A5019302049- Fractional Differential Equations Solutions
- stochastic dynamics and bifurcation
- Insect behavior and control techniques
- Insect-Plant Interactions and Control
- Diffusion and Search Dynamics
- Insect and Pesticide Research
- Hydrology and Drought Analysis
- Complex Systems and Time Series Analysis
- Research on scale insects
- Insect Pest Control Strategies
- Hemiptera Insect Studies
- Climate variability and models
- Plant and animal studies
- Probabilistic and Robust Engineering Design
- Landslides and related hazards
- Statistical Mechanics and Entropy
National University of Singapore
2023
Valencian International University
2023
Universitat Politècnica de València
2020-2021
Universitat de València
2020
Cranberry Institute
2019
Rutgers, The State University of New Jersey
2019
Deviations from Brownian motion leading to anomalous diffusion are ubiquitously found in transport dynamics, playing a crucial role phenomena quantum physics life sciences. The detection and characterization of the measurement an individual trajectory challenging tasks, which traditionally rely on calculating mean squared displacement trajectory. However, this approach breaks down for cases important practical interest, e.g., short or noisy trajectories, ensembles heterogeneous non-ergodic...
Abstract The results of the Anomalous Diffusion Challenge (AnDi Challenge) (Muñoz-Gil G et al 2021 Nat. Commun. 12 6253) have shown that machine learning methods can outperform classical statistical methodology at characterization anomalous diffusion in both inference exponent α associated with each trajectory (Task 1), and determination underlying diffusive regime which produced such trajectories 2). Furthermore, five teams finished top three across tasks AnDi Challenge, those used...
Anomalous diffusion is present at all scales, from atomic to large ones. Some exemplary systems are ultracold atoms, telomeres in the nucleus of cells, moisture transport cement-based materials, arthropods' free movement, and birds' migration patterns. The characterization gives critical information about dynamics these provides an interdisciplinary framework with which study diffusive transport. Thus, problem identifying underlying regimes inferring anomalous exponent α high confidence...
Integrated pest management (IPM) programs for the spotted-wing drosophila Drosophila suzukii (Diptera: Drosophilidae) rely on insecticide applications to reduce adult populations and prevent fruit infestation. Although monitoring traps are used early D. detection time start of applications, it remains unclear whether trap counts can be determine efficacy these predict risk To address this, a 2-yr study (2016-2017) was conducted in highbush blueberries New Jersey (USA) interpret count...
This 2-year study (2013-2014) assessed the efficacy of an odor-baited "trap bush" approach to aggregate plum curculio, Conotrachelus nenuphar, adult injury, i.e., number oviposition-scared fruit, in four commercial highbush blueberry farms New Jersey (USA). In each farm, we compared fruit injury bushes baited with grandisoic acid and benzaldehyde along perimeter trap-bush plots versus unbaited control plots. We also measured amount neighboring (i.e., spillover effect) plots' interior. both...
Abstract Due to changes in pest management practices, farmers’ reports of severe feeding injury cranberries, Vaccinium macrocarpon Aiton Ericales: Ericaceae, caused by the cranberry toad-bug, Phylloscelis rubra Ball, have increased recent years New Jersey (United States). Currently, however, limited information is available on effects P. or density individuals needed cause vines and fruit. In 2015‒2017, we conducted studies characterize at a range densities using cages screen-house field,...
The results of the Anomalous Diffusion Challenge (AnDi Challenge) have shown that machine learning methods can outperform classical statistical methodology at characterization anomalous diffusion in both inference exponent alpha associated with each trajectory (Task 1), and determination underlying diffusive regime which produced such trajectories 2). Furthermore, five teams finished top three across tasks AnDi challenge, those used recurrent neural networks (RNNs). While RNNs, like long...