113 research outputs found

    From Substitution to Coping: Developing and Testing a Leisure Constraints-Based Coping Model

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    The conceptualization of leisure constraints is dependent on negotiating a hierarchy of intrapersonal, interpersonal, and structural leisure constraints. It has become a recognizable and distinct subfield within leisure studies. Research has shown that the leisure constraints should not be necessarily viewed as insurmountable obstacles. Individuals can negotiate constraints by applying an array of coping mechanisms. Recently, Iwasaki and Schneider (2003) and Schneider and Stanis (2007) proposed that constraints negotiation and coping with stress share much in common. Leisure constraints are considered elements of stress, whereas constraint negotiation appears to share commonalities with ways of coping with stress. The distinction between negotiation and coping is that negotiation is something people have engaged in prior to participating in the activity, whereas coping involves strategies people more typically engage in during active participation (in response to unwanted or unanticipated situations). Based on past literature, I constructed a constraints-coping model to extend our understanding of constraints negotiation by integrating an understanding of coping mechanisms into leisure constraints-negotiation models. In order to broaden the scope of a constraints-coping framework, I integrated additional social indicators (e.g., commitment, motivation, place attachment, and frequency of participation) into my hypothesized model. First, my testing of the constraints-coping model provided empirical support for Iwasaki and his colleagues' suggestion that coping strategies can be potentially integrated into models of constraints-negotiation processes. Second, I confirmed that the three types of onsite constraints continue to have relevance for active participants. The three types of constraining factors directly influence subsequent aspects of leisure engagement for recreationists already participating. Third, I confirmed that recreationists are more likely to cope with constraints by employing an array of problem-focused coping strategies, rather than to simply adjust cognitively. However, my findings illustrate that recreationists' coping responses vary in response to different types of constraints encountered (e.g., intrapersonal, interpersonal, and structural). The experience of constraints did not universally result in the increased use of coping. Fourth, my results confirm that motivation is an immediate antecedent of constraints as well as a potential trigger for encouraging more problem-focused coping strategies. Last, four selected key variables (e.g., place attachment, commitment motivation, and frequency of participation) demonstrated different effects on influencing active participants' perceived constraints and subsequent coping strategies. Future investigations of coping strategies should continue to explore how active participants cope with onsite constraints based on a constraints-coping model in different settings

    Integrin-mediated membrane blebbing is dependent on the NHE1 and NCX1 activities.

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    Integrin-mediated signal transduction and membrane blebbing have been well studied to modulate cell adhesion, spreading and migration^1-6^. However, the relationship between membrane blebbing and integrin signaling has not been explored. Here we show that integrin-ligand interaction induces membrane blebbing and membrane permeability change. We found that sodium-proton exchanger 1 (NHE1) and sodium-calcium exchanger 1 (NCX1) are located in the membrane blebbing sites and inhibition of NHE1 disrupts membrane blebbing and decreases membrane permeability change. However, inhibition of NCX1 enhances cell blebbing to cause cell swelling which is correlated with an intracellular sodium accumulation induced by NHE17. These data suggest that sodium influx induced by NHE1 is a driving force for membrane blebbing growth, while sodium efflux induced by NCX1 in a reverse mode causes membrane blebbing retraction. Together, these data reveal a novel function of NHE1 and NCX1 in membrane permeability change and blebbing and provide the link for integrin signaling and membrane blebbing

    Study of W boson production in pPb collisions at vsNN = 5.02 TeV

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    The first study of W boson production in pPb collisions is presented, for bosons decaying to a muon or electron, and a neutrino. The measurements are based on a data sample corresponding to an integrated luminosity of 34.6 nb-1 at a nucleon–nucleon centre-of-mass energy of vsNN = 5.02 TeV, collected by the CMS experiment. The W boson differential cross sections, lepton charge asymmetry, and forward–backward asymmetries are measured for leptons of transverse momentum exceeding 25 GeV/c, and as a function of the lepton pseudorapidity in the |?lab| < 2.4range. Deviations from the expectations based on currently available parton distribution functions are observed, showing the need for including W boson data in nuclear parton distribution global fits

    Broad Transfer Learning Network based Li-ion battery lifetime prediction model

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    The Broad Transfer Learning Network (BTLN) model uses only one-third of the parameters as the common neural network does to achieve the similar prediction performance that a Multi-Layer Perceptron (MLP) model has. This brings considerable benefits to AI-related studies that highly rely on computational power. This study also proposed a feature mapping technique that applied a linear transformation to the original features to improve the performance of various learning models. This study combines both broad learning and transfer learning techniques. Data augmentation is used to expand the training dataset. It proves that, under certain conditions, the model with a broader network can perform better. The broad network structure can act as an effective feature extractor. The transform learning algorithm can increase the training efficiency due to decreased trainable parameters. The performance improvement of neural network models is particularly remarkable. The performance improves by 3.5% without any change to the model architecture. In this paper, the performance of the BTLN model proposed based on Root Mean Square Error (RMSE) improves by 18.5%. Compared to common neural network models, the training parameters and overall parameters are lowered to 14.57% and 36.28%, respectively

    Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method

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    Resilience is the concept that emphasizes change and adaptation and focuses on the capacity to absorb shocks and still maintain function. How can an Indigenous community assess the resilience of the tribe when it is affected by an array of obstacles? What are the assessment factors of resilience? This study consolidated relevant literature on resilience through in-depth interviews and the Fuzzy Delphi Method (FDM) to identify the resilience indicators for Indigenous community development. It eventually identified 5 domains, 26 types, and 45 evaluation indicators. The final indicators are divided into five domains: economic, social, cultural, environmental, and policy. The social resilience indicators: “the ability to overcome obstacles”, “the ability to accept stimuli”, and “the degree of connection between tribal and external resources” were not mentioned in the past studies of resilience. For the first time, the following cultural resilience indicator was also included: “maintain the traditional ancestral teachings and respect for ancestral norms”. Finally, this study suggests that follow-up research may extend these resilience indicators and apply them to other Indigenous tribes. These 26 types of assessment will also be the factors that must be considered in the process of adaptation and reconstruction when the community is faced with emergencies or catastrophes

    Effect of Ionic Sizes on the Electrophoretic Mobility of a Particle with a Charge-Regulated Membrane in a General Electrolyte Solution

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    [[abstract]]The electrophoretic mobility of a planar particle covered by a charge-regulated membrane in a mixed (a:b) + (c:b) electrolyte solution, taking the effect of the sizes of charged species into account, is analyzed theoretically. The influences of the key parameters, which include the frictional coefficient of the membrane layer, pH, membrane thickness, ionic strength, valence of counterions, fixed charge density, fraction of multivalent counterions, dissociation equilibrium constant of the functional groups, and sizes of cations and anions, are discussed. We demonstrate the importance of the ionic steric effects by showing a substantial difference between the classic point-charge model and the present model.[[notice]]補正完畢[[journaltype]]國
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