Federated Learning(FL)provides an effective framework for efficient processing in vehicular edge computing.However,the dynamic and uncertain communication environment,along with the performance variations of vehicular...Federated Learning(FL)provides an effective framework for efficient processing in vehicular edge computing.However,the dynamic and uncertain communication environment,along with the performance variations of vehicular devices,affect the distribution and uploading processes of model parameters.In FL-assisted Internet of Vehicles(IoV)scenarios,challenges such as data heterogeneity,limited device resources,and unstable communication environments become increasingly prominent.These issues necessitate intelligent vehicle selection schemes to enhance training efficiency.Given this context,we propose a new scenario involving FL-assisted IoV systems under dynamic and uncertain communication conditions,and develop a dynamic interval multi-objective optimization algorithm to jointly optimize various factors including training experiments,system energy consumption,and bandwidth utilization to meet multi-criteria resource optimization requirements.For the problem at hand,we design a dynamic interval multi-objective optimization algorithm based on interval overlap detection.Simulation results demonstrate that our method outperforms other solutions in terms of accuracy,training cost,and server utilization.It effectively enhances training efficiency under wireless channel environments while rationally utilizing bandwidth resources,thus possessing significant scientific value and application potential in the field of IoV.展开更多
Flowering time is a key agronomic trait that directly affect the adaptation and yield of soybean.After whole genome duplications,about 75%of genes being represented by multiple copies in soybean.There are four TERMINA...Flowering time is a key agronomic trait that directly affect the adaptation and yield of soybean.After whole genome duplications,about 75%of genes being represented by multiple copies in soybean.There are four TERMINAL FLOWER 1(TFL1)genes in soybean,and the TFL1b(Dt1)has been characterized as the determinant of stem growth habit.The function of other TFL1 homologs in soybean is still unclear.Here,we generated knockout mutants by CRISPR/Cas9 genome editing technology and found that the tfl1c/tfl1d double mutants flowered significantly earlier than wild-type plants.We investigated that TFL1c and TFL1d could physically interact with the b ZIP transcription factor FDc1 and bind to the promoter of APETALA1a(AP1a).RNA-seq and q RT-PCR analyses indicated that TFL1c and TFL1d repressed the expressions of the four AP1 homologs and delayed the flowering time in soybean.The two genes play important roles in the regulation of flowering time in soybean and mainly act as the flowering inhibitors under long-day conditions.Our results identify novel components in the flowering-time regulation network of soybean and will be invaluable for molecular breeding of improved soybean yield.展开更多
Meniscus is a crescent-shaped fibrocartilage tissue for providing structural congruence and absorbing mechanical forces.Currently,the development of material-guided regeneration medicine strategy has emerged as a prom...Meniscus is a crescent-shaped fibrocartilage tissue for providing structural congruence and absorbing mechanical forces.Currently,the development of material-guided regeneration medicine strategy has emerged as a prom-ising alternative for meniscus treatment.However,it often presents more complex pathological conditions of immune-inflammatory responses,and thus inevitably causes a harsh microenvironment that extremely hinders fibrocartilage regeneration.Therefore,there is an urgent need to develop bioactive materials to achieve carti-laginous immunomodulatory throughout the whole regenerative periods.In this study,we develop a novel dynamic-covalent hybrid(DCH)hydrogel with cartilaginous immune microenvironment(CIME)to temporally regulate meniscus regeneration.By combining dynamic boronic ester crosslinking and covalent photo-polymerization reactions,DCH hydrogels exhibit favorable injectability,self-healing,and tissue adhesion properties for practical operation.Furthermore,CIME is successfully created by the introduction of a temporally on-demand regulatory system:naproxen anti-inflammatory drugs are preferentially released to regulate M1/M2 macrophage polarization through PI3K/Akt/mTOR signaling pathway at early stage,while TGFβ3/CTGF growth factors are on-demand released to promote fibrochondrogenic differentiation of stem cells in the post-regulatory microenvironment at later stage.Finally,in vivo experiments demonstrate the satisfactory repair of meniscus cartilage defects in rabbits by activating the endogenous repair of stem cells homing based on our established cartilaginous immunomodulatory strategy.展开更多
基金supported in part by the Central Guidance for Local Science and Technology Development Funds under Grant No.YDZJSX2025D049Shanxi Provincial Graduate Innovation Research Program under Grant No.2024KY652.
