Existing methods for tracking changes in the quality of dairy products are characterized by difficulty, time consuming, a large number of calculation procedures and resources, which makes them unsuitable for “on-line” monitoring. In the present work, feature vectors containing color components, spectral indices and physicochemical parameters of the products are used. Methods for selection of informative features based on consistently improving assessments have been applied. Models by principal components and latent variables are derived. It has been proven that the models are adequate and can be used to predict the day of storage of yellow cheese and white brined cheese. The advantage of the proposed data processing procedures, comparing them with those reported in the available literature, is that they require less computational resources, which makes them suitable for use in “on-line” monitoring of the condition of dairy products during storage.
This paper presents an approach using control theory methods to monitor the effect of Angiotensin II (Ang II), AT1 and AT2 receptor subtypes on the visceral smooth muscle in ileum preparations. Since AT1 and AT2 are involved in feedback during the regulatory action of Ang II, it is convenient to block them with a suitable antagonist. In this way, three transients were obtained, which were identified by a second-order differential equation. The individual identification vector was calculated for each of the processes. The analysis of the models showed that when the PD 123319 blocker was applied, the amplitude of the responses to smooth muscle contractions increased. From this, it can be concluded that the AT2 type receptors have an AT1 antagonistic effect during the contractile process.
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