Interfaces Cerebro-Computadora: Conceptualización, Retos de Rediseño e Impacto Social / Brain Computer-Interfaces: Conceptualization, Redesign Challenges and Social Impact

Resumen Las Interfaces Cerebro-Computadora (ICCs) son sistemas que miden la actividad del Sistema Nervioso Central y la convierten en salidas que reemplazan, restauran, aumentan, suplementan o mejoran las salidas naturales de dicho sistema y, por lo tanto, cambian las interacciones en curso entre el ser humano y su ambiente interno o externo. Sin embargo, a más de medio siglo de ser investigadas en condiciones de laboratorio, las ICC no han podido ser trasladadas al mundo real. En el presente artículo de revisión se busca: (1) comprender a fondo la estructura de una ICC y los tipos de sistema, (2) analizar el reto que tiene la comunidad científica para mejorar la interacción entre usuario y sistema desde la perspectiva de la ingeniería de factores humanos y (3) describir la aplicación de este tipo de tecnología de asistencia en desarrollo en la sociedad mexicana. El futuro de estas ICC y la eficiencia con que logren el objetivo para el que fueron diseñadas parece depender, más que nunca, de factores relacionados a la percepción subjetiva del usuario, su adaptación al manejo de las ICC y el proceso de internalizarlas como propias en su espacio personal y su psique.

Abstract Brain-Computer Interfaces (BCIs) record the neural activity of the Central Nervous System, and then, produce outputs that replace, restore, increase, supplement or improve the natural outputs of such system. Therefore, the interaction between the human beings and their internal or external environment is transformed. However, over a century being investigated under laboratory conditions, BCIs have not been able to be transferred to the real world. This review aims to: (1) thoroughly understand the structure of a BCI and the system types, (2) analyze the challenge that the scientific community is facing to improve the interaction between user and system from the perspective of the engineering of human factors; and (3) describe the application of this type of assistive technology under development in the Mexican Society. The future of this technology and its effectiveness seem to depend more than ever on factors related to the user subjective perception, and the user adaptation to the system.

Research on the spatial distribution characteristics of arable land economic quality composite grade and ecology environment in Yunnan Province, China

ABSTRACT Understanding the distribution characteristics of arable land in Yunnan Province is of significant importance to make scientific decisionsto use and improve the quality of arable land. In this study, the distribution characteristics of the arable land grade including 129 counties were analyzed based on the accomplishment of cultivated land classification in Yunnan Province. The results showed that the average economic quality composite grade was 2.9, in a range of 1 to 13, which means that the economic quality of arable landof Yunnan Province is relatively lower. In excellent zone, the grade ranges from 1 to 10, and the average grade is 2.4. In good zone, it ranges from 1~13, and the average grade is 3.1. In medium zone, it ranges from 1~12, and the average value is 3.2. In poor zone, it ranges from 1~11, and the average is 3. In worse zone, it ranges from 1~10, and the average is 2.2. The middle and poor arable land has the largest area, which concentrated in the middle and poor zones and dominantly influenced the average grade in the whole province. This research will serve as a reference forarable landpolicy making in the future, especiallyon apace arrangement optimization, quality improvement and ecology environment protection in Yunnan Province.