface.Furthermore,the spin-Seebeck coefficient up to ~150 μV/K is also possible when we select suitable terminations and temperatures.These findings will provide useful insights into how to control the sign and symbol of the TMS ratio and accordingly stimulate the development field of magneto-thermoelectric power and spin caloritronic devices based on the magneto-Seebeck effect in Heusler-based metallic multilayers.展开更多
The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among th...The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data integration.This evolution concurrently entails data interchange with other IoT entities.However,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT ecosystem.In this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog integration.Furthermore,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG data.The security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data providers.Compared with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.展开更多
High yield is a major objective for peanut(Arachis hypogaea L.) breeding worldwide. However, fewer yield-related quantitative trait loci(QTL) have been reported in peanut than in other staple food crops such as rice(O...High yield is a major objective for peanut(Arachis hypogaea L.) breeding worldwide. However, fewer yield-related quantitative trait loci(QTL) have been reported in peanut than in other staple food crops such as rice(Oryza sativa), wheat(Triticum aestivum), and maize(Zea mays). This study aimed to identify stable major-effect QTL associated with pod yield per plant, hundred-pod weight for double-seeded pods,hundred-seed weight, shelling percentage, and pod number per plant, allowing us to predict candidate genes by means of transcriptome and genome sequencing. To this end, we used a population of recombinant inbred lines comprising 192 F9:11families derived from a JH6 × KX01-6 cross to construct a highresolution genetic map(1705.7 c M) consisting of 2273 polymorphic SNPs, with 0.75 c M(on average)between adjacent SNPs. We identified two high-confidence, yield-related QTL, qHYF_A08 and qHYF_B06, explaining 5.78%–31.40% of phenotypic variation and with LOD values of 5.10–24.48, in six environments. qHYF_A08 mainly explained the variation in shelling percentage, whereas qHYF_B06explained variation in hundred-pod weight and hundred-seed weight and accounted for 8.77%–31.40%of the variation in effective pod number per plant, pod number per plant, and shelling percentage. We narrowed down qHYF_B06 to an 890-kb interval using an advanced mapping population.Transcriptome and genome analyses revealed that only Arahy.129FS0 and Arahy.3R9A5K in the candidate mapping interval were differentially expressed between JH6 and KX01-6, with substantial structural variations in their promoter and coding regions. Genotypes of 208 peanut accessions determined using a diagnostic CAPS marker suggested that the two haplotypes of Arahy.3R9A5K were highly associated with hundred-seed weight and hundred-pod weight;this diagnostic CAPs marker could therefore be useful for selecting high-yielding lines during peanut breeding. Overall, our results provide valuable information for cloning alleles with favorable effects on peanut yield.展开更多
Diabetes mellitus, a type of chronic metabolic disease, is occurring more frequently and causes severe threats to human health. In vivo, exercise can stimulate skeletal muscle cells to secrete and release myokines int...Diabetes mellitus, a type of chronic metabolic disease, is occurring more frequently and causes severe threats to human health. In vivo, exercise can stimulate skeletal muscle cells to secrete and release myokines into blood circulation, which will participate in metabolism and act on multiple organs or systems. Recently, the relationship between myokines and diabetes mellitus was a hot research topic, and myokines may be potential targets for the diagnosis, monitoring, prevention and treatment of diabetes mellitus. In this review, we elucidated the multiple effects of common myokines in the pathogenesis and therapy of diabetes mellitus, which will provide a theoretical foundation of the mechanism in the positive effects of exercises on humans.展开更多
基金supported by the National Natural Science Foundation of China (Grant No. 12104458)Foshan (Southern China) Institute for New Materials (Grant No. 2021AYF25021)。
文摘Enhancing the tunneling magneto-Seebeck(TMS) ratio and uncovering its underlying mechanism are greatly demanded in spin caloritronics.The magnitude and sign of the TMS effect depend on the type of atom and the stacking order of atoms at the interfaces.Herein,we demonstrate that TMS ratios can be effectively manipulated by altering heterogonous or homogeneous interface through decoration on the CoFeSi(001) surface inserted on the MgO insulating layers.The maximum TMS ratio of pure Co_(2)/O termination is 4565% at 800 K.Notably,the TMS ratio of the FeSi/O termination has two peak values,of which the maximum could reach up to-3290% at 650 K.By comparing two different atom arrangements at the interface,we reveal that the sign and symbol of the TMS ratio can be controlled by the temperature and different atomic configurations at the Co_(2)FeSi/MgO interface.Furthermore,the spin-Seebeck coefficient up to ~150 μV/K is also possible when we select suitable terminations and temperatures.These findings will provide useful insights into how to control the sign and symbol of the TMS ratio and accordingly stimulate the development field of magneto-thermoelectric power and spin caloritronic devices based on the magneto-Seebeck effect in Heusler-based metallic multilayers.
