188 research outputs found

    How Referral Rewards Systems Shape What Tourists Share on Social Media

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    Sharing on social media not only relies on our intrinsic motivations but also can be induced by the extrinsic motivations such as referral rewards. Although our previous study demonstrated that incentivizing tourists to create postings could influence peer consumers’ behavioral intentions (i.e., purchase and word-of-mouth intentions) and social media engagement, we noticed that it was the content which was created under the incentive design drove all the impacts. Therefore, in this study, we extracted the content characteristics from the tourists’ postings we collected. Results indicated that the referral rewards systems (RRSs) we introduced could shape what tourists share, and the content characteristics such as positive emotional, utilitarian, high-level and low-level construal have different effects on peer consumers’ social media engagement and behavioral intentions. Our findings aid researchers and practitioners in understanding how to design successful RRSs and how to create viral content on social media

    Effects of sintering temperature on the densification of WC-6Co cemented carbides sintered by coupled multi-physical-fields activated technology

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    Sample parts with WC-6Co cemented carbides were manufactured successfully with a novel method called coupled multi-physical-fields (electric field, temperature field and force field) activated sintering technology, using a Gleeble-1500D thermal simulation machine. Effects of sintering temperature on the densification, microstructures and hardness of samples were investigated. It was found that densification of the samples was enhanced with the increase of the sintering temperature and a relative density of as high as 98.76% achieved when a sintering temperature of 1200 °C was used. The particle size of the WC in sintered samples increased from 1.837 μm to 2.897 μm when the temperature was increased from 1000 °C to 1200 °C, resulting in the decrease of the hardness from HRC 63.5 to HRC 61.7. The presented work shows that, potentially, coupled multi-physical-fields activated technology is able to produce hard alloys to meet the engineering applications

    Surface Crack Detection for Carbon Fiber Reinforced Plastic Materials Using Pulsed Eddy Current Based on Rectangular Differential Probe

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    Aiming at the surface defect inspection of carbon fiber reinforced composite, the differential and the direct measurement finite element simulation models of pulsed eddy current flaw detection were built. The principle of differential pulsed eddy current detection was analyzed and the sensitivity of defect detection was compared through two kinds of measurements. The validity of simulation results was demonstrated by experiments. The simulation and experimental results show that the pulsed eddy current detection method based on rectangular differential probe can effectively improve the sensitivity of surface defect detection of carbon fiber reinforced composite material

    Responses of soil respiration and its temperature/moisture sensitivity to precipitation in three subtropical forests in southern China

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    Both long-term observation data and model simulations suggest an increasing chance of serious drought in the dry season and extreme flood in the wet season in southern China, yet little is known about how changes in precipitation pattern will affect soil respiration in the region. We conducted a field experiment to study the responses of soil respiration to precipitation manipulations – precipitation exclusion to mimic drought, double precipitation to simulate flood, and ambient precipitation as control (abbr. EP, DP and AP, respectively) – in three subtropical forests in southern China. The three forest sites include Masson pine forest (PF), coniferous and broad-leaved mixed forest (MF) and monsoon evergreen broad-leaved forest (BF). Our observations showed that altered precipitation strongly influenced soil respiration, not only through the well-known direct effects of soil moisture on plant and microbial activities, but also by modification of both moisture and temperature sensitivity of soil respiration. In the dry season, soil respiration and its temperature sensitivity, as well as fine root and soil microbial biomass, showed rising trends with precipitation increases in the three forest sites. Contrarily, the moisture sensitivity of soil respiration decreased with precipitation increases. In the wet season, different treatments showed different effects in three forest sites. The EP treatment decreased fine root biomass, soil microbial biomass, soil respiration and its temperature sensitivity, but enhanced soil moisture sensitivity in all three forest sites. The DP treatment significantly increased soil respiration, fine root and soil microbial biomass in the PF only, and no significant change was found for the soil temperature sensitivity. However, the DP treatment in the MF and BF reduced soil temperature sensitivity significantly in the wet season. Our results indicated that soil respiration would decrease in the three subtropical forests if soil moisture continues to decrease in the future. More rainfall in the wet season could have limited effect on the response of soil respiration to the rising of temperature in the BF and MF

    Defect Detection and Localization of Nonlinear System Based on Particle Filter with an Adaptive Parametric Model

