Universidad del Desarrollo

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Self-select groups increase stability but reduce collaboration in high school physics
(American Physical Society (APS), 2025-06-09)
Diego Ramírez
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Eugenio J. Guzmán-Lavín
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Javier Pulgar
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CANDIA VALLEJOS, CRISTIAN ESTEBAN
Group configurations shape social skills and learning outcomes by fostering student interaction and collaboration. Yet, the factors influencing group formation, social cohesion, and group stability have remained understudied in physics education. Here, we examine these factors in a cohort of 90 students from ninth and tenth grades at a private school in Chile. For a semester-long physics project, students were assigned to groups either through random allocation (control group) or given the autonomy to form their own groups (experimental group). Our findings indicate that the groups formed by choice developed stronger friendship bonds throughout the semester, while the groups formed randomly demonstrated greater levels of cooperation and more frequent changes in membership, suggesting weaker social cohesion. Additionally, tenth-grade students were more likely to stay in their original groups, possibly indicating increased social maturity. These findings emphasize the ongoing challenge in education of balancing student choice in group formation with the need for diverse group compositions that enhance learning. This study provides practical recommendations for physics teachers and researchers.
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Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile
(Public Library of Science (PLoS), 2025-02-20)
Pasquale Casaburi
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Lorenzo Dall’Amico
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Nicolò Gozzi
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Kyriaki Kalimeri
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Anna Sapienza
The COVID-19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic characteristics shaped population response during restrictions and how repeated interventions eroded adherence over time. Less is known about how different population strata changed their response to repeated interventions and how this impacted the resulting mobility network. We study population response during the first and second infection waves of the COVID-19 pandemic in Chile and Spain. Via spatial lag and regression models, we investigate the adherence to mobility interventions at the municipality level in Chile, highlighting the significant role of wealth, labor structure, COVID-19 incidence, and network metrics characterizing business-as-usual municipality connectivity in shaping mobility changes during the two waves. We assess network structural similarities in the two periods by defining mobility hotspots and traveling probabilities in the two countries. As a proof of concept, we simulate and compare outcomes of an epidemic diffusion occurring in the two waves. While differences exist between factors associated with mobility reduction across waves in Chile, underscoring the dynamic nature of population response, our analysis reveals the resilience of the mobility network across the two waves. We test the robustness of our findings recovering similar results for Spain. Finally, epidemic modeling suggests that historical mobility data from past waves can be leveraged to inform future disease spatial invasion models in repeated interventions. This study highlights the value of historical mobile phone data for building pandemic preparedness and lessens the need for real-time data streams for risk assessment and outbreak response. Our work provides valuable insights into the complex interplay of factors driving mobility across repeated interventions, aiding in developing targeted mitigation strategies.
2
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Qualitative and quantitative educational disparities and brain signatures in healthy aging and dementia across global settings
(Elsevier BV, 2025-04)
Raul Gonzalez-Gomez
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Josephine Cruzat
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Hernán Hernández
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Joaquín Migeot
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Agustina Legaz
Scopus© Citations 4 3
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High earnings through firm influence: the role of hierarchical structures in public procurement
(Springer Science and Business Media LLC, 2025-03-31)
Niclas Frederic Sturm
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CANDIA VALLEJOS, CRISTIAN ESTEBAN
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Bruno Damásio
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Flávio L. Pinheiro
Scopus© Citations 2 2
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How modular structure determines operational resilience of power grids
(2021)
Heetae Kim
The synchronization stability has been analyzed as one of the important dynamical characteristics of power grids. In this study, we bring the operational perspective to the synchronization stability analysis by counting not only full but also partial synchronization between nodes. To do so, we introduce two distinct measures that estimate the operational resilience of power-grid nodes: functional secureness centrality and functional robustness centrality. We demonstrate the practical applicability of the measures in a model network motif and an IEEE test power grid. As a case study of German power grid, we reveal that the modular structure of a power grid and particular unidirectional current flow determine the distribution of the operational resilience of power-grid nodes. Reproducing our finding on clustered benchmark networks, we validate the modular effect on power grid stability and confirm that our measures can be the insightful tools to understand the power grids’ synchronization dynamics.
17Scopus© Citations 3
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Erratum: How modular structure determines operational resilience of power grids (New Journal of Physics (2021) 23 (063029) DOI: 10.1088/1367-2630/ac0096)
(2021)
Heetae Kim
2

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