Research on the E-commerce Model in Textile Industry

E-commerce will play an important role in textile industry. Yet the proper e-commerce model in textile industry has not been solved up till now. It is necessary to study the model as soon as possible, so that we may get together with the advanced countries

Compact Primitive Semigroups Having (CEP)

Abstract Compact completely simple semigroups having congruence extension property (in brevity (CEP)) were first studied by Dumesnil in 1997. In this paper, we study the compact primitive semigroups having (CEP) and characterize such semigroups, so that the result of Dumesnil on compact completely simple semigroups having (CEP) is extended to compact primitive semigroups

Facile synthesis of core–shell porous Fe3_{{3}}O4_{{4}}@carbon microspheres with high lithium storage performance

Core–shell porous Fe3O4@C (CP-Fe3O4@C) microspheres were synthesized using an environmentally viable hydrothermal method. Carbonization can reduce Fe2O3 and provide a conductive coating simultaneously. CP-Fe3O4@C microspheres as an active material for Lithium-ion batteries demonstrate pseudocapacity for improved rate performance. With a distinct nanostructure and pseudocapacitive effect, the CP-Fe3O4@C microspheres show excellent electrochemical performance (${\sim }785~\mathrm{mAh}{\cdot }\mathrm{g}^{-1}$ at $0.3~\mathrm{A}{\cdot }\mathrm{g}^{-1}$ after 200 cycles). Capacity measurements of CP-Fe3O4@C microspheres suggest near 90% pseudocapacitance at relatively low scan rates ($5~\mathrm{mV}{\cdot }\mathrm{s}^{-1}$)

Facile synthesis of core–shell porous Fe3_{{3}}O4_{{4}}@carbon microspheres with high lithium storage performance

Core–shell porous Fe3O4@C (CP-Fe3O4@C) microspheres were synthesized using an environmentally viable hydrothermal method. Carbonization can reduce Fe2O3 and provide a conductive coating simultaneously. CP-Fe3O4@C microspheres as an active material for Lithium-ion batteries demonstrate pseudocapacity for improved rate performance. With a distinct nanostructure and pseudocapacitive effect, the CP-Fe3O4@C microspheres show excellent electrochemical performance (${\sim }785~\mathrm{mAh}{\cdot }\mathrm{g}^{-1}$ at $0.3~\mathrm{A}{\cdot }\mathrm{g}^{-1}$ after 200 cycles). Capacity measurements of CP-Fe3O4@C microspheres suggest near 90% pseudocapacitance at relatively low scan rates ($5~\mathrm{mV}{\cdot }\mathrm{s}^{-1}$)

Knowledge landscape of tumor-associated macrophage research: A bibliometric and visual analysis

Background and aimsTumor-associated macrophage (TAM) is a highly abundant immune population in tumor microenvironment, which plays an important role in tumor growth and progression. The aim of our study was to explore the development trends and research hotspots of TAM by bibliometric method.MethodsThe publications related to TAM were obtained from the Web of Science Core Collection database. Bibliometric analysis and visualization were conducted using VOSviewer, CiteSpace and R software.ResultsA total of 6,405 articles published between 2001 and 2021 were included. The United States and China received the most citations, whereas the University of Milan, the university of California San Francisco and Sun Yat-sen University were the main research institutions. Mantovani, Alberto from Humanitas University was the most productive authors with the most citations. Cancer Research published the most articles and received the most co-citations. Activation, angiogenesis, breast cancer, NF-κB and endothelial growth factor were important keywords in TAM research. Among them, PD-1/L1, nanoparticle, PI3Kγ, resistance and immune microenvironment have become the focus of attention in more recent research.ConclusionsThe research on TAM is rapidly evolving with active cooperation worldwide. Anticancer therapy targeting TAM is emerging and promising area of future research, especially in translational application. This may provide guidance and new insights for further research in the field of TAM

PPLS: a privacy-preserving location-sharing scheme in mobile online social networks

The recent proliferation of mobile devices has given rise to mobile online social networks (mOSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical components in mOSNs, location sharing plays an important role in helping users share information and strengthen their social bonds, which however may compromise users’ privacy, including location information and social relationship details. To address these challenges, some solutions have been proposed. However, none of them considers the privacy of inter-user threshold distance, which effectively can be used to identify users, their friends, and location information, by malicious or undesired elements of the system. To overcome this limitation, we propose a secure distance comparison protocol. Furthermore, we present a privacy-preserving location-sharing scheme (PPLS), which allows users to build more complex access control policies. The safety of our scheme is validated by the security analysis and the experimental results demonstrate the efficiency of PPLS scheme.This work was supported by National Natural Science Foundation of China (Grant Nos. 61972037, 61402037, U1836212, 61872041) and Graduate Technological Innovation Project of Beijing Institute of Technology (Grant No. 2019CX10014)

LiFS: Low human-effort, device-free localization with fine-grained subcarrier information

Device-free localization of people and objects indoors not equipped with radios is playing a critical role in many emerging applications. This paper presents an accurate model-based device-free localization system LiFS, implemented on cheap commercial off-the-shelf (COTS) Wi-Fi devices. Unlike previous COTS device-based work, LiFS is able to localize a target accurately without offline training. The basic idea is simple: channel state information (CSI) is sensitive to a target's location and by modelling the CSI measurements of multiple wireless links as a set of power fading based equations, the target location can be determined. However, due to rich multipath propagation indoors, the received signal strength (RSS) or even the fine-grained CSI can not be easily modelled. We observe that even in a rich multipath environment, not all subcarriers are affected equally by multipath reflections. Our pre-processing scheme tries to identify the subcarriers not affected by multipath. Thus, CSIs on the "clean" subcarriers can be utilized for accurate localization. We design, implement and evaluate LiFS with extensive experiments in three different environments. Without knowing the majority transceivers' locations, LiFS achieves a median accuracy of 0.5 m and 1.1 m in line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios respectively, outperforming the state-of-the-art systems. Besides single target localization, LiFS is able to differentiate two sparsely-located targets and localize each of them at a high accuracy