In this paper,we study an Intelligent Reflecting Surface(IRS)assisted Mobile Edge Computing(MEC)system under eavesdropping threats,where the IRS is used to enhance the energy signal transmission and the offloading per...
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In this paper,we study an Intelligent Reflecting Surface(IRS)assisted Mobile Edge Computing(MEC)system under eavesdropping threats,where the IRS is used to enhance the energy signal transmission and the offloading performance between Wireless Devices(WDs)and the Access Point(AP).Specifically,in the proposed scheme,the AP first powers all WDs with the wireless power transfer through both direct and IRS-assisted ***,powered by the harvested energy,all WDs securely offload their computation tasks through the two links in the time division multiple access *** determine the local and offloading computational bits,we formulate an optimization problem to jointly design the IRS's phase shift and allocate the time slots constrained by the security and energy *** cope with this non-convex optimization problem,we adopt semidefinite relaxations,singular value decomposition techniques,and Lagrange dual ***,we propose a dichotomy particle swarm algorithm based on the bisection method to process the overall optimization problem and improve the convergence *** numerical results illustrate that the proposed scheme can boost the performance of MEC and secure computation rates compared with other IRS-assisted MEC benchmark schemes.
Due to the limited computational capability and the diversity of the Internet of Things devices working in different environment,we consider fewshot learning-based automatic modulation classification(AMC)to improve it...
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Due to the limited computational capability and the diversity of the Internet of Things devices working in different environment,we consider fewshot learning-based automatic modulation classification(AMC)to improve its reliability.A data enhancement module(DEM)is designed by a convolutional layer to supplement frequency-domain information as well as providing nonlinear mapping that is beneficial for *** network is designed to have multiple residual blocks,where each residual block has multiple convolutional kernels of different sizes for diverse feature ***,a deep supervised loss function is designed to supervise all parts of the network including the hidden layers and the *** different model may output different results,cooperative classifier is designed to avoid the randomness of single model and improve the *** results show that this few-shot learning-based AMC method can significantly improve the AMC accuracy compared to the existing methods.
The hydrogen-bonded organic frameworks(HOFs)as a new type of porous frame-work materials have been widely studied in vari-ous ***,the lack of appropriate active sites,low intrinsic conductivity,and poor stability limi...
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The hydrogen-bonded organic frameworks(HOFs)as a new type of porous frame-work materials have been widely studied in vari-ous ***,the lack of appropriate active sites,low intrinsic conductivity,and poor stability limited their performance in the field of ***,we designed two 2D metal hydro-gen-bonded organic frameworks(2D-M-HOF,M=Cu2+or Ni2+)with coordination compounds based on 2,3,6,7,14,15-hexahydroxyl cyclotricat-echylene and transition metalions(Cu2+and Ni2+),*** crystal structure of 2D-Cu-HOF is determined by continuous rotation electron dif-fraction,indicating an undulated 2D hydrogen-bond network with interlayeredπ-π *** flexible structure of 2D-M-HOF leads to the formation of self-adaption interlayered sites,resulting in superior activity and selectivity in the electrocatalytic conversion of CO2 to C2 products,achieving a total Faradaic efficiency exceeding 80%due to the high-efficiency C-C *** experimental results and density functional calculations verify that the undulated 2D-M-HOF enables the energetically favorable formation of*OCCHO *** work provides a promising strategy for designing HOF catalysts in electrocatalysis and related processes.
Magnesium(Mg) and its alloys have been intensively studied to develop the next generation of bone implants recently, but their clinical application is restricted by rapid degradation and unsatisfied osteogenic effect ...
