Durable and biocompatible magnetic scaffolds prepared by simple approaches are important for the development of tissue engineering. In this work, by freeze-drying method and without using any ...crosslinker, we successfully fabricated Fe3O4/chitosan magnetic scaffolds that belong to hard magnetic materials and are stable in physiological fluid. In vitro biocompatibility assay showed that mouse mesenchymal progenitor cells grow normally on the surface of the scaffolds. So these magnetic scaffolds have potentials to be used in tissue engineering as implants that independently direct drug targeting.
Durable and biocompatible magnetic scaffolds prepared by simple approaches are important for the development of tissue engineering. In this work, by freeze-drying method and without using any ...crosslinker, we successfully fabricated Fe
O
/chitosan magnetic scaffolds that belong to hard magnetic materials and are stable in physiological fluid. In vitro biocompatibility assay showed that mouse mesenchymal progenitor cells grow normally on the surface of the scaffolds. So these magnetic scaffolds have potentials to be used in tissue engineering as implants that independently direct drug targeting.
Block chain is, along with the rising popularity of digital encryption currency such as COINS and gradually rise a new decentralized architecture and distributed computing paradigm, decentralization, ...time-series data, collective maintenance and programmable and safety reliable, has caused the government departments, financial institutions, science and technology enterprises and capital market attaches great importance and wide public concern. As the world accelerates into the "blockchain economic era", blockchain technology has shown a spurt of growth. As a disruptive underlying technology, it has been continuously applied in various industries and attracted more and more heed from all over the world. Blockchain + simulation industry has also become a new trend in the development of simulation technology. By deconstructing the core elements of blockchain, this paper puts forward the infrastructure model of blockchain system, expounds and analyzes what blockchain is, the blockchain's development tendency, their relationship between blockchain and virtual simulation, and gives examples for analysis.
Four problems in the current monitoring and control process of distributed photovoltaic power generation are described: the lack of effective monitoring and shutdown means for module measurement, the ...harsh temperature environment of the power station, the complex carrier channel environment and the lack of DC carrier signal coupling technology. The design scheme of DC carrier chip is proposed, and innovation is made in the design of high dynamic analog front-end circuit, high precision temperature sensor and high performance DC coupling circuit equipment and improve on-site maintenance efficiency. The effectiveness of the innovative scheme is verified by mathematical model and software simulation.
Computation offloading is generally regarded as a promising technology to address the problem of insufficient computing power in mobile devices, while simultaneously satisfying low-latency ...requirements and furnishing exceptional support for intelligent applications. However, with the advancement of computing-intensive and delay-sensitive application service demands, how to assign applications with diversity requirements among various edge servers still remains a challenge. In this paper, we propose a graph neural network (GNN)-based dependency-aware task scheduling and offloading (GNN-TSO) scheme for MEC-assisted network to effectively coordinate wireless and computing resources for multiple applications. We first model the dependencies among all tasks of an application as a directed acyclic graph (DAG) and formulate the dependency-aware task scheduling and offloading problem as a combinatorial optimization problem which is hard to be solved. To capture the scalable features of DAG-type applications, we introduce the GNN to process tasks information of applications. Then we construct a Markov decision process for the fine-grained task scheduling and offloading strategy and apply policy gradient algorithm to jointly optimize the task scheduling priority and computation offloading decision. Simulation results show that the proposed scheme can effectively reduce the network cost compared with other reference schemes.
With the development of urban rail transit systems, Communication-Based Train Control (CBTC) system choose to deploy Ad Hoc network alongside the track for train-to-trackside communication. However, ...due to the mobility of the train, how to efficiently send information to the train by Ad Hoc network still remains a challenge. Considering the dynamic characteristics of the train and multiple optimization objectives, we propose a mobility-aware multi-objective Deep Deterministic Policy Gradient (DDPG) algorithm for routing to optimize delay, throughput and energy consumption. We first set up the clustering routing model according to the dynamic routing scenario. To solve the problem of route selection, Markov decision process (MDP) models are constructed for intra-cluster optimization and inter-cluster optimization respectively, and train operating conditions are considered in inter-cluster MDP. Then we propose a multi-objective DDPG routing algorithm to get the optimal routing, where delay, throughput and energy consumption are designed as a three-dimensional vector. Simulation results indicate that our scheme optimizes multiple objectives in a balanced manner, and shows better performance compared with other schemes.
Nowadays the rapid growth of mobile traffic has attracted researchers' attention on the power efficiency problem in the Internet. Given the outstanding advantages of "edge cache" in content delivery ...services, researchers are attempting to apply this idea to reducing network power consumption. However, the power efficiency issue in the existing works is mainly researched under the background of the access networks and lack of in-depth analysis from the perspective of the cooperation between content providers (CPs) and Internet Service Providers (ISPs). Therefore, we design an edge cache-assisted power-efficient data transmission scheme in mobile wireless environments, where the power consumption problem of ISPs and CPs is formulated as a centralized model. Besides, we theoretically analyze this power efficiency model to optimize cache allocation and content distribution. Simulations are conducted in the different network scenarios and the simulation presents that the performance of the proposed minimal power model exceeds that of the current Internet solutions without deploying edge caches in the wireless networks.
