THE EFFECT OF TRUST ON INFORMATION DIFFUSION IN ONLINE SOCIAL NETWORKS

online social networks have a explosive growth in recent years and they provide a perfect platform for information diffusion. Many models have been given to explore the information diffusion procedure and its dynamics. But the trust relationship and memory effect are ignored. Based on the complex network theory, The information diffusion model is proposed and the network users, considered as agents, are classified into susceptible, infected and recovered individuals. The users’ behaviour rule and diffusion process are designed. The proposed agent-based model is tested by simulation experiments in four different complex networks: regular network, small world network, random network and scale-free network. Moreover, the effect of four immunization strategies are explored. The research results show that the influence of users’ trust relationship on different networks is varied, and the vertex weight priority immunization strategy is the best one in all four networks

Moderating effects of perceived social support on self-efficacy and psychological well-being of Chinese nurses: a cross-sectional study

IntroductionNurses experience significant physical and psychological stress that negatively influences their psychological well-being. The objective of this study was to explore the association between self-efficacy and psychological well-being among Chinese nurses and to assess the moderating effects of perceived social support (PSS).MethodsIn 2020, a hospital-based cross-sectional study using a multistage random sampling approach was performed in five regions of Liaoning, China. Of the 1,200 surveyed nurses, 1,010 completed questionnaires that evaluated the demographic information, 14-item Hospital Anxiety and Depression Scale, General Self-Efficacy Scale, and Multidimensional Scale of Perceived Social Support. To examine the factors associated with mental health parameters, hierarchical multiple regression analysis was performed. The interactions were visualized using a simple slope analysis.ResultsThe mean depression and anxiety scores for Chinese nurses were 8.74 ± 3.50 and 6.18 ± 3.26, respectively. The association between self-efficacy and depression differed between the low perceived social support (PSS) group (1 SD below the mean, β = −0.169, p < 0.01) and high PSS group (1 SD above the mean, β = −0.077, p < 0.01). Similarly, the association between self-efficacy and anxiety differed between the low PSS group (1 SD below the mean, β = −0.155, p < 0.01) and high PSS group (1 SD above the mean, β = −0.044, p < 0.01).ConclusionWe found that Chinese nurses experienced high levels of anxiety and depression. Furthermore, PSS moderates the relationship between self-efficacy and psychological well-being. Therefore, interventions targeting self-efficacy and PSS should be implemented to improve the psychological well-being of nurses

Scheduling multi–mode resource–constrained tasks of automated guided vehicles with an improved particle swarm optimization algorithm

Abstract A modified particle swarm optimization (PSO) approach is presented for the multi‐mode resource‐constrained scheduling problem of automated guided vehicle (AGV) tasks. Various constraints in the scheduling process of the AGV system are analysed, and the types and quantities of AGVs as allocable resources are considered. The multiple‐AGV combined distribution mode and its impact on distribution tasks is also considered. Finally, a multi‐mode resource‐constrained task scheduling model is established for which the object is to minimise material delivery time. Based on the above model, the discrete particle swarm optimization algorithm that improved the basic PSO was proposed. The simulation results with the test set in PSPLIB standard library showed the effectiveness of the improved PSO algorithm

Early warning of burst passenger flow in public transportation system

Burst passenger flow in the public transportation system is serious to public safety. Existing works mainly focused on prediction and monitoring of regular passenger flow, which are not suitable for burst passenger flow. In this article, we first formulate the problem as early warning of burst passenger flow. Next, we design a novel framework to solve this problem by our observation that a burst passenger in-flow usually comes after an abnormal passenger out-flow for a subway station, especially when there is a large-scale social crowd event. Our framework consists of two models: (1) Abnormal out-flow detection (AOFD) which detects abnormal out-flows and warns the city administration of the burst in-flow fairly ahead of time. (2) Burst in-flow peak estimation (BIFPE) which estimates burst in-flow peak time and volume. We evaluate our framework with real-world smartcard data of the largest city in China and use large-scale social crowd event data to further explain our model. The result shows that: (1) AOFD can detect abnormal out-flows that would later result in bursts in-flows with better performance and can send warning signal ahead of the time of burst passenger in-flow. (2) BIFPE can effectively estimate the peak time of burst in-flow and can reduce peak volume estimation error compared with the traditional passenger flow prediction models

Simulation and experimental research on high-power microwave coupling with computer box

The electromagnetic coupling characteristics of a computer box under the high-power microwave (HPM) which includes the narrow-band and ultra-wideband HPM are studied. The simulations of radiation field in the computer box show that the optical drive and floppy disk drive are main channels through which the high-power microwave penetrates. The cut-off frequency of this corresponding dielectric waveguide and resonant frequency of computer box are the frequencies on which the coupling field is enhanced. The induced current on the cable show that the peak current value decreases with the increasing frequency. At the same time, the damage effect experiments of the computer under high-power microwave are carried out and the thresholds of three effect levels are summarized. The experimental results and the simulation are verified to some extent

Metal-Organic Framework-Derived Sea-Cucumber-like FeS2@C Nanorods with Outstanding Pseudocapacitive Na-Ion Storage Properties

