While the interaction between information and disease in static networks has been extensively investigated,many studies have ignored the characteristics of network *** this study,we construct a new two-layer coupling ...
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While the interaction between information and disease in static networks has been extensively investigated,many studies have ignored the characteristics of network *** this study,we construct a new two-layer coupling model to explore the interactions between information and *** upper layer describes the diffusion of disease-related information,and the lower layer represents the disease *** then use power-law distributions to examine the influence of asymmetric activity levels on dynamic propagation,revealing a mapping relationship characterizing the interconnected propagation of information and diseases among partial nodes within the ***,we derive the disease outbreak threshold by using the microscopic Markov-chain approach(MMCA).Finally,we perform extensive Monte Carlo(MC)numerical simulations to verify the accuracy of our theoretical *** findings indicate that the activity levels of individuals in the disease transmission layer have a more significant influence on disease transmission compared with the individual activity levels in the information diffusion ***,reducing the damping factor can delay disease outbreaks and suppress disease transmission,while improving individual quarantine measures can contribute positively to disease *** study provides valuable insights into policymakers for developing outbreak prevention and control strategies.
Ensemble object detectors have demonstrated remarkable effectiveness in enhancing prediction accuracy and uncertainty quantification. However, their widespread adoption is hindered by significant computational and sto...
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In the realm of underwater robotics,optical imaging plays a pivotal role in many scientific *** to the effects of absorption and scattering,images captured in turbid water are severely ***,enhancing the quality of und...
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In the realm of underwater robotics,optical imaging plays a pivotal role in many scientific *** to the effects of absorption and scattering,images captured in turbid water are severely ***,enhancing the quality of underwater optical images stands paramount in ensuring the continued advancement and efficacy of underwater robots across its multifarious applications.
Large-scale neural networks-based federated learning(FL)has gained public recognition for its effective capabilities in distributed ***,the open system architecture inherent to federated learning systems raises concer...
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Large-scale neural networks-based federated learning(FL)has gained public recognition for its effective capabilities in distributed ***,the open system architecture inherent to federated learning systems raises concerns regarding their vulnerability to potential *** attacks turn into a major menace to federated learning on account of their concealed property and potent destructive *** altering the local model during routine machine learning training,attackers can easily contaminate the global *** detection and aggregation solutions mitigate certain threats,but they are still insufficient to completely eliminate the influence generated by ***,federated unlearning that can remove unreliable models while maintaining the accuracy of the global model has become a *** some existing federated unlearning approaches are rather difficult to be applied in large neural network models because of their high computational ***,we propose SlideFU,an efficient anti-poisoning attack federated unlearning *** primary concept of SlideFU is to employ sliding window to construct the training process,where all operations are confined within the *** design a malicious detection scheme based on principal component analysis(PCA),which calculates the trust factors between compressed models in a low-cost way to eliminate unreliable *** confirming that the global model is under attack,the system activates the federated unlearning process,calibrates the gradients based on the updated direction of the calibration *** on two public datasets demonstrate that our scheme can recover a robust model with extremely high efficiency.
The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks. In this paper, we propose a simple yet efficient augmented fully convolutional network(AugFCN) by aggr...
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The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks. In this paper, we propose a simple yet efficient augmented fully convolutional network(AugFCN) by aggregating content-and position-based object contexts for semantic ***, motivated because each deep feature map is a global, class-wise representation of the input,we first propose an augmented nonlocal interaction(AugNI) to aggregate the global content-based contexts through all feature map interactions. Compared to classical position-wise approaches, AugNI is more efficient. Moreover, to eliminate permutation equivariance and maintain translation equivariance, a learnable,relative position embedding branch is then supportably installed in AugNI to capture the global positionbased contexts. AugFCN is built on a fully convolutional network as the backbone by deploying AugNI before the segmentation head network. Experimental results on two challenging benchmarks verify that AugFCN can achieve a competitive 45.38% mIoU(standard mean intersection over union) and 81.9% mIoU on the ADE20K val set and Cityscapes test set, respectively, with little computational overhead. Additionally, the results of the joint implementation of AugNI and existing context modeling schemes show that AugFCN leads to continuous segmentation improvements in state-of-the-art context modeling. We finally achieve a top performance of 45.43% mIoU on the ADE20K val set and 83.0% mIoU on the Cityscapes test set.
The Greenberger–Horne–Zeilinger(GHZ)paradox shows that it is possible to create a multipartite state involving three or more particles in which the measurement outcomes of the particles are correlated in a way that ...
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The Greenberger–Horne–Zeilinger(GHZ)paradox shows that it is possible to create a multipartite state involving three or more particles in which the measurement outcomes of the particles are correlated in a way that cannot be explained by classical *** extend it to witness quantum *** first extend the GHZ paradox to simultaneously verify the GHZ state and Einstein–Podolsky–Rosen states on triangle *** then extend the GHZ paradox to witness the entanglement of chain networks consisting of multiple GHZ *** the present results are robust against the noise.
As the applications of large language models (LLMs) expand across diverse fields, their ability to adapt to ongoing changes in data, tasks, and user preferences becomes crucial. Traditional training methods with stati...
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Redox-active organic electrode materials have emerged as a promising alternative to inorganic counter-parts in view of their low cost and easily tunable chemical/electrical/mechanical ***,practical issues of using the...
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Redox-active organic electrode materials have emerged as a promising alternative to inorganic counter-parts in view of their low cost and easily tunable chemical/electrical/mechanical ***,practical issues of using these materials remain as a consequence of their electrically insulating character,limited specific capacity and ***,a highly conjugated macrocyclic organic compound,is an appealing candidate due to its multi-electron transfer mechanism and its small energy barrier for rapid electron ***,a new class of copper(Ⅱ)meso-tetra(4-pyridyl)porphyrin(CuTPyP)was ob-tained by introducing copper ions into free-base H_(2) TPyP for regulation of redox activity and prevention of material dissolution,and was further hosted on conducting reduced graphene oxide(rGO)to enhance the redox *** resultant CuTPyP/rGO composites hence demonstrated a high reversible discharge capacity of 152 mAh g^(-1) after 200 cycles,with a capacity retention rate of 84.5% at 0.5 C,vastly superior to the bare CuTPyP(113 mAh g^(-1))and free-base H2 TPyP(62 mAh g^(-1)).A deep insight into the chemical states showed that electron-donating N atoms in the tetrapyridyl subunits behaved as the main charge storage sites during the charge and discharge state along with part contribution from the Cu(Ⅱ)/Cu(Ⅰ)conversion *** high and stable electrochemical performance makes porphyrins a potential choice for real-use cathodes for long-term organic alkali metal batteries.
Software developers and maintainers frequently conduct software refactorings to improve software quality. Identifying the conducted software refactorings may significantly facilitate the comprehension of software evol...
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Recent strides in the combination of Artificial Intelligence(AI),edge computing,and Internet of Things(IoT)technology have shown great potential to unlock the Edge Artificial Intelligence(Edge AI)era for various *** A...
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Recent strides in the combination of Artificial Intelligence(AI),edge computing,and Internet of Things(IoT)technology have shown great potential to unlock the Edge Artificial Intelligence(Edge AI)era for various *** AI systems have opened new opportunities for many areas,such as smart cities,Intelligent transportation systems,the digital economy,and so *** technological innovations in multiple dimensions blur the lines between the physical and digital worlds and provide more convenient smart living solutions for human society.
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