This study was conducted to investigate the relationship between posttraumatic growth, resilience, positive coping style, and self-efficacy among the primary caregivers of children with developmental disorders in Chongqing, China. A total of 198 primary caregivers aged from 22 to 66 years old, including 155 females and 43 males, were enrolled. The Posttraumatic Growth Inventory, Connor-Davidson Resilience Scale-10, Simplified Coping Style Questionnaire, and General Self-Efficacy Scale were used for data collection. The results found that PTG could be positively predicted by resilience. (...) Positive coping style and self-efficacy mediated the relationship between resilience and PTG. The different levels of PTG were determined by the resident location, monthly income and education of the primary caregivers. The results suggest that it is critical to improve the mental health of the primary caregivers of children with developmental disabilities. Our results also provide a scientific basis for future research. (shrink)

Research into logical syntax provides us the knowledge of the structure of sentences, while logical semantics provides a window into uncovering the truth of sentences. Therefore, it is natural to make sentences and truth the central concern when one deals with the theory of meaning logically. Although their theories of meaning differ greatly, both Michael Dummett’s theory and Donald Davidson’s theory are concerned with sentences and truth and developed in terms of truth. Logical theories and methods first introduced by G. (...) Frege underwent great developments during the past century and have played an important role in expanding these two scholars’ theories of meaning. (shrink)

In this paper, we propose the model averaging estimation method for multiplicative error model and construct the corresponding weight choosing criterion based on the Kullback–Leibler divergence with a hyperparameter to avoid the problem of overfitting. The resulting model average estimator is proved to be asymptotically optimal. It is shown that the Kullback–Leibler model averaging estimator asymptotically minimizes the in-sample Kullback–Leibler divergence and improves the forecast accuracy of out-of-sample even under different loss functions. In simulations, we show that the KLMA estimator (...) compares favorably with smooth-AIC estimator, smooth-BIC estimator, and Mallows model averaging estimator, especially when some nonlinear noise is added to the data generation process. The empirical applications in the daily range of S&P500 and price duration of IBM show that the out-of-sample forecasting capacity of the KLMA estimator is better than that of other methods. (shrink)

The Linguistic Turn had a great impact and brought about global changes in the objects, methods, and styles of many twentieth-century philosophical works. However, a considerable number of Chinese scholars and philosophers nowadays think that the Linguistic Turn has already passed. Some of them are even of the opinion that the immediate products of the Linguistic Turn, such as analytic philosophy and the philosophy of language, are by now outdated. In their view, this is an inevitable consequence of the Linguistic (...) Turn, as this revolutionary change in philosophy was based on the inherently limited methods of mathematical logic: structural methods and greatly restricted methods of language analysis. Therefore, analytic philosophy and the philosophy of language could never resolve basic philosophical and, especially, metaphysical questions. (shrink)