A Bayesian model for longitudinal circular data

The analysis of short longitudinal series of circular data may be problematic and to some extent has not been completely developed. In this paper we present a Bayesian analysis of a model for such data. The model is based on a radial projection onto the circle of a particular bivariate normal distribution. Inferences about the parameters of the model are based on samples from the corresponding joint posterior density which are obtained using a Metropolis-within-Gibbs scheme after the introduction of suitable latent variables. The procedure is illustrated both using a simulated data set and a realdata set previously analyzed in the literature.Circular data, Longitudinal data, Gibbs sampler, Latent variables, Mixed-effects linear models, Projected normal distribution

A Bayesian model for longitudinal circular data

The analysis of short longitudinal series of circular data may be problematic and to some extent has not been completely developed. In this paper we present a Bayesian analysis of a model for such data. The model is based on a radial projection onto the circle of a particular bivariate normal distribution. Inferences about the parameters of the model are based on samples from the corresponding joint posterior density which are obtained using a Metropolis-within-Gibbs scheme after the introduction of suitable latent variables. The procedure is illustrated both using a simulated data set and a realdata set previously analyzed in the literature

Hydro Power Plants as Disputed Infrastructures in Latin America

Non-violent methods can strongly support achieving the 2030 Agenda of sustainable development goals, increasing energy efficiency and access in the poorest countries. However, hydroelectric power stations are disputed strategic elements in any region of the world. This paper analyzes, firstly, the role of hydroelectric power stations as elements that have been generating conflicts in Latin America in the period 1982–2018 and, secondly, the conflicts themselves. The results show that indigenous peoples face the most significant risks from constructing dams and, consequently, they are the primary opponents of hydroelectric projects

A review of Huacaya alpacas fiber traits

Se realiza una revisión de las principales características productivas (peso de vellón sucio y finura) y tecnológicas (coeficiente de variación de la finura, finura al hilado, índice de curvatura, factor de confor y longitud de mecha) del vellón de la fibra de alpaca, así como de los principales factores medioambientales que afectan dichas características, a fin de demostrar las bondades que tiene la fibra de alpaca para la industria textil, en comparación de las características que se encuentran en otras especies animales. Se llega a la conclusión de que en Huancavelica (Perú) se encuentra un buen potencial para la producción de fibra de alpaca, en cantidad y calidad.A review of the main production (dirty fleece weight and fineness) and technological traits (coefficient of variation of fineness, spinning finennes, curvature index, comfort factor and staple length) of Huacaya alpaca fleece. Also, we attend major environmental factors affecting these characteristics to demonstrate the benefits that alpaca fiber have for the textile industry, in comparison of the features in other animal species. We are concluding that in Huancavelica, Peru is a good potential for the production of fiber for quality and quantity

Natural-cycle in vitro fertilization (IVF) combined with in vitro maturation in infertile patients with polycystic ovarian syndrome (PCOS) requiring IVF

REPA is supported by CONACYT (329705) Mexico and Elphinstone scholarships and a fellowship from IBSA Foundation.Peer reviewedPublisher PD