48 research outputs found

    Model Construction of Education Community for Foreign Language Major: A “Great Ideological and Political Courses” Perspective

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    “Great Ideological and Political Courses” conforms to the goal of talent training in the new era, which is a practical innovation of ideological and political education reform in universities. At present, the problems of foreign language courses with ideological-political elements in universities include (1) loose cooperation between professional teachers and ideological and political workers, and (2) disconnected goals between teaching and educating students. In this study, a model of education community is constructed to solve these problems through coordination between professional teachers and ideological and political workers, the formulation of cultivation scheme, and complementary between professional and extracurricular classes, which will be applied to all aspects of foreign language education at university level, so as to promote the construction of ideological and political theories teaching in all courses (IPTTIAC)

    The Frontier of Tungsten Oxide Nanostructures in Electronic Applications

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    Electrochromic (EC) glazing has garnered significant attention recently as a crucial solution for enhancing energy efficiency in future construction and automotive sectors. EC glazing could significantly reduce the energy usage of buildings compared to traditional blinds and glazing. Despite their commercial availability, several challenges remain, including issues with switching time, leakage of electrolytes, production costs, etc. Consequently, these areas demand more attention and further studies. Among inorganic-based EC materials, tungsten oxide nanostructures are essential due to its outstanding advantages such as low voltage demand, high coloration coefficient, large optical modulation range, and stability. This review will summarize the principal design and mechanism of EC device fabrication. It will highlight the current gaps in understanding the mechanism of EC theory, discuss the progress in material development for EC glazing, including various solutions for improving EC materials, and finally, introduce the latest advancements in photo-EC devices that integrate photovoltaic and EC technologies

    Phase II of the LAMOST-Kepler/K2 survey. I. Time series of medium-resolution spectroscopic observations

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    Phase \RNum{2} of the LAMOST-{\sl Kepler/K}2 survey (LK-MRS), initiated in 2018, aims at collecting medium-resolution spectra (R∌7,500R\sim7,500; hereafter MRS) for more than 50,00050,000 stars with multiple visits (∌60\sim60 epochs) over a period of 5 years (2018 September to 2023 June). We selected 20 footprints distributed across the {\sl Kepler} field and six {\sl K}2 campaigns, with each plate containing a number of stars ranging from ∌2,000\sim2,000 to ∌3,000\sim 3,000. During the first year of observations, the LK-MRS has already collected ∌280,000\sim280,000 and ∌369,000\sim369,000 high-quality spectra in the blue and red wavelength range, respectively. The atmospheric parameters and radial velocities for ∌259,000\sim259,000 spectra of 21,05321,053 targets were successfully calculated by the LASP pipeline. The internal uncertainties for the effective temperature, surface gravity, metallicity, and radial velocity are found to be 100100\,K, 0.150.15\,dex, 0.090.09\,dex, and 1.001.00\,km\,s−1^{-1}, respectively. We found 14,99714,997, 20,09120,091, and 1,5141,514 stars in common with the targets from the LAMOST low-resolution survey (LRS), GAIA and APOGEE, respectively, corresponding to a fraction of ∌70%\sim70\%, ∌95%\sim95\% and ∌7.2%\sim7.2\%. In general, the parameters derived from LK-MRS spectra are consistent with those obtained from the LRS and APOGEE spectra, but the scatter increases as the surface gravity decreases when comparing with the measurements from APOGEE. A large discrepancy is found with the GAIA values of the effective temperature. The comparisons of radial velocities of LK-MRS to GAIA and LK-MRS to APOGEE nearly follow an Gaussian distribution with a mean Ό∌1.10\mu\sim1.10 and 0.730.73\,km\,s−1^{-1}, respectively.Comment: 24 pages, 15 figures, 4 tables, ApJS, accepte

    Wrinkling number and force of a particle raft in compression

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    A particle raft is formed by a layer of small particles floating on a water surface, which has a higher load bearing capacity than pure water. In the present work, we have made a comprehensive study on the wrinkling number and force of the particle raft in planar compression. The wrinkling number during the whole loading process is measured, accompanied with snapshots on the morphologies of the particle raft. The force-displacement curve is given based on the loading system, which has been validated by the numerical simulation. Moreover, the experiment and theoretical results both show that the equivalent Young’s modulus is dependent upon the loading displacement. Finally, the maximum wrinkling number of the raft has been analyzed by the scaling law, which agrees well with the experimental result. These findings have deepen our understandings on the mechanical properties of soft materials, which also hold implications on drug delivery, chemical engineering, micro-fluidics, environment protection, petroleum exploitation, mineral flotation, etc

    The Development of Building Energy Conservation in China: A Review and Critical Assessment from the Perspective of Policy and Institutional System

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    The rapid development of the building industry has become an important driving force for the fast growing energy use in China. The building industry contributed 26.4% of China’s GDP, and the building energy use accounted for 33% of the total energy use in China. Building energy conservation plays an important role in reaching the peak of carbon emissions before 2030, which was committed by the Chinese government in the Paris Agreement. Building energy conservation is a complex system. The guidance and support of government policies are one of the important issues. This research analyzed the institutional framework for building energy conservation in China. The roles and functions of each institution were critically reviewed. The policy system for building energy conservation was also analyzed, which included National Laws; Regulations of the State Council; Provisions of Ministries under the State Council; and National Standards, Plans and Programs. The suggestions for further improvements were drawn from the critical analysis such as defining clear and specific responsibility of management institutions, improving regulations and standard system, establishing the market leading mechanism, etc. This research draws an overall picture of the building energy conservation in China from the policy and institutional perspective. Findings provide a useful reference for increasing environmental performance in the building industry

