Los usos sociales de la matemática en las ciencias prácticas de la cultura maya: un estudio socioepistemológico

El presente trabajo plantea el estudio del conocimiento matemático de la cultura maya desde la aproximación socioepistemológica, ya que se aporta una visión diferente de las que suelen abordarse en la literatura: antropológica o etnográfica entre otras. Se plantea el estudio de prácticas sociales que se encuentran en la cultura maya y que son a la vez generadoras de conocimiento matemático.

Las calculadoras gráficas y el conocimiento científico de las matemáticas

Uno de los desafíos esenciales de la enseñanza de las matemáticas consiste en la utilización de métodos y medios de enseñanza que propicien en los alumnos la formación de un conocimiento científico. Se asume como referente teórico los métodos del conocimiento científico de las ciencias pedagógicas, teniendo en cuenta que cuando el conocimiento que se quiere formar es científico, tiene que crear una actividad cognoscitiva nueva, lo que hace que la enseñanza y los medios de enseñanza que utilicemos sean diferentes, particularmente por el lenguaje que tiene la matemática, que ha de ser el lenguaje científico donde, además del habitual, se da el simbólico. El objetivo del trabajo es fundamentar la utilización de las calculadoras gráficas como un medio muy importante y actual para lograr formar en los alumnos un conocimiento científico de las matemáticas, y precisar que no basta con la enseñanza expositiva para que el estudiante se forme un conocimiento científico, pues la actitud científica hay que formarla, educarla en los estudiantes. Se caracterizan los niveles del conocimiento científico de las matemáticas, el empírico y el teórico y se precisa que ambos niveles se distinguen por los métodos de enseñanza y aprendizaje, donde el empírico emplea métodos que permiten describir los hechos, y es por eso que para este nivel se recomienda la visualización con la utilización de las calculadoras gráficas, y el nivel teórico utiliza métodos para distinguir las esencias, por ejemplo el hipotético-deductivo, el lógico histórico, la ascensión de lo abstracto a lo concreto pensado, etc. El trabajo aporta como resultado los principios para la utilización de las calculadoras gráficas en las clases de matemáticas en aras de formar un conocimiento científico en la enseñanza de esta materia.

Optimizing the operation of straight-grate iron-ore pellet induration systems using process models

Mathematical models of straight-grate pellet induration processes have been developed and carefully validated by a number of workers over the past two decades. However, the subsequent exploitation of these models in process optimization is less clear, but obviously requires a sound understanding of how the key factors control the operation. In this article, we show how a thermokinetic model of pellet induration, validated against operating data from one of the Iron Ore Company of Canada (IOCC) lines in Canada, can be exploited in process optimization from the perspective of fuel efficiency, production rate, and product quality. Most existing processes are restricted in the options available for process optimization. Here, we review the role of each of the drying (D), preheating (PH), firing (F), after-firing (AF), and cooling (C) phases of the induration process. We then use the induration process model to evaluate whether the first drying zone is best to use on the up- or down-draft gas-flow stream, and we optimize the on-gas temperature profile in the hood of the PH, F, and AF zones, to reduce the burner fuel by at least 10 pct over the long term. Finally, we consider how efficient and flexible the process could be if some of the structural constraints were removed (i.e., addressed at the design stage). The analysis suggests it should be possible to reduce the burner fuel lead by 35 pct, easily increase production by 5+ pct, and improve pellet quality.

Coupled 3-D finite difference time domain and finite volume methods for solving microwave heating in porous media

Computational results for the microwave heating of a porous material are presented in this paper. Combined finite difference time domain and finite volume methods were used to solve equations that describe the electromagnetic field and heat and mass transfer in porous media. The coupling between the two schemes is through a change in dielectric properties which were assumed to be dependent both on temperature and moisture content. The model was able to reflect the evolution of temperature and moisture fields as the moisture in the porous medium evaporates. Moisture movement results from internal pressure gradients produced by the internal heating and phase change.

Predicting the reliability of power electronic modules

This paper discusses the reliability of an IGBT power electronics module. This work is part of a major UK funded initiative into the design, packaging and reliability of power electronic modules. The predictive methodology combines numerical modeling techniques with experimentation and accelerated testing to identify failure modes and mechanisms for these type of power electronic module structures. The paper details results for solder joint failure substrate solder. Finite element method modeling techniques have been used to predict the stress and strain distribution within the module structures. Together with accelerated life testing, these results have provided a failure model for these joints which has been used to predict reliability of a rail traction application

Antioxidants and oxidative stress in BAL fluid of atopic asthmatic children

Earlier studies in adults have indicated that increased oxidative stress may occur in the blood and airways of asthmatic subjects. Therefore the aim of this study was to compare the concentrations of antioxidants and protein carbonyls in bronchoalveolar lavage fluid of clinically stable atopic asthmatic children (AA, n = 78) with our recently published reference intervals for nonasthmatic children (C, n = 124). Additionally, lipid peroxidation products (malondialdehyde) in bronchoalveolar lavage fluid and several antioxidants in plasma were determined. Bronchoalveolar lavage concentrations (median and interquartile range) of ascorbate [AA: 0.433 (0.294-0.678) versus C: 0.418 (0.253-0.646) micromol/L], urate [AA: 0.585 (0.412-0.996) versus C: 0.511 (0.372-0.687) micromol/L], alpha-tocopherol [AA: 0.025 (0.014-0.031) versus C: 0.017 (0.017-0.260) micromol/L], and oxidized proteins as reflected by protein carbonyls [AA: 1.222 (0.970-1.635) versus C: 1.243 (0.813-1.685) nmol/mg protein] were similar in both groups (p > 0.05 in all cases). The concentration of protein carbonyls correlated significantly with the number of eosinophils, mast cells, and macrophages in AA children only. Concentrations of oxidized proteins and lipid peroxidation products (malondialdehyde) correlated significantly in AA children (r = 0.614, n = 11, p = 0.044). Serum concentrations of ascorbate, urate, retinol, alpha-tocopherol, beta-carotene, and lycopene were similar in both groups whereas alpha-carotene was significantly reduced in asthmatics. Overall, increased bronchoalveolar lavage eosinophils indicate ongoing airway inflammation, which may increase oxidatively modified proteins as reflected by increased protein carbonyl concentrations.

Analysis of Extended Partial Least Squares for Monitoring Large-Scale Processes

This paper theoretically analysis the recently proposed "Extended Partial Least Squares" (EPLS) algorithm. After pointing out some conceptual deficiencies, a revised algorithm is introduced that covers the middle ground between Partial Least Squares and Principal Component Analysis. It maximises a covariance criterion between a cause and an effect variable set (partial least squares) and allows a complete reconstruction of the recorded data (principal component analysis). The new and conceptually simpler EPLS algorithm has successfully been applied in detecting and diagnosing various fault conditions, where the original EPLS algorithm did only offer fault detection.