Sodium-ion batteries (SIBs) are supposed to be attractive energy strorage and supply devices due to the abundant reserves of sodium. Their limited specific capacity and rate capacity, however, are standing in the way of the extensive application of SIBs. It is reported herein that porous sea-cucumber-like FeS2@C nanorods can act as efficient cathode materials to satisfy the rigorous requirements of the proposed applications. The fabrication of the sea-cucumber-like FeS2@C nanorods involves the hydrothermal growth of F-MIL (where F = Fe, MIL = materials from the Lavoisier Institute) nanorods, and subsequent sulfidation. The electrochemical results demonstrate that the FeS2@C nanorods are an outstanding cathode material for SIBs with high specific capacity (385 mAh/g), ultralong lifetime (160 mAh/g after 10 000 cycles at 20 A/g), and exceptional rate capability. The metal−organic framework (MOF) template method provides a useful route toward the development of high-performance electrode materials with robust power and cyclability

Nanoconfined SnS in 3D interconnected macroporous carbon as durable anodes for lithium/sodium ion batteries

Nanoconfined SnS in 3D interconnected macroporous carbon (3D SnS/C) has been produced using silica opals as template following a carbonization and sulfuration route. The electrochemical properties of the 3D SnS/C were examined comprehensively as anode materials for lithium/sodium ion batteries (LIBs/SIBs). It delivers a high specific capacity of 869 mA h g −1 at 1 A g −1 after 1000 cycles in LIBs and 400 mA h g −1 at 100 mA g −1 after 100 cycles in SIBs. The rate performance is also excellent (550 mA h g −1 at 3 A g −1 in LIBs and 220.9 mA h g −1 at 5 A g −1 in SIBs). The outstanding electrochemical performance of the 3D SnS/C is ascribed to its 3D porous carbon interconnected structure and nanoconfined SnS nanoparticles distributing broadly in carbon matrix, which not only improve the conductivity, but also keep the structure integrity, and as a result of enhancing the cycling stability of the material. In addition, this facile and novelty strategy can be potentially utilized for preparing other 3D metal sulfides interconnected macroporous carbon composite for energy storage

The metabolic syndrome among postmenopausal women in rural Canton: prevalence, associated factors, and the optimal obesity and atherogenic indices.

OBJECTIVES: This research aimed to (i) determine the prevalence of metabolic syndrome (MetS) and its components; (ii) assess factors associated with MetS, and (iii) define optimal ethnic-specific cutoffs of obesity- and atherogenic-based markers to predict MetS among postmenopausal women in rural Canton. METHODOLOGY/PRINCIPAL FINDINGS: The Rural Canton Diabetes and Metabolic Disorders Study, a population based cross-sectional study, was conducted during 2011-2012 in Canton. In person interviews, blood glucose and lipid measurements were completed for 4,706 postmenopausal women who did not receive hormone replacement therapy. MetS was diagnosed using criteria of the Joint-Interim-Statement (JIS), the International-Diabetes-Federation (IDF) and the Modified-Third-Adult-Treatment-Panel (M-ATPIII). Age-standardized prevalence of MetS was 38.4%, 28.8%, and 37.1% according to JIS, IDF, and M-ATPIII criteria, respectively. Excellent agreement was observed between three definitions (κ ≥ 0.79), in particular between JIS and ATPIII (κ = 0.98, 95%CI: 0.97-0.98). Factors positively associated with MetS were living in Southern Canton, personal income, current smoking, higher BMI, and family history of cardiovascular disease. However, regular leisure-time physical activity can have protective effects. The optimal cutoff values for waist-circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio(WHtR), BMI, HDL-cholesterol to total cholesterol ratio (HDL/TC), HDL-cholesterol to LDL-cholesterol ratio (HDL/LDL), and triglyceride to HDL-cholesterol ratio (TG/HDL) that predicted the presence of MetS were 79.5 cm, 0.86, 0.53, 22.47 kg/m(2), 0.33, 0.68, and 0.88, respectively. CONCLUSIONS: This study highlights the importance of MetS among postmenopausal women in rural Canton. Our findings contribute to help selecting Cantonese-specific markers to predict MetS and support the need to establish educational program for promoting healthy-lifestyles among this population

Ultrathin MoSe2 Nanosheets Confined in N-doped Macroporous Carbon Frame for Enhanced Potassium Ion Storage

© 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim Potassium ion batteries (PIBs), as a promising next-generation electrochemical energy storage device, have drawn great attention in recent years due to the low price and abundant reserves of potassium resource. However, the severe electrode pulverization caused by repeatedly insertion/extraction of large radius of K+ hinders their application. Herein a novel strategy is employed to fabricate hierarchical macroporous hybrid composite, ultrathin MoSe2 nanosheets vertical growth on three-dimension nitrogen-doped cross-linked macroporous carbon (HM-MoSe2/N−C), via a template route and subsequent selenization process to alleviate the volume expansion and structure pulverization of the electrode. The electrochemical results demonstrate that the HM-MoSe2/N−C is a good anode for PIBs including high specific capacity (222.8 mA h g−1 at 0.1 A g−1), superior rate capability, and long-term cycling stability (172.5 mA h g−1 at 0.5 A g−1 after 400 cycles). The extraordinary electrochemical performance of this HM-MoSe2/N−C electrode is attributed to the elegant and adequate nanostructure design, which can offer abundant exposed active sites (ultrathin MoSe2 nanosheets), adequate volume accommodation (3D interconnected macropores), and highly conductive carbon frame with fast ion diffusion