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El efecto de referencia disjunta es un fenómeno lingüístico que consiste en que, en determinadas oraciones, como Juan quiere que apruebe, el sujeto omitido del verbo subordinado no puede correferir con el sujeto del verbo principal. Ya en sus primeras ediciones, la Gramática de la Real Academia Española describe este fenómeno y hasta lo considera la causa principal de la alternancia entre las oraciones en subjuntivo y en infinitivo, idea que irá corrigiendo a lo largo de las sucesivas ediciones. En el presente trabajo, se pretende examinar, por tanto, cómo ha sido la evolución en el tratamiento del efecto de referencia disjunta en las gramáticas académicas, durante el periodo de 1771 a 1973. The disjoint reference effect is a linguistic phenomenon which consists in the fact that in certain sentences, such as ‘Juan quiere que apruebe’, the omitted subject of the subordinate verb and the subject of the main verb clause cannot be coreferential. In its first editions, the Grammar of the Real Academia Española describes this phenomenon and even considers it the main cause of the alternation between the subjunctive and infinitive clauses, an idea that will be corrected throughout successive editions. Therefore, in this paper, we intend to examine how the evolution in the treatment of the disjoint reference effect in academic grammar has been from 1771 to 1973.

Bio-CAD and in-silico experimentation currently have a growing interest in biomedical applications where scientific data coming from real samples are used to evaluate physical properties. In this sense, analyzing the pore-size distribution is a demanding task to help interpret the characteristics of porous materials by partitioning it into its constituent pores. Pores are defined intuitively as local openings that can be interconnected by narrow apertures called throats that control a non-wetting phase invasion in a physical method. There are several approaches to characterize the pore space in terms of its constituent pores, several of them requiring prior computation of a skeleton. This paper presents a new approach to characterize the pore space, in terms of a pore-size distribution, which does not require the skeleton computation. Throats are identified using a new decomposition model that performs a spatial partition of the object in a non-hierarchical sweep-based way consisting of a set of disjoint boxes. This approach enables the characterization of the pore space in terms of a pore-size distribution. computation. Throats are identified using a new decomposition model that performs a spatial partition of the object in a non-hierarchical sweep-based way consisting of a set of disjoint boxes. This approach enables the characterization of the pore space in terms of a pore-size distribution.