El traslado del Congreso anfictiónico de Panamá al poblado de Tacubaya (1826-1828)

El artículo estudia el traslado del Congreso anfictiónico de Panamá a Tacubaya y los diversos intentos de instalación de la 'Asamblea americana' en México entre 1826 y 1828. Su propósito es escalonado: primero identifica los significados decisionales relevantes para comprender el fracaso del proyecto y, enseguida, delimita la autonomía analítica del episodio mexicano del Congreso de Bolívar.

The formative platform of the Congress of Panama (1810-1826): the Pan-American conjecture revisited

This article examines the formative platform of the Congress of Panama of 1826. It seeks to support the hypothesis that the nature and scope of the first test of integration in the Western Hemisphere depended critically on the platform created by Simón Bolívar and other Latin American Independence heroes from the Declaration of Independence of Venezuela in 1810 until the last bilateral agreement of 1826. In that respect, it corroborates the Latin American Identity of the initiative.

Estudo comparativo da genitália externa masculina de duas espécies de Zelurus Hahn, 1826 (Hemiptera, Reduviidae, Reduviianae)

Objetivando estabelecer novos parâmetros taxonômicos para o gênero Zelurus Hahn, 1826, foi feito um estudo detalhado e comparativo da genitália externa dos machos de duas espécies: Z. circumcinctus (Hahn, 1835) lepeletierianus (Kirdaldy, 1909). Foram evidenciadas como mais representativas as seguintes estruturas fálicas: processo do pigóforo, parâmetro, falosoma, suporte do falosoma e processo 2 do endosoma.

Artificial neural networks (ANN): prediction of sensory measurements from instrumental data

The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combinations of fat and water were evaluated. The measurements obtained by the instrumental and sensory analyses of these formulations constituted the data set used for training and validation of the network. Network training was performed using a back-propagation algorithm. The network architecture selected was composed of 8-3-9-2 neurons in its layers, which quickly and accurately predicted the sensory texture attributes studied, showing a high correlation between the predicted and experimental values for the validation data set and excellent generalization ability, with a validation RMSE of 0.0506.