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71.
Consumers try to avoid temptation when exposed to appetizing foods by diverting their attention away from their senses (e.g., sight, smell, mouthfeel) and bodily states (e.g., state of arousal, salivation) in order to focus on their longer term goals (e.g., eating healthily, achieving an ideal body weight). However, when not including sensations in their decision‐making processes, consumers risk depleting their self‐regulatory resources, potentially leading to unhealthy food choices. Conversely, based on the concept of “embodied self‐regulation,” the suggestion is made that considering bodily states may help consumers regulate their food choices more effectively. A new model is proposed that facilitates understanding observed consumer behavior and the success or failure of self‐control in food intake. It is argued that bodily states and sensory information should be considered when modeling consumer behavior and developing health‐related advocacy and communication campaigns. The model proposed here leads to new perspectives on consumer consumption behavior and health policy research and strategies.  相似文献   
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This research investigates the perceptions of stakeholders involved in financial reporting in four emerging economies (the Czech Republic, Hungary, Romania, and Turkey) regarding the possible implementation of IFRS for SMEs, in terms of costs, benefits, and strategy of adoption. In‐depth, semi‐structured interviews were conducted with representatives of main stakeholders (preparers, auditors, regulators, professional bodies, and users). We find more support for IFRS for SMEs implementation in these four countries than suggested by the results of the European Commission's 2010 consultation for the European Union. Interviews reveal differences between stakeholder groups and between countries regarding the preferred implementation approach (mandatory adoption, voluntary adoption or convergence of national regulations with IFRS for SMEs). Interviews indicate the most support for the convergence approach. However, users oppose convergence and prefer the adoption of IFRS for SMEs. The convergence approach moves regulators' attention from users' needs to preparers' preferences and preparedness. This finding is relevant in the decision‐making process of national regulators, who should balance the needs of various stakeholders, but also the country's political and economic objectives.  相似文献   
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The transitional recession in the new Central and East European members of the EU called for completely novel approaches to industrial policy in the nineties. A strong rejection of industrial policy could be observed only in some countries and during the first years of the transition process. Subsequently however, deteriorating competitiveness, soaring unemployment and the dramatic condition of key export sectors made the re-appearance of supply-side economic policy thinking inevitable in most Central East European Countries (CEECs), except for such small and open economies as Slovenia and Estonia. A wide variety of industrial policies implemented in the CEECs are compared in the study, with special emphasis on tools used in order to promote incoming foreign direct investment, technological development and the small and medium-sized enterprise sector. These elements of the industrial policy toolkit will keep their key role in most CEECs, albeit their industrial policies will gradually align themselves to the European mainstream.  相似文献   
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Gender equality policies aim to increase women’s participation in the market economy, but they do not always recognise that market societies reproduce inequalities at micro and macro levels. At the micro level, labour markets are gendered institutions, and at the macro level, austerity policies have inherent biases and negative impacts that fall disproportionately on women.  相似文献   
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We consider the estimation of the conditional mode function when the covariates take values in some abstract function space. The main goal of this paper was to establish the almost complete convergence and the asymptotic normality of the kernel estimator of the conditional mode when the process is assumed to be strongly mixing and under the concentration property over the functional regressors. Some applications are given. This approach can be applied in time‐series analysis to the prediction and confidence band building. We illustrate our methodology by using El Nio data.  相似文献   
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