DOSE-RESPONSE ANALYSIS IN THE JOINT ACTION OF TWO EFFECTORS. A NEW APPROACH TO SIMULATION, IDENTIFICATION AND MODELLING OF SOME BASIC INTERACTIONS.

Dose-response analysis in the joint action of two effectors. A new approach to simulation, identification and modelling of some basic interactions.

In systems with several effectors, the results of dose-response (DR) experiments are usually assessed by checking them against two hypotheses: independent action (IA) and concentration addition (CA).Both are useful simplifications, but do not represent the only possible responses, and avoid to a large extent the analysis of the interactions that ar

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Supernumerary teeth at primary and permanent dentition

Development disturbance originate in the odonthogenesis and begin around the 40TH week.It might occur on both Circuit Board Accessories dentitions, being scarcer in the primary one.Several hypotheses are mentioned for etiology of the supernumerary teeth and, among them, that one about hyperactivity of the Dental Blade, what would cause increment in

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Time Deixis in Engineering Discourse

Nowadays, it has become commonly accepted that the meaning of linguistic elements is interconnected with the context of their use.Deixis is one of the classical pragmatic phenomena that illustrates that context-dependence is inherent in language as meaning of deictic expressions cannot be constructed without the identification of the speech event w

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Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

Landslide susceptibility prediction (LSP) modeling is an important and challenging problem.Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models.In this study, a deep-learning-based model using the long short-term memory (LSTM) recurrent neu

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