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David Becerra-Alonso

Researcher at Loyola University Chicago

Publications -  30
Citations -  152

David Becerra-Alonso is an academic researcher from Loyola University Chicago. The author has contributed to research in topics: Extreme learning machine & Artificial neural network. The author has an hindex of 5, co-authored 25 publications receiving 99 citations.

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High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation-associated versus preneurulation-associated fate patterning.

TL;DR: In this article, a robust in vitro platform for high-content screening of multiple human pluripotent stem cell (hPSC) lines for their ability to undergo peri-gastrulation-like fate patterning upon bone morphogenetic protein 4 (BMP4) treatment of geometrically confined colonies and observed significant heterogeneity in their differentiation propensities along a gastrulation associable and neuralization associable axis.
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Magnetization Dynamics Under a Quasiperiodic Magnetic Field

TL;DR: In this paper, the authors studied the deterministic spin dynamics of an anisotropic magnetic particle in the presence of a time dependent magnetic field using the Landau-Lifshitzitz-Gilbert equation.
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An assessment of the barriers to the consumers' uptake of genetically modified foods: a neural network analysis

TL;DR: The results show that the highest relative contributions lie in the variables related to perceived risks of GM food, while the perceived benefits have a lower influence.
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Hyper-chaotic Magnetisation Dynamics of Two Interacting Dipoles

TL;DR: In this article, a numerical study of the deterministic spin dynamics of two interacting anisotropic magnetic particles in the presence of a time-dependent external magnetic field using the Landau-Lifshitz equation is presented.
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EduZinc: a tool for the creation and assessment of student learning activities in complex open, online, and flexible learning environments

TL;DR: The development of an application for the grading and provision of feedback on educational processes, named EduZinc, enables instructors to go through the complete process of creating and evaluating the activities and materials of a course.