A5067873027- Model Reduction and Neural Networks
- Probabilistic and Robust Engineering Design
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Cellular transport and secretion
- Innovative Energy Harvesting Technologies
- Underwater Vehicles and Communication Systems
- Lipid Membrane Structure and Behavior
- Hydraulic flow and structures
- Numerical methods for differential equations
- Energy Harvesting in Wireless Networks
- Flood Risk Assessment and Management
- Water Systems and Optimization
- Complement system in diseases
- Stonefly species taxonomy and ecology
- Magnetic Properties and Applications
- Image and Signal Denoising Methods
- Meteorological Phenomena and Simulations
- Differential Equations and Numerical Methods
- Nuclear Engineering Thermal-Hydraulics
- Neural Networks and Applications
- Hydrology and Watershed Management Studies
- Control Systems and Identification
- Wave and Wind Energy Systems
- Wireless Power Transfer Systems
University of Rijeka
2009-2024
The irruption of gas and oil into the Gulf Mexico during Deepwater Horizon event fed a deep sea bacterial bloom that consumed hydrocarbons in affected waters, formed regional oxygen anomaly, altered microbiology region. In this work, we develop coupled physical–metabolic model to assess impact mixing processes on these ocean communities their capacity for hydrocarbon use. We find observed biodegradation patterns are well-described by exponential growth bacteria from seed populations present...
Abstract Future state prediction for nonlinear dynamical systems is a challenging task. Classical theory based on a, typically long, sequence of prior observations and rooted in assumptions statistical stationarity the underlying stochastic process. These algorithms have trouble predicting chaotic dynamics, “Black Swans” (events which never previously been seen observed data), or where driving process fundamentally changes. In this paper we develop (1) global local algorithm that can handle...
For any nonautonomous dynamical system, the family of Koopman operators, as well related eigenvalues and eigenfunctions, is parameterized by a time pair. Therefore, logical approach in data-driven algorithms for mode decomposition application dynamic (DMD) method on moving stencils snapshots order to capture dependency. In this paper, we investigate issues that arise such an approach. These do not appear if use stencil model fitting method; they significant errors computed operator...
With an increasing number of endosomal cargo molecules studied, it is becoming clear that endocytic routes are diverse, and the cell uses more pathways to adjust expression surface proteins. Intracellular itinerary integral membrane proteins avoid early recycling route not enough studied. Therefore, we studied trafficking empty Ld (eLd ) molecules, open form murine MHC-I allele, in fibroblast-like cells. Pulse labeling eLd with mAbs internalization kinetics suggest two steps recycling: rapid...
In this report, we present an analysis of several recycling protocols based on labeling membrane proteins with specific monoclonal antibodies (mAbs). We analyzed that are internalized by clathrin-dependent endocytosis, represented the transferrin receptor, and clathrin-independent Major Histocompatibility Class I molecules. Cell surface were labeled mAbs mAb:protein complexes was determined approaches. Our study demonstrates direct indirect detection recycled at cell underestimate pool,...
The importance of spatial resolution for two-dimensional shallow-water model accuracy has been investigated by testing the effect mesh refinement on two test cases based laboratory dam-break experiments. A balanced first-order accurate upwind Q-Scheme and a second-order Hancock Monotone Upstream-centered Scheme Conservation Laws scheme were both first validated an analytical test, then applied to experimental four meshes different density. Simulation results evaluated through comparison...
A new approach to numerical modeling of water hammer is proposed. An unsteady pipe flow model incorporating Brunone’s friction used, but in contrast the standard treatment term as a source term, writers propose nonconservative formulation term. Second-order flux limited and high order weighted essentially nonoscillating schemes were applied proposed formulation, results are better agreement with measurements when compared obtained form.
The problem of prediction behavior dynamical systems has undergone a paradigm shift in the second half 20th century with discovery possibility chaotic dynamics simple, physical, for which laws evolution do not change time. essence is long term exponential divergence trajectories. However, that does account another type unpredictability: ``Black Swan" event. It also fact short-term often possible even divergence. In our framework, Black Swan occurs when an underlying system suddenly shifts...
For every non-autonomous system, there is the related family of Koopman operators $\mathcal{K}^{(t,t_0)}$, parameterized by time pair $(t,t_0)$. In this paper we are investigating dependency spectral properties operator in linear case and propose an algorithm for computation its spectrum from observed data only. To build use concept fundamental matrix systems some specific aspects Arnoldi-like methods. particular, methods on local stencils, exploit information contained Krylov subspace...
There is an evident need for monitoring pollutants and/or other conditions in river flows via wireless sensor networks. In a typical network topography, series of nodes to be deployed the environment, all wirelessly connected each their gateways. Each node composed active electronic devices that have constantly powered. general, batteries can used this purpose, but problems may occur when they replaced. case large networks, placed hardly accessible locations, energy harvesting thus viable...
In this paper we consider the Koopman operator associated with discrete and continuous time random dynamical system (RDS). We provide results that characterize spectrum eigenfunctions of stochastic different types linear RDS. Then RDS for which family is a semigroup, especially those generator can be determined. define Hankel DMD (sHankel-DMD) algorithm numerical approximations spectral objects (eigenvalues, eigenfunctions) prove its convergence. apply methodology to variety examples,...