Motivos de la ausencia de propuestas para un lenguaje no sexista en chino

Reasons for the absence of proposals for non-sexist language in Chinese. In this article we examine what are the reasons why in the Chinese language there are not so many proposals for non-sexist language as in the Spanish language. The analysis is based on a review of the states of studies on linguistic sexism in both languages. In Spain there is a heated discussion about the linguistic sexism and have appeared in recent decades many manuals in order to guide the speakers in the proper use of inclusive language, however, although many Chinese researchers have found out the sexism hidden in the language, proposals for non-sexist language did not appear. The absence is mainly due to the different characteristics of the two languages.En este artículo se reflexiona cuáles son las razones por las que en la lengua china no hay tantas propuestas para un lenguaje no sexista como en la lengua española. El análisis se basa en la revisión de los estados de estudios sobre el sexismo lingüístico en ambos idiomas. En España existe una acalorada discusión sobre el sexismo lingüístico y han aparecido en las últimas décadas numerosos manuales con el objetivo de guiar a los hablantes en el correcto uso de un lenguaje no sexista. Sin embargo, aunque muchos investigadores chinos se han dado cuenta del sexismo escondido en la lengua, apenas han aparecido propuestas que apuestan por un lenguaje más igualitario. La ausencia al respecto se debe fundamentalmente a las diferentes características del chino

High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization

In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse model as regularized constraints under the regularization framework. Estimating the high-resolution image by the local AR regularization is different from these conventional AR models, which weighted calculates the interpolation coefficients without considering the rough structural similarity between the low-resolution (LR) and high-resolution (HR) images. Then the nonlocal adaptive 3-D sparse model is formulated to regularize the interpolated HR image, which provides a way to modify these pixels with the problem of numerical stability caused by AR model. In addition, a new Split-Bregman based iterative algorithm is developed to solve the above optimization problem iteratively. Experiment results demonstrate that the proposed algorithm achieves significant performance improvements over the traditional algorithms in terms of both objective quality and visual perceptionComment: 4 pages, 5 figures, 2 tables, to be published at IEEE Visual Communications and Image Processing (VCIP) 201

El lenguaje no discriminatorio y la traducción entre el chino y el español

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Filosofía y Letras, Departamento de Lingüística, Lenguas Modernas, Lógica y Fª de la Ciencia y Tª de la Literatura y Literatura Comparada. Fecha de lectura: 23-06-201

Transcriptome profiling of the floating-leaved aquatic plant Nymphoides peltata in response to flooding stress

This table provides all differentially expressed genes meeting the threshold (FDR ≤ 0.01) and the GO terms that the differentially expressed genes were enriched. (XLS 207 kb