A novel hierarchical architecture of CoMoO4 nanoneedle with high electrochemical performance was synthesized using a facile one-step hydrothermal method. As the active electrode material in ...supercapacitors, it exhibited a large specific capacitance (1628.1 C g−1 at a current density of 2 mA cm−2), a high rate capability (874.8 C g−1 at 50 mA cm−2), and superior cycling stability (90.54% capability retention after 5000 cycles at 10 mA cm−2). Moreover, as an electrocatalyst for the oxygen evolution reaction (OER), the CoMoO4 nanoneedle exhibited an early onset potential of 1.37 V, a small Tafel slope of 66 mV Dec−1, and a low overpotential of 235 mV at the current density of 10 mA cm−2. The excellent electrochemical performance of the hierarchical CoMoO4 structure was attributed to its porosity and the characteristics of the 2D nanosheet subunits that possess many active reaction sites, rapid electron/ion transport, and high stability. The synthetic strategy used in the present study is simple, cost-effective, and generalizable. It can be used to develop effective electrode materials for large-scale energy storage and conversion applications.
•A hierarchical CoMoO4 nanoarchitecture was synthesized.•The novel nanoarchitecture was constructed by CoMoO4 nanoneedle subunit.•The hierarchical CoMoO4 manifests multi-functional electrochemical performances.•They deliver excellent supercapacitor performance.•They exhibit remarkable electrocatalytic activity to OER.
Flower-like Bi2S3/MoS2 nanohybrids with high-quality heterostructures and three-dimensional asile exhibit a remarkable electrochemical performance for supercapacitors.
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...•Three-dimensional (3 D) flower-like Bi2S3/MoS2 nanohybrid was synthesized by facile one-pot hydrothermal method.•MoS2 nanosheet is tightly attached to the surface of the Bi2S3 nanorod to form superior heteroinface.•Flower-like Bi2S3/MoS2 nanohybrid was assembled from Bi2S3 nanorod /MoS2 nanosheet heterostructures.•The as-prepared flower-like Bi2S3/MoS2 nanohybrid exhibits excellent electrochemical performance.•The results bring a new strategy to design advanced electrode materials for high-performance supercapacitors.
Three-dimensional (3D) flower-like Bi2S3/MoS2 nanohybrid is synthesized using a facile one-pot hydrothermal method. In the nanohybrid, MoS2 nanosheet is tightly attached to the surface of the Bi2S3 nanorod to form a superior heterointerface, facilitating the electron transfer. Three-dimensional nanoarchitecture gives rise to large spaces and voids, fastening the ion diffuse. With the unique structural features of high-quality heterostructures and 3D aisles, the as-prepared flower-like Bi2S3/MoS2 nanohybrid exhibit excellent electrochemical performance with a high specific capacitance of 3040Fg−1, a remarkable rate capability (1258Fg−1 at a current density of 30Ag−1), and an outstanding cycle stability (92.65% capacitance retention after 5000 cycles at 10Ag−1). These promising results bring a new strategy to design advanced electrode materials for high-performance supercapacitors.
Global identification of protein C-termini is highly challenging due to their low abundance in conventional shotgun proteomics. Several enrichment strategies have been developed to facilitate the ...detection of C-terminal peptides. One major issue of previous approaches is the limited C-terminome coverage. Herein, we integrated LysargiNase digestion, chemical acetylation on neo-N-terminus, and a-ion-aided peptide matching into poly(allylamine)-based C-terminomics (termed as LAACTer). In this strategy, we leveraged LysargiNase, a protease with cleavage specificity N-terminal to Lys and Arg residues, to cover previously unidentifiable C-terminome and employed chemical acetylation and a-ion-aided peptide matching to efficiently boost peptide identifications. Triplicates of LAACTer identified a total of 834 C-termini from proteome of 293T cell, which expanded the coverage by 164% (643 more unique C-termini) compared with the parallel experiments using the original workflow. Compared with the largest human C-terminome data sets (containing 800–900 C-termini), LAACTer not only achieved comparable profiling depth but also yielded 465 previously unidentified C-termini. In a SILAC (stable isotope labeling with amino acids in cell culture)-based quantitative study for identification of GluC-cleaved products, LAACTer quantified 300% more C-terminal peptides than the original workflow. Using LAACTer and the original workflow, we performed global analysis for the C-terminal sequences of 293T cell. The original and processed C-termini displayed distinct sequence patterns, implying the “C-end rules” that regulates protein stability could be more complex than just amino acid motifs. In conclusion, we reason LAACTer could be a powerful proteomic tool for in-depth C-terminomics and would benefit better functional understanding of protein C-termini.