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Magnesium(Mg) and its alloys have been intensively studied to develop the next generation of bone implants recently, but their clinical application is restricted by rapid degradation and unsatisfied osteogenic effect in vivo. A bioactive chemical conversion Mg-phenolic networks complex coating(e EGCG) was stepwise incorporated by epigallocatechin-3-gallate(EGCG) and exogenous Mg^(2+)on Mg-2Zn magnesium alloy. Simplex EGCG induced chemical conversion coating(c EGCG) was set as compare group. The in vitro corrosion behavior of Mg-2Zn alloy, c EGCG and e EGCG was evaluated in SBF using electrochemical(PDP, EIS) and immersion test. The cytocompatibility was investigated with rat bone marrow mesenchymal stem cells(r BMSCs). Furthermore, the in vivo tests using a rabbit model involved micro computed tomography(Micro-CT) analysis, histological observation, and interface analysis. The results showed that the e EGCG is Mgphenolic multilayer coating incorporated Mg-phenolic networks, which is rougher, more compact and much thicker than c EGCG. The e EGCG highly improved the corrosion resistance of Mg-2Zn alloy, combined with its lower average hemolytic ratios, continuous high scavenging effect ability and relatively moderate contact angle features, resulting in a stable and suitable biological environment, obviously promoted r BMSCs adhesion and proliferation. More importantly, Micro-CT, histological and interface elements distribution evaluations all revealed that the e EGCG effectively inhibited degradation and enhanced bone tissue formation of Mg alloy implants. This study puts forward a promising bioactive chemical conversion coating with Mg-phenolic networks for the application of biodegradable orthopedic implants.
Olefin hydrogenation under mild condition is crucial and challenging for industrial applications. Herein, defective UiO-66(Ce) was constructed by using cyanuric acid as the molecular etching “scissors” and further t...
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Olefin hydrogenation under mild condition is crucial and challenging for industrial applications. Herein, defective UiO-66(Ce) was constructed by using cyanuric acid as the molecular etching “scissors” and further to synthesize heterogeneous catalyst with highly dispersed RuNi nanoparticles (Ru1Ni1.5@UiO-66(Ce)-12 h). The construction of Ce-O-Ru/Ni heterogeneous interfaces and Ni–Ru bonds provide electron transfer channels from Ce-oxo clusters and Ni species to Ru species. Furthermore, the microenvironment and electronic structure of Ru0 active sites were synergistically regulated by adjusting the content of metal-organic frameworks (MOFs) defects and Ni promoter, thereby enhancing the adsorption and activation ability of H–H and C=C bonds. Therefore, Ru1Ni1.5@UiO-66(Ce)-12 h achieved dicyclopentadiene saturated hydrogenation (100% conversion) to tetrahydrodicyclopentadiene (∼ 100% selectivity) under mild condition (35℃, 1 MPa) with only 25 min. Meanwhile, the sample exhibited excellent structural stability after 6 cycles test. This study provides a promising strategy for the rational design of remarkable noble metal-based catalysts for practical applications.
Poly(chloro-p-xylylene) (parylene C) is recognized for its outstanding chemical resistance, high thermal stability, biocompatibility, and superior permeability barrier properties. This material predominantly exists in...
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Poly(chloro-p-xylylene) (parylene C) is recognized for its outstanding chemical resistance, high thermal stability, biocompatibility, and superior permeability barrier properties. This material predominantly exists in a semicrystalline state. Despite its significance, theoretical studies simulating the semicrystalline parylene C system are scarce. This study aims to elucidate the relationship between the semicrystalline structures and the barrier properties of parylene C through a molecular dynamics approach. Semicrystalline parylene C with 10-50% aligned regions were constructed, which exhibited a degree of crystallinity ranging from 17% to 44%. We discovered that increased aligned chains could significantly alter the material's structure and morphology. These changes could further lead to variations in the density, fractional free volume, and pore size distribution of parylene C, thus affecting its glass transition temperature, permeability barrier and mechanical properties. Additionally, the relative values of gas permeability coefficients closely match experimental data. The insights into the structure-property relationship presented in this work could offer valuable guidance for developing functionalized and structured parylene C as coating materials.
In this paper,we introduce a type of tensor neural *** the first time,we propose its numerical integration scheme and prove the computational complexity to be the polynomial scale of the *** on the tensor product stru...
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In this paper,we introduce a type of tensor neural *** the first time,we propose its numerical integration scheme and prove the computational complexity to be the polynomial scale of the *** on the tensor product structure,we develop an efficient numerical integration method by using fixed quadrature points for the functions of the tensor neural *** corresponding machine learning method is also introduced for solving high-dimensional *** numerical examples are also provided to validate the theoretical results and the numerical algorithm.