文摘Federated Learning(FL)provides an effective framework for efficient processing in vehicular edge computing.However,the dynamic and uncertain communication environment,along with the performance variations of vehicular devices,affect the distribution and uploading processes of model parameters.In FL-assisted Internet of Vehicles(IoV)scenarios,challenges such as data heterogeneity,limited device resources,and unstable communication environments become increasingly prominent.These issues necessitate intelligent vehicle selection schemes to enhance training efficiency.Given this context,we propose a new scenario involving FL-assisted IoV systems under dynamic and uncertain communication conditions,and develop a dynamic interval multi-objective optimization algorithm to jointly optimize various factors including training experiments,system energy consumption,and bandwidth utilization to meet multi-criteria resource optimization requirements.For the problem at hand,we design a dynamic interval multi-objective optimization algorithm based on interval overlap detection.Simulation results demonstrate that our method outperforms other solutions in terms of accuracy,training cost,and server utilization.It effectively enhances training efficiency under wireless channel environments while rationally utilizing bandwidth resources,thus possessing significant scientific value and application potential in the field of IoV.
基金supported by the National Natural Science Foundation of China(32022062,32001503)the Science and Technology Innovation Team of Soybean Modern Seed Industry in Hebei(21326313D)。
文摘Flowering time is a key agronomic trait that directly affect the adaptation and yield of soybean.After whole genome duplications,about 75%of genes being represented by multiple copies in soybean.There are four TERMINAL FLOWER 1(TFL1)genes in soybean,and the TFL1b(Dt1)has been characterized as the determinant of stem growth habit.The function of other TFL1 homologs in soybean is still unclear.Here,we generated knockout mutants by CRISPR/Cas9 genome editing technology and found that the tfl1c/tfl1d double mutants flowered significantly earlier than wild-type plants.We investigated that TFL1c and TFL1d could physically interact with the b ZIP transcription factor FDc1 and bind to the promoter of APETALA1a(AP1a).RNA-seq and q RT-PCR analyses indicated that TFL1c and TFL1d repressed the expressions of the four AP1 homologs and delayed the flowering time in soybean.The two genes play important roles in the regulation of flowering time in soybean and mainly act as the flowering inhibitors under long-day conditions.Our results identify novel components in the flowering-time regulation network of soybean and will be invaluable for molecular breeding of improved soybean yield.
基金the National Key Research and Development Program of China(2024YFA1107800)the Henan Provincial Science and Technology Research and Development Joint Fund(Industrial)(No.235101610001)+5 种基金the Open Research Fund of Tissue Engineering and Regenerative Clinical Medical Center of Xin-xiang Medical University(No.2024SFYKFKT07)the Key Research and Development and Promotion Special(Science and Technology)Project of Henan Province(No.242102310321)National Natural Science Foundation of China(32430060,82472172,82402931,82102227)Biomaterials and Regenerative Medicine Institute Cooperative Research Project of Shanghai Jiaotong University School of Medicine(2022LHA07)Cross Research Fund Project of the Ninth People’s Hos-pital,Shanghai Jiaotong University School of Medicine(JYJC202302)Shanghai Municipal Key Clinical Specialty(shslczdzk06601).
文摘Meniscus is a crescent-shaped fibrocartilage tissue for providing structural congruence and absorbing mechanical forces.Currently,the development of material-guided regeneration medicine strategy has emerged as a prom-ising alternative for meniscus treatment.However,it often presents more complex pathological conditions of immune-inflammatory responses,and thus inevitably causes a harsh microenvironment that extremely hinders fibrocartilage regeneration.Therefore,there is an urgent need to develop bioactive materials to achieve carti-laginous immunomodulatory throughout the whole regenerative periods.In this study,we develop a novel dynamic-covalent hybrid(DCH)hydrogel with cartilaginous immune microenvironment(CIME)to temporally regulate meniscus regeneration.By combining dynamic boronic ester crosslinking and covalent photo-polymerization reactions,DCH hydrogels exhibit favorable injectability,self-healing,and tissue adhesion properties for practical operation.Furthermore,CIME is successfully created by the introduction of a temporally on-demand regulatory system:naproxen anti-inflammatory drugs are preferentially released to regulate M1/M2 macrophage polarization through PI3K/Akt/mTOR signaling pathway at early stage,while TGFβ3/CTGF growth factors are on-demand released to promote fibrochondrogenic differentiation of stem cells in the post-regulatory microenvironment at later stage.Finally,in vivo experiments demonstrate the satisfactory repair of meniscus cartilage defects in rabbits by activating the endogenous repair of stem cells homing based on our established cartilaginous immunomodulatory strategy.
