A5003819222- Complex Systems and Time Series Analysis
- Geophysics and Gravity Measurements
- Market Dynamics and Volatility
- Chaos control and synchronization
- Time Series Analysis and Forecasting
- Financial Risk and Volatility Modeling
- Matrix Theory and Algorithms
- Stock Market Forecasting Methods
- Electromagnetic Scattering and Analysis
- Body Contouring and Surgery
- Tensor decomposition and applications
- Radioactivity and Radon Measurements
- Oceanographic and Atmospheric Processes
- Mathematical Analysis and Transform Methods
- Earthquake Detection and Analysis
- Nonlinear Dynamics and Pattern Formation
- Theoretical and Computational Physics
- Numerical methods for differential equations
- Innovation Diffusion and Forecasting
- Topological and Geometric Data Analysis
- Birth, Development, and Health
- Radioactive contamination and transfer
- Education during COVID-19 pandemic
- Numerical Methods and Algorithms
- Cocoa and Sweet Potato Agronomy
Universidade do Porto
1999-2024
Suzano (Brazil)
2024
Hospital de São João
1997
Although infections resulting from cosmetic surgery performed outside the United States have been regularly reported, deaths rarely identified.During 2009-2022, 93 U.S. citizens died after receiving in Dominican Republic.The number of increased a mean 4.1 per year during 2009-2018 to 13.0 2019-2022 with peak 17 2020.A subset postcosmetic occurring years was investigated, and most were found be result embolic events (fat emboli or venous thromboembolism) for which high proportion patients who...
Abstract Polynomial approximation of smooth functions is becoming increasingly important in fields like numerical analysis and scientific computing. These approximations are vital models that rely on spectral methods. To reduce the memory costs for large dimensional problems, various methods to provide data-sparse representations have been proposed, including based singular value decomposition, adaptive cross approximation, matrices with hierarchical low-rank structures, mention a few. This...
The purpose of paper is to assess the long-term memory stock index returns in pan-European platform Euronext (CAC-40, AEX, BEL-20 and PSI-20). We find evidence time dependency much data, suggesting that series may best be described as fractional Brownian motion. Modified Rescaled-Range Analysis Detrended Fluctuation were used measure degree long memory. global Hurst exponents persistent Dutch, Belgian Portuguese markets. In French market, inconsistent weak. Fractal structure suggests...
We investigate the properties of matrices that emerge from application Fourier series to Jacobi matrices. Specifically, we focus on functions defined by coefficients a expressed in orthogonal polynomials. In operational formulation integro-differential problems, these infinite play fundamental role. have derived precise calculation formulas for their elements, enabling exact computation Numerical results illustrate effectiveness our approach.
<title>Abstract</title> <italic>Eucalyptus urophylla</italic> is one of the most economically important species in world due to its wood quality and tolerance water stress. Understanding genetic composition at population level this essential for sustainable efficient management utilization resources. This study describes diversity structure <italic>E. from progenies collected on four islands Indonesia (Wetar, Timor, Lembata, Adonara) conserved ex situ Brazil. A total 692 open-pollinated...
In this paper, we introduce a novel algorithm, based on the wavelet transform, to measure stock market development. This algorithm is applied return series of fourteen worldwide indices from 1996 2005. We find that comparison in terms quantity fractional Gaussian noise (fGn), for different values Hurst exponent (H), facilitates classification markets according their degree also observe simple into “emerging” or “developing” and “mature” “developed” no longer sufficient. However, can be...
We use a new method of studying the Hurst exponent with time and scale dependency. This approach allow us to recover major events affecting worldwide markets (such as September 11th terrorist attack) analyze way those effects propagate through different scales. The time-scale dependence referred measures demonstrates relevance entropy in distinguishing several characteristics market indices: "effects" include early awareness, patterns evolution well comparative behaviour distinctions...
With the fast advances in computational sciences, there is a need for more accurate computations, especially large-scale solutions of differential problems and long-term simulations. Amid many numerical approaches to solving problems, including both local global methods, spectral methods can offer greater accuracy. The downside that often require high-order polynomial approximations, which brings instability issues problem resolution. In particular, large condition numbers associated with...