Instituto Tecnológico Autónomo de México

About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.

Why Democracy Protests Do Not Diffuse

Abstract: One of the primary international factors proposed to explain the geographic and temporal clustering of democracy is the diffusion of democracy protests. Democracy protests are thought to diffuse ac...

Product Liability versus Reputation

Abstract: Market reputation is often perceived as a cheaper alternative to product liability in the provision of safety incentives. We explore the interaction between legal and reputational sanctions using the idea that inducing safety through reputation requires implementing costly "market sanctioning" mechanisms. We show that law positively affects the functioning of market reputation by reducing its costs. We also show that reputation and product liability are not just substitutes but also complements. We analyze the effects of different legal policies, and namely that negligence reduces reputational costs more intensely than strict liability, and that court errors in determining liability interfere with reputational cost reduction through law. A more general result is that any variant of an ex post liability rule will improve the functioning of market reputation in isolation. We complicate the basic analysis with endogenous prices and observability by consumers of the outcome of court’s decisions. (JEL K13, K23, L51, H24)

Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State

Abstract: Cardiotocographic CTG monitoring, consisting in analysis of the fetal heart rate, uterine contractions, and fetal movements is the primary noninvasive method for the fetal state assessment. The visual interpretation of the CTG signals is characterized by the large inter-and intraobserver disagreement. Hence, the automated methods supporting the diagnosis process are the topic of researches. In the presented study, the evaluation of the CTG signals, based on fuzzy clustering with pairs of prototypes, is described. The efficiency of the proposed method is verified using two benchmark datasets of the CTG signals CTU-UHB and SisPorto, and the problems of the two-and three-class classification are considered. The obtained results show the improved quality of the automated fetal state assessment in accordance with the applied reference procedures: the fuzzy c+p-means clustering and the Lagrangian Support Vector Machines.