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    A robust particle filter (PF) and its application to fault/defect detection of nonlinear system are investigated in this paper. First, an adaptive parametric model is exploited as the observation model for a nonlinear system. Second, by incorporating the parametric model, particle filter is employed to estimate more accurate hidden states for the nonlinear stochastic system. Third, by formulating the problem of defect detection within the hypothesis testing framework, the statistical properties of the proposed testing are established. Finally, experimental results demonstrate the effectiveness and robustness of the proposed detector on real defect detection and localization in images

    BRICS as formation to study visual online communication? A dialogue on historical origins, perspectives on theory and future directions

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    In this paper, contributions from scholars working in the field of visual communication and/or online communication are gathered whose scholarly work falls into the BRICS countries realm. The interviews are framed by a brief sketch of the relevance of BRICS countries research in communication and media studies and some prospective comments on this novel field. The contributing scholars in this issue focus on China and Brazil in particular and work across the globe in Germany, the Netherlands, Austria, Switzerland, PR China, the UK and Brazil. They shared their ideas on the subject even though they are scholarly roots lie in fields as diverse as regional studies, political studies, communication and media studies and educational studies. Their thoughts were collected through email interviews and they are presented here in form of a cross-disciplinary dialogue on the issue of visual online communication in BRICS countries and the De-Westernization discourse. Gratefulness goes out to all the ones who have contributed and hopefully this project will contribute to many future dialogues between scholars from across the world

    Identification of Plk4 interacting partners and establishment of Plk4 stable cell lines.

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    <p>Each error bar is one standard error. CK, control; NN, ambient CO<sub>2</sub> with N fertilizer; CC, elevated CO<sub>2</sub> without N fertilizer; CN, elevated CO<sub>2</sub> with N fertilizer. (a-c) <i>A</i>. <i>acuminatissima</i>; (d-f) <i>S</i>. <i>hancei</i>; (g-i) <i>C</i>. <i>hystrix</i>; (j-l) <i>O</i>. <i>pinnata</i>; (m-o) <i>S</i>. <i>superba</i>.</p

    Natural variation in the prolyl 4-hydroxylase gene PtoP4H9 contributes to perennial stem growth in Populus

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    Perennial trees must maintain stem growth throughout their entire lifespan to progressively increase in size as they age. The overarching question of the molecular mechanisms that govern stem perennial growth in trees remains largely unanswered. Here we deciphered the genetic architecture that underlies perennial growth trajectories using genome-wide association studies (GWAS) for measures of growth traits across years in a natural population of Populus tomentosa. By analyzing the stem growth trajectory, we identified PtoP4H9, encoding prolyl 4-hydroxylase 9, which is responsible for the natural variation in the growth rate of diameter at breast height (DBH) across years. Quantifying the dynamic genetic contribution of PtoP4H9 loci to stem growth showed that PtoP4H9 played a pivotal role in stem growth regulation. Spatiotemporal expression analysis showed that PtoP4H9 was highly expressed in cambium tissues of poplars of various ages. Overexpression and knockdown of PtoP4H9 revealed that it altered cell expansion to regulate cell wall modification and mechanical characteristics, thereby promoting stem growth in Populus. We showed that natural variation in PtoP4H9 occurred in a BASIC PENTACYSTEINE transcription factor PtoBPC1-binding promoter element controlling PtoP4H9 expression. The geographic distribution of PtoP4H9 allelic variation was consistent with the modes of selection among populations. Altogether, our study provides important genetic insights into dynamic stem growth in Populus, and we confirmed PtoP4H9 as a potential useful marker for breeding or genetic engineering of poplars

    Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects

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    Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance our understanding of the quantitative genetics and genomics of complex phenotypic variation. Genome-wide association studies (GWASs) represent an ideal statistical strategy for dissecting the genetic basis of complex quantitative traits. However, elucidating the molecular mechanisms underlying many favorable loci that contribute to wood formation and optimizing GWAS design remain challenging in this omics era. In this review, we summarize the recent progress in GWAS-based functional genomics of wood property traits in major timber species such as Eucalyptus, Populus, and various coniferous species. We discuss several appropriate experimental designs for extensive GWAS in a given undomesticated tree population, such as omics-wide association studies and high-throughput phenotyping technologies. We also explain why more attention should be paid to rare allelic and major structural variation. Finally, we explore the potential use of GWAS for the molecular breeding of trees. Such studies will help provide an integrated understanding of complex quantitative traits and should enable the molecular design of new cultivars
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