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Title: Selectionism: Complex outcomes from simple processes
Author: Perez-Fonseca, A.A.
Robledo-Ortiz, J.R.
Moscoso-Sanchez, F.J.
Fuentes-Talavera, F.J.
Rodrigue, D.
Gonzalez-Nunez, R.
Issue Date: 2015
Abstract: This work investigates the combination of different fiber sizes (self-hybridization) on the mechanical properties of composite materials. High density polyethylene composites based on agave and pine fibers were prepared using different ratios of long and short fibers. Furthermore, the effect of coupling agent (maleated polyethylene) versus self-hybridization was evaluated. Several studies in the past have shown that coupling agents can improve the mechanical properties of natural fiber composites. Nevertheless, this study shows that a combination of two particle sizes is also an interesting option to increase mechanical properties like impact strength, as well as tensile and flexural moduli. On the other hand, the presence of coupling agent enhanced the fiber-matrix interfacial adhesion and its effect was more evident on the tensile strength. " 2015, Springer Science+Business Media New York.",,,,,,"10.1007/s10924-014-0706-3",,,"","",,,,,,"1",,"Journal of Polymers and the Environment",,"126
WOS",,,,,,"Coupling agent; Mechanical properties; Natural fibers; Self-hybrid composites",,,,,,"Self-hybridization and Coupling Agent Effect on the Properties of Natural Fiber/HDPE Composites",,"Article" "46213","123456789/35008",,"Donahoe, J.W., Department of Psychology, University of Massachusetts at Amherst, Amherst, MA 01002, United States; Burgos, J.E., Centro de Estudios e Investigaciones en Comportamiento, University of Guadalajara, Guadalajara, Jalisco 45030, Mexico",,"Donahoe, J.W.
Burgos, J.E.",,"2005",,"Both the target article and the precommentary demonstrate that relatively simple biobehavioral processes have the cumulative effect of fostering behavioral outcomes characteristic of attention-deficit/ hyperactivity disorder (ADHD). As such, the articles illustrate a central theme of Darwinian thinking - basic processes acting over time can produce complex and diverse outcomes. In this commentary, we indicate that tracing the action of processes over time can be facilitated by quantitative methods such as artificial neural networks. " 2005 Cambridge University Press.
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