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    Advancements in blood rheology and hemodynamics simulation with a brief history
    (Advance Research in Sciences (ARS), 2023-09-20)
    Blood rheology is a complex field of study that investigates blood flow behavior, vital for understanding its role in physiological and pathological conditions. This article delves into various rheological models that describe blood behavior, ranging from Generalized Newtonian models to more sophisticated thixotropic and elastoviscoplastic models. One such model, the Horner-Armstrong-Wagner-Beris (HAWB) model, offers valuable insights into the dynamic interplay of reversible and irreversible phenomena in blood flow. Recent advancements, such as the mHAWB framework, provide enhanced accuracy and versatility in modeling blood rheology, holding great potential for diagnostic and therapeutic applications. Moreover, microscopic and mesoscopic simulations have paved the way for deeper insights into blood behavior, bridging the gap between theory and experiment. Multiscale models offer a promising approach to capturing the complexities of blood rheology at various length scales. Finally, we explore the clinical implications of blood rheology, including its significance in conditions like polycythemia, neonatal respiratory distress, and circulatory inadequacy. By understanding blood rheology comprehensively, we can advance our knowledge of complex blood flow dynamics and its potential applications in healthcare.
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    An integrative model for the study of attitudes towards statistics, Part 1: establishing the conceptual model
    (Journal of Social Sciences, 2022-08-31)
    We propose a model to study attitudes towards statistics in higher education teachers. In the literature, there is a host of scientific articles aimed at developing and applying measurement instruments whose psychometric characteristics are generally statistically acceptable. However, publications on the structure of attitudes and their relationship with teaching are relatively scarce-especially those dedicated to statistics in higher education. Based on the system of attitudes proposed by Ajzen and Fishbein, the objective is to develop a model to put into perspective what happens to teachers in the classrooms of higher education institutions. It is imperative to know teachers' attitudes and make the appropriate modifications considering the digitalization of information and increased databases.