A5065345060- Mathematical Dynamics and Fractals
- Complex Systems and Time Series Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Theoretical and Computational Physics
- Nonlinear Dynamics and Pattern Formation
- Health Systems, Economic Evaluations, Quality of Life
- Spectroscopy Techniques in Biomedical and Chemical Research
- Spatial and Panel Data Analysis
- Global Health Care Issues
- Gene Regulatory Network Analysis
- Evolution and Genetic Dynamics
- Mesenchymal stem cell research
- Neural Networks and Applications
- Stochastic processes and statistical mechanics
- Spectroscopy and Chemometric Analyses
- Advanced Thermodynamics and