In this paper, an absorber based on split square graphene is designed, which produces double absorption peaks at different polarization incidence. The absorption rates of x-polarized waves at 7.86 THz and 12.63THz are...
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Metasurface-enabled bound states in the continuum(BICs)provide a novel solution for achieving exceptionally high quality factors(Q factors),which could overcome the limitations of traditional mid-infrared filters,sens...
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Metasurface-enabled bound states in the continuum(BICs)provide a novel solution for achieving exceptionally high quality factors(Q factors),which could overcome the limitations of traditional mid-infrared filters,sensors,lasers,and nonlinear ***,most BIC metasurfaces are restricted by their sensitivity to specific incident angles,limiting their practical ***,we introduced a germanium-based metasurface that supports two BIC modes for different polarizations,exhibiting robust angle *** leveraging geometric asymmetry,we effectively controlled BIC leakage and *** device maintained infinite Q factors under oblique incidence with preserved symmetry,and exhibited stable quasi-BIC resonance wavelengths and linewidths even with broken symmetry,regardless of TE or TM *** angular robustness has been validated both theoretically and experimentally,demonstrating its potential for broadening the applicability of high-performance mid-infrared optical devices.
There is no doubt that hydrogen(H)is becoming one of the most promising sustainable energy carriers which can release at least partially the current strong reliance on fossil fuel-based energy and the resulting enviro...
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There is no doubt that hydrogen(H)is becoming one of the most promising sustainable energy carriers which can release at least partially the current strong reliance on fossil fuel-based energy and the resulting environmental burden.
Tool wear is a critical challenge in titanium alloy friction stir welding(FSW).Vortex flow-based FSW(VFSW)is a potential solution for this issue because the VFSW process uses a similar material to the base metal as th...
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Tool wear is a critical challenge in titanium alloy friction stir welding(FSW).Vortex flow-based FSW(VFSW)is a potential solution for this issue because the VFSW process uses a similar material to the base metal as the *** this study,TC4 titanium alloy was welded by VFSW for the first *** optimization of the vortex flow formation is first done,and then the weld formation and the joints'microstructure and mechanical performance are investigated at different traversing *** results prove that the plunging velocity is the dominant factor in the vortex depth.A lower plunging speed is beneficial for the formation of a deeper *** penetration is achieved at traversing speeds of 50–120 mm/min at 300 r/*** welding speed above 130 mm/min,insufficient penetration defects *** the heat affected zone,grain coarsening andβ-phase volume fraction increase arise,whereas,in the weld nugget,anα+βlamellar structure *** the optimized parameters,the joint tensile strength is nearly 98%of the base material,but the elongation decreases *** oxides drawn into the weld by the vortex at the junction between the vortex and the base material are the main reason for the small *** study proves that the VFSW process is feasible for titanium alloys.
Background: Quantitative measurement of photosensitizer during photodynamic therapy (PDT) is critical. One of the practical approaches is to measure photosensitizer’s fluorescence, however, the influence of tissue op...
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Users and edge servers are not fullymutually trusted inmobile edge computing(MEC),and hence blockchain can be introduced to provide *** blockchain-basedMEC,each edge server functions as a node in bothMEC and blockchai...
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Users and edge servers are not fullymutually trusted inmobile edge computing(MEC),and hence blockchain can be introduced to provide *** blockchain-basedMEC,each edge server functions as a node in bothMEC and blockchain,processing users’tasks and then uploading the task related information to the *** is,each edge server runs both users’offloaded tasks and blockchain tasks *** that there is a trade-off between the resource allocation for MEC and blockchain ***,the allocation of the resources of edge servers to the blockchain and theMEC is crucial for the processing delay of blockchain-based *** of the existing research tackles the problem of resource allocation in either blockchain or MEC,which leads to unfavorable performance of the blockchain-based MEC *** this paper,we study how to allocate the computing resources of edge servers to the MEC and blockchain tasks with the aimtominimize the total systemprocessing *** the problem,we propose a computing resource Allocation algorithmfor Blockchain-based MEC(ABM)which utilizes the Slater’s condition,Karush-Kuhn-Tucker(KKT)conditions,partial derivatives of the Lagrangian function and subgradient projection method to obtain the *** results show that ABM converges and effectively reduces the processing delay of blockchain-based MEC.
The widespread use of pesticides has caused serious harm to ecosystems,necessitating effective and environmentally friendly treatment *** stands out as a promising approach for pollutant treatment,wherein the metaboli...
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The widespread use of pesticides has caused serious harm to ecosystems,necessitating effective and environmentally friendly treatment *** stands out as a promising approach for pollutant treatment,wherein the metabolic activities of microorganisms can transform toxic pesticides into compounds with lower or no *** this study,we obtained eight pesticide-degrading strains from pesticide-contaminated sites through continuous enrichment and *** highly efficient pesticide-degrading strains(degradation ratios exceeding 80%)were *** them,Pseudomonas ***5 exhibited the strongest growth(exceeding 10^(9) CFU·ml^(-1))and outstanding degradation of benzene derivatives and chlorinated hydrocarbons at both laboratory and pilot scales,with degradation ratios exceeding 98%and 99.6%,*** research provides new tools and insights for the bioremediation of pesticide-related pollutants.
Background: Mouse model is a unique tool for preclinical evaluation of photosensitizing drugs for their potential applications in photodynamic therapy (PDT). The fluorescent property of photosensitizer provides a usef...
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Cell instance segmentation is a fundamental task for many biological applications,especially for packed cells in three-dimensional(3D)microscope images that can fully display cellular *** processing algorithms based o...
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Cell instance segmentation is a fundamental task for many biological applications,especially for packed cells in three-dimensional(3D)microscope images that can fully display cellular *** processing algorithms based on neural networks and feature engineering have enabled great progress in two-dimensional(2D)instance ***,current methods cannot achieve high segmentation accuracy for irregular cells in 3D *** this study,we introduce a universal,morphology-based 3D instance segmentation algorithm called Crop Once Merge Twice(C1M2),which can segment cells from a wide range of image types and does not require nucleus images.C1M2 can be extended to quantify the fluorescence intensity of fluorescent proteins and antibodies and automatically annotate their expression levels in individual *** results suggest that C1M2 can serve as a tissue cytometry for 3D histopathological assays by quantifying fluorescence intensity with spatial localization and morphological information.
In recent years,deep learning has been gradually used in communication physical layer receivers and has achieved excellent *** this paper,we employ deep learning to establish covert communication systems,enabling the ...
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In recent years,deep learning has been gradually used in communication physical layer receivers and has achieved excellent *** this paper,we employ deep learning to establish covert communication systems,enabling the transmission of signals through high-power signals present in the prevailing environment while maintaining covertness,and propose a convolutional neural network(CNN)based model for covert communication receivers,namely Deep *** model leverages CNN to execute the signal separation and recovery tasks commonly performed by traditional *** enables the direct recovery of covert information from the received *** simulation results show that the proposed Deep CCR exhibits significant advantages in bit error rate(BER)compared to traditional receivers in the face of noise and multipath *** verify the covert performance of the covert method proposed in this paper using the maximum-minimum eigenvalue ratio-based method and the frequency domain entropy-based *** results indicate that this method has excellent covert *** also evaluate the mutual influence between covert signals and opportunity signals,indicating that using opportunity signals as cover can cause certain performance losses to covert *** the interference-tosignal power ratio(ISR)is large,the impact of covert signals on opportunity signals is minimal.
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