One effective approach to strike the balance between ionic conductivity and mechanical strength in polymer electrolytes involves the design of a coupled polymer molecular structure comprising both rigid and flexible *...
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One effective approach to strike the balance between ionic conductivity and mechanical strength in polymer electrolytes involves the design of a coupled polymer molecular structure comprising both rigid and flexible ***,the regulation of intermolecular interactions between plasticizers and rigid and flexible phases has been largely ***,an intermolecular interaction engineering strategy is carried out with well-chosen dual-plasticize within qua si-sol id-state polymer electrolytes(QSPEs).Succinonitrile exhibits a stronger affinity towards rigid phase hydrogenated nitrile butadiene rubber(HNBR),while propene carbonate demonstrates a stronger affinity towards flexible segments poly(propylene carbonate)(PPC).This tailored intermolecular interaction engineering allows for differential plasticization of the polymer's rigid and flexible phases,thereby achieving a balance between ionic conductivity and mechanical *** QSPE have both higher ionic conductivity(1.04×10^(-4)S cm^(-1)at 30℃),t_(Li+)(0.55),and tensile strength(0.76 MPa).Li//Li symmetric cells maintaining performance over1100 h at 0.1 mA cm^(-2)and Li//LiFePO_(4)cells retaining 85.0%capacity after 700 cycles at 1.0 *** is a unique angle to employ intermolecular interaction engineering in QSPEs through dual-plasticizer approach combined with CO_(2)-based polymer *** sustainable strategy combining dual-plasticizer engineering with CO_(2)-based polymers,offers insights for designing high-performance,eco-friendly lithium metal batteries.
This study aimed to enhance the understanding of root-soil interaction at a microscale level and its implications for practical land management, ecosystem restoration, and engineered solutions on vegetated slopes. Spe...
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This study aimed to enhance the understanding of root-soil interaction at a microscale level and its implications for practical land management, ecosystem restoration, and engineered solutions on vegetated slopes. Specifically, the interaction between tall fescue roots and sand was investigated using four-dimensional (4D) CT scanning. The growth process of tall fescue roots in sand was tracked on the 2nd, 4th, 6th, and 8th days after seed transplantation. To accurately segment root-soil CT images and overcome challenges such as the partial volume effect (PVE) and the similarity of root water grayscale in CT images, a semiautomatic segmentation process was employed. The analysis focused on examining the evolution of three-dimensional root parameters throughout the growth process. The findings highlighted the significant influence of initial porosity on tall fescue root development, the global decrease in saturation with root growth, and the predominant impact of pore distribution on local saturation distribution. The study revealed that the root system's influence on saturation, on the eighth day after transplantation, extended up to 800 pixels (8 mm) from the root surface. These results have practical implications for optimizing planting density and providing effective planting strategies for vegetated slope design in engineering applications.
The coronavirus disease 2019(COVID-19)pandemic is an unprecedented worldwide health *** previous research studies have found and investigated its links with one or some natural or human environmental ***,a review on t...
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The coronavirus disease 2019(COVID-19)pandemic is an unprecedented worldwide health *** previous research studies have found and investigated its links with one or some natural or human environmental ***,a review on the relationship between COVID-19 incidence and both the natural and human environment is still *** review summarizes the inter-correlation between COVID-19 incidence and environmental *** on keyword searching,we reviewed 100 relevant peer-reviewed articles and other research literature published since January *** review is focused on three main ***,we found that individual environmental factors have impacts on COVID-19 incidence,but with spatial heterogeneity and ***,environmental factors exert interactive effects on COVID-19 *** particular,the interactions of natural factors can affect COVID-19 transmission in micro-and macro-ways by impacting SARS-CoV-2 survival,as well as human mobility and ***,the impact of COVID-19 incidence on the environment lies in the fact that COVID-19-induced lockdowns caused air quality improvement,wildlife shifts and socio-economic *** additional value of this review is that we recommend future research perspectives and adaptation strategies regarding the interactions of the environment and *** research should be extended to cover both the effects of the environment on the COVID-19 pandemic and COVID-19-induced impacts on the *** adaptation strategies should focus on sustainable environmental and public policy responses.
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