    An intelligent encryption decision method for autonomous domain of multilayer satellite network

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    Multi-layer satellite network (MLSN) is an important part of the Space-Air-Ground Integrated Network (SAGIN), it has obvious advantages in coverage density, business processing, service efficiency and other comprehensive capabilities compared with ordinary single-layer satellite networks. However, due to the fact that many space nodes, highly dynamic topology changes and wireless links scattered in free space, MLSNs are facing the dual challenges of inefficient organization and lack of security. In this case, this paper considers providing secure encryption decision support for the return of data obtained by low earth orbit (LEO) observation satellites relying on the local autonomous region of multi-layer satellite space. By quantifying the security strength of encryption algorithms, the work to be optimized is described as the problem of maximizing the security strength under the constraint of return delay of the data. This paper thus proposes a solution based on deep reinforcement learning (DRL), which relies on reasonably setting the key supporting elements such as state, action and reward closely related to the problem to achieve fast and reliable decision output, and the simulation results show that the proposed method has better performance than many comparison methods

    Comparative Proteomic Analysis Reveals the Effect of Selenoprotein W Deficiency on Oligodendrogenesis in Fear Memory

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    The essential trace element selenium plays an important role in maintaining brain function. Selenoprotein W (SELENOW), the smallest selenoprotein that has been identified in mammals, is sensitive to selenium levels and abundantly expressed in the brain. However, its biological role in the brain remains to be clarified. Here, we studied the morphological and functional changes in the brain caused by SELENOW deficiency using its gene knockout (KO) mouse models. Histomorphological alterations of the amygdala and hippocampus, specifically in the female SELENOW KO mice, were observed, ultimately resulting in less anxiety-like behavior and impaired contextual fear memory. Fear conditioning (FC) provokes rapidly intricate responses involving neuroplasticity and oligodendrogenesis. During this process, the females generally show stronger contextual FC than males. To characterize the effect of SELENOW deletion on FC, specifically in the female mice, a Tandem mass tag (TMT)-based comparative proteomic approach was applied. Notably, compared to the wildtype (WT) no shock (NS) mice, the female SELENOW KO NS mice shared lots of common differentially expressed proteins (DEPs) with the WT FC mice in the hippocampus, enriched in the biological process of ensheathment and oligodendrocyte differentiation. Immunostaining and Western blotting analyses further confirmed the proteomic results. Our work may provide a holistic perspective of gender-specific SELENOW function in the brain and highlighted its role in oligodendrogenesis during fear memory

    Multi-attribute Aware Path Selection Approach for Efficient MPTCP-based Data Delivery

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    With the increasing diversity of wireless access technologies, and the further integration of mobile communication and heterogeneous wireless networks, more and more mobile devices equipped with multiple network interfaces. The mobile devices, which have integrated multi-homing technology, can transmit data through multiple network interfaces to improve the quality of data transmission for users. The advantages of multi-homing technology have contributed to the rapid development of multipath protocols. Multipath Transmission Control Protocol (MPTCP) is an extension of the traditional Transmission Control Protocol (TCP), which can take advantage of the capabilities of multiple network interfaces to simultaneously make use of multiple paths for data transmission, aiming at improving the performance of the data delivery. Although the multi-homing mobile devices configuring MPTCP protocol can obtain a lot of benefits, the current MPTCP path selection mechanism is too simple resulting in some concerns. So, a multi-attribute aware path selection approach for MPTCP (MPTCP-MAPS) is proposed in the paper, which jointly taking the Round-Trip Time (RTT) and the packet loss rate (Loss) of transport layer into account for efficient data delivery. MPTCP-MAPS designs a Multi-attribute path switch Prober (MP) to enhance the efficiency of the path selection mechanism. The results, which are gained from a closing realistic simulation topology, demonstrate how MPTCP-MAPS' path selection approach is superior to the current MPTCP path selection mechanism in terms of continuity of mobile services and performance in heterogeneous wireless networks

    Anisotropic Electrene T'-Ca2P with Electron Gas Magnetic Coupling as Anode Material for Na/K Ion Batteries

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    There is an urgently need for the high-performance rechargeable electrical storage devices as supplement or substitutions of lithium ion batteries due to the shortage of lithium in nature. Herein we propose a stable 2D electrene T'-Ca2P as anode material for Na/K ion batteries by first-principle calculations. Our calculated results show that T'-Ca2P monolayer is an antiferromagnetic semiconducting electrene with spin-polarized electron gas. It exhibits suitable adsorption for both Na and K atoms, and its anisotropic migration energy barriers are 0.050/0.101 eV and 0.037/0.091 eV in b/a direction, respectively. The theoretical capacities for Na and K are both 482 mAh/g, while the average working voltage platforms are 0.171-0.226 V and 0.013-0.267 V, respectively. All the results reveal that the T'-Ca2P monolayer has promised application prospects as anode materials for Na/K ion batteries
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