ABSTRACT
The study of natural language using a network approach has made it possible to characterize novel properties ranging from the level of individual words to phrases or sentences. A natural way to quantitatively evaluate similarities and differences between spoken and written language is by means of a multiplex network defined in terms of a similarity distance between words. Here, we use a multiplex representation of words based on orthographic or phonological similarity to evaluate their structure. We report that from the analysis of topological properties of networks, there are different levels of local and global similarity when comparing written vs. spoken structure across 12 natural languages from 4 language families. In particular, it is found that differences between the phonetic and written layers is markedly higher for French and English, while for the other languages analyzed, this separation is relatively smaller. We conclude that the multiplex approach allows us to explore additional properties of the interaction between spoken and written language.
Subject(s)
Language , Phonetics , HumansABSTRACT
The complexity of drug-disease interactions is a process that has been explained in terms of the need for new drugs and the increasing cost of drug development, among other factors. Over the last years, diverse approaches have been explored to understand drug-disease relationships. Here, we construct a bipartite graph in terms of active ingredients and diseases based on thoroughly classified data from a recognized pharmacological website. We find that the connectivities between drugs (outgoing links) and diseases (incoming links) follow approximately a stretched-exponential function with different fitting parameters; for drugs, it is between exponential and power law functions, while for diseases, the behavior is purely exponential. The network projections, onto either drugs or diseases, reveal that the co-ocurrence of drugs (diseases) in common target diseases (drugs) lead to the appearance of connected components, which varies as the threshold number of common target diseases (drugs) is increased. The corresponding projections built from randomized versions of the original bipartite networks are considered to evaluate the differences. The heterogeneity of association at group level between active ingredients and diseases is evaluated in terms of the Shannon entropy and algorithmic complexity, revealing that higher levels of diversity are present for diseases compared to drugs. Finally, the robustness of the original bipartite network is evaluated in terms of most-connected nodes removal (direct attack) and random removal (random failures).
ABSTRACT
The complexity of natural language can be explored by means of multiplex analyses at different scales, from single words to groups of words or sentence levels. Here, we plan to investigate a multiplex word-level network, which comprises an orthographic and a phonological network defined in terms of distance similarity. We systematically compare basic structural network properties to determine similarities and differences between them, as well as their combination in a multiplex configuration. As a natural extension of our work, we plan to evaluate the preservation of the structural network properties and information-based quantities from the following perspectives: (i) presence of similarities across 12 natural languages from 4 linguistic families (Romance, Germanic, Slavic and Uralic), (ii) increase of the size of the number of words (corpus) from 104 to 50 × 103, and (iii) robustness of the networks. Our preliminary findings reinforce the idea of common organizational properties among natural languages. Once concluded, will contribute to the characterization of similarities and differences in the orthographic and phonological perspectives of language networks at a word-level.
Subject(s)
Language , Phonetics , Semantics , Vocabulary , HumansABSTRACT
Objetivo. Esta investigación pretende conocer cuáles son las principales fuentes de estrés durante el periodo de prácticas de los estudiantes de Enfermería de la Universidad de Murcia en función de su sexo, curso y edad. Metodología. Se trata de un estudio transversal de corte descriptiva. La muestra estuvo compuesta por un total de 45 alumnos, 30 mujeres y 15 hombres, de Enfermería de la Universidad de Murcia del curso académico 2010/2011. El instrumento de recogida de la información fue cuestionario KEKZAK. Resultados. El desconocimiento ante una determinada situación clínica y el riesgo de dañar al paciente son las dos principales fuentes estresoras para los estudiantes de enfermería. Los hombres suelen sufrir un mayor estrés que sus compañeras; no obstante, a medida que aumenta la edad y se avanza de curso el grado de estrés es cada vez menor. Conclusiones. El estrés de los estudiantes de enfermería marca su formación durante el período de prácticas clínicas. Por tanto, se hace necesario que el aprendizaje teórico que sustenta a las prácticas atienda a estas necesidades que los propios estudiantes de enfermería demandan(AU)
Objective: This research aims to establish what the Nursing students main stress sources are during their practice period, according to their gender, grade and age. Methodology. It is a descriptive transversal study. The sample was composed by 45 Nursing students, 30 women and 15 men, at the University of Murcia in 2010/2011. The information gathering tool was KEZKAK questionnaire. Results. The ignorance facing a determined clinical situation and the risk of damaging the patient are the Nursing students two main stress sources. Men often suffer from a bigger stress than women; nevertheless, as well as the age increases and the students pass grades, the stress level is smaller. Conclusions. Nursing students stress determines their formation within their clinical practices period. Thus, it is necessary that the theoretical learning that supports these practices considers theses needs that own Nursing students require(AU)