A5005501221- Opinion Dynamics and Social Influence
- Evolutionary Game Theory and Cooperation
- Complex Systems and Time Series Analysis
- Gut microbiota and health
- Food Security and Health in Diverse Populations
- Diet and metabolism studies
- Sustainability and Ecological Systems Analysis
- Complex Network Analysis Techniques
- Ecosystem dynamics and resilience
- Complex Systems and Decision Making
- Epigenetics and DNA Methylation
- Nutritional Studies and Diet
- Iron-based superconductors research
- Physics of Superconductivity and Magnetism
San Diego State University
2023-2024
Universitat Rovira i Virgili
2018-2023
Ruhr University Bochum
2018
Asia Pacific Center for Theoretical Physics
2018
Recent advancements in translational gut microbiome research have revealed its crucial role shaping predictive healthcare applications. Herein, we introduce the Gut Microbiome Wellness Index 2 (GMWI2), an enhanced version of our original GMWI prototype, designed as a standardized disease-agnostic health status indicator based on taxonomic profiles. Our analysis involves pooling existing 8069 stool shotgun metagenomes from 54 published studies across global demographic landscape (spanning 26...
Abstract A key question in human gut microbiome research is what are the robust structural patterns underlying its taxonomic composition. Herein, we use whole metagenomic datasets from healthy guts to show that such do exist, albeit not conventional enterotype sense. We first introduce concept of mixed-membership enterotypes using a network inference approach based on stochastic block models. find microbiomes across group people (hosts) display nested structure, which has been observed...
Advancing our understanding of human behavior hinges on the ability theories to unveil mechanisms underlying such behaviors. Measuring and models predict unobserved behaviors provides a principled method evaluate their merit and, thus, help establish which are most plausible. Here, we propose develop rigorous inference approaches strategic decisions in dyadic social dilemmas. In particular, use bipartite stochastic block that incorporate information about dilemmas faced by individuals. We...
Abstract Many studies have shown that there are regularities in the way human beings make decisions. However, our ability to obtain models capture such and can accurately predict unobserved decisions is still limited. We tackle this problem context of individuals who given information relative evolution market prices asked guess direction market. use a networks inference approach with stochastic block (SBM) find model network representation most predictive Our results suggest users mostly...
We develop the realistic minimal electronic model for recently discovered BiS$_2$ superconductors including spin-orbit coupling based on a first-principles band structure calculations. Due to strong coupling, characteristic Bi-based systems, tight-binding low-energy necessarily includes $p_x$, $p_y$, and $p_z$ orbitals. analyze potential Cooper-pairing instability from purely repulsive interaction moderate correlations using so-called leading angular harmonics approximation (LAHA). For small...
Abstract Recent advancements in human gut microbiome research have revealed its crucial role shaping innovative predictive healthcare applications. We introduce Gut Microbiome Wellness Index 2 (GMWI2), an advanced iteration of our original GMWI prototype, designed as a robust, disease-agnostic health status indicator based on taxonomic profiles. Our analysis involved pooling existing 8069 stool shotgun metagenome data across global demographic landscape to effectively capture biological...
Abstract All dynamical systems are transient. The dynamics of our world at biogeochemical, ecological, and astronomical scales exist in a transient state because the Earth, Sun, universe evolving toward thermodynamic equilibrium. However, predicting tipping points associated with major shifts these remains significant challenge. Here, we introduce new theoretical framework to predict points. Our approach builds on two empirical principles: Observations occur over finite time, changes...
Many studies have shown that there are regularities in the way human beings make decisions. However, our ability to obtain models capture such and can accurately predict unobserved decisions is still limited. We tackle this problem context of individuals who given information relative evolution market prices asked guess direction market. use a networks inference approach with stochastic block (SBM) find model network representation most predictive Our results suggest users mostly recent...