基金supported by the National Key R&D Program of China(No.2022YFB3103400)the National Natural Science Foundation of China under Grants 61932015 and 62172317.
文摘The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data integration.This evolution concurrently entails data interchange with other IoT entities.However,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT ecosystem.In this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog integration.Furthermore,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG data.The security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data providers.Compared with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.
基金jointly supported by the Earmarked Fund for CARS-13the Modern Agricultural Industrial Technology System of Hebei Province (HBCT2018090101 and HBCT2018090201)+3 种基金the Science and Technology Innovation Team of Modern Peanut Seed Industry (21326316D)the Technology Innovation Special Project(2022KJCXZX-LYS-11)the Basic Research Funds of Hebei Academy of Agriculture and Forestry Sciences (2021060201)the Talents Construction Project of Science and Technology Innovation,Hebei Academy of Agriculture and Forestry Sciences (C22R0311)。
文摘High yield is a major objective for peanut(Arachis hypogaea L.) breeding worldwide. However, fewer yield-related quantitative trait loci(QTL) have been reported in peanut than in other staple food crops such as rice(Oryza sativa), wheat(Triticum aestivum), and maize(Zea mays). This study aimed to identify stable major-effect QTL associated with pod yield per plant, hundred-pod weight for double-seeded pods,hundred-seed weight, shelling percentage, and pod number per plant, allowing us to predict candidate genes by means of transcriptome and genome sequencing. To this end, we used a population of recombinant inbred lines comprising 192 F9:11families derived from a JH6 × KX01-6 cross to construct a highresolution genetic map(1705.7 c M) consisting of 2273 polymorphic SNPs, with 0.75 c M(on average)between adjacent SNPs. We identified two high-confidence, yield-related QTL, qHYF_A08 and qHYF_B06, explaining 5.78%–31.40% of phenotypic variation and with LOD values of 5.10–24.48, in six environments. qHYF_A08 mainly explained the variation in shelling percentage, whereas qHYF_B06explained variation in hundred-pod weight and hundred-seed weight and accounted for 8.77%–31.40%of the variation in effective pod number per plant, pod number per plant, and shelling percentage. We narrowed down qHYF_B06 to an 890-kb interval using an advanced mapping population.Transcriptome and genome analyses revealed that only Arahy.129FS0 and Arahy.3R9A5K in the candidate mapping interval were differentially expressed between JH6 and KX01-6, with substantial structural variations in their promoter and coding regions. Genotypes of 208 peanut accessions determined using a diagnostic CAPS marker suggested that the two haplotypes of Arahy.3R9A5K were highly associated with hundred-seed weight and hundred-pod weight;this diagnostic CAPs marker could therefore be useful for selecting high-yielding lines during peanut breeding. Overall, our results provide valuable information for cloning alleles with favorable effects on peanut yield.
文摘Diabetes mellitus, a type of chronic metabolic disease, is occurring more frequently and causes severe threats to human health. In vivo, exercise can stimulate skeletal muscle cells to secrete and release myokines into blood circulation, which will participate in metabolism and act on multiple organs or systems. Recently, the relationship between myokines and diabetes mellitus was a hot research topic, and myokines may be potential targets for the diagnosis, monitoring, prevention and treatment of diabetes mellitus. In this review, we elucidated the multiple effects of common myokines in the pathogenesis and therapy of diabetes mellitus, which will provide a theoretical foundation of the mechanism in the positive effects of exercises on humans.
