Problema-experiencia para construir un modelo redox

En las aulas universitarias, existe una separación muy común entre “teoría”, “trabajo experimental” y “problemas”. En este trabajo se analizan los resultados de una experiencia que busca integrar esas tres actividades. En la Facultad de Ciencias Veterinarias de la UNCPBA, en Tandil (Argentina), a un grupo de alumnos de primer año, se les propuso un problema a investigar. Debían armar un diseño experimental, ejecutarlo, comparar resultados, extraer inferencias de un hecho empírico, y aplicar conceptos de óxido-reducción. Al comenzar la actividad se percibe el desconcierto de los estudiantes frente a esta problemática inusual para ellos (diseñar un trabajo experimental), pero luego la realizan en forma cooperativa y con entusiasmo

Insulin-like growth factor binding protein-5 as a biomarker for detection of early liver disease

Study identifying an Insulin-like growth factor binding protein-5 as a biomarker for detection of early liver disease presented at the annual congress of the british toxicology societ

Key aspects for effective mathematical modelling of fractional-diffusion in cardiac electrophysiology: A quantitative study

Microscopic structural features of cardiac tissue play a fundamental role in determining complex spatio-temporal excitation dynamics at the macroscopic level. Recent efforts have been devoted to the development of mathematical models accounting for non-local spatio-temporal coupling able to capture these complex dynamics without the need of resolving tissue heterogeneities down to the micro-scale. In this work, we analyse in detail several important aspects affecting the overall predictive power of these modelling tools and provide some guidelines for an effective use of space-fractional models of cardiac electrophysiology in practical applications. Through an extensive computational study in simplified computational domains, we highlight the robustness of models belonging to different categories, i.e., physiological and phenomenological descriptions, against the introduction of non-locality, and lay down the foundations for future research and model validation against experimental data. A modern genetic algorithm framework is used to investigate proper parameterisations of the considered models, and the crucial role played by the boundary assumptions in the considered settings is discussed. Several numerical results are provided to support our claims.Italian National Group of Mathematical Physics (GNFM-INdAM); NSF grant No. 1762553; NIH grant No. 1R01HL143450-0

Avaliação da variabilidade patogênica de Magnaporthe oryzae em duas séries diferenciadoras.

O objetivo deste trabalho foi quantificar a diversidade e a complexidade dos patótipos de M. oryzae oriundos de sistemas de cultivos de várzeas (irrigado) e de terras altas (sequeiro), utilizando-se a série diferenciadora internacional e a série de linhagens isogênicas

T2 lesion location really matters: a 10 year follow-up study in primary progressive multiple sclerosis

Objectives: Prediction of long term clinical outcome in patients with primary progressive multiple sclerosis (PPMS) using imaging has important clinical implications, but remains challenging. We aimed to determine whether spatial location of T2 and T1 brain lesions predicts clinical progression during a 10-year follow-up in PPMS. Methods: Lesion probability maps of the T2 and T1 brain lesions were generated using the baseline scans of 80 patients with PPMS who were clinically assessed at baseline and then after 1, 2, 5 and 10 years. For each patient, the time (in years) taken before bilateral support was required to walk (time to event (TTE)) was used as a measure of progression rate. The probability of each voxel being ‘lesional’ was correlated with TTE, adjusting for age, gender, disease duration, centre and spinal cord cross sectional area, using a multiple linear regression model. To identify the best, independent predictor of progression, a Cox regression model was used. Results: A significant correlation between a shorter TTE and a higher probability of a voxel being lesional on T2 scans was found in the bilateral corticospinal tract and superior longitudinal fasciculus, and in the right inferior fronto-occipital fasciculus (p<0.05). The best predictor of progression rate was the T2 lesion load measured along the right inferior fronto-occipital fasciculus (p=0.016, hazard ratio 1.00652, 95% CI 1.00121 to 1.01186). Conclusion: Our results suggest that the location of T2 brain lesions in the motor and associative tracts is an important contributor to the progression of disability in PPMS, and is independent of spinal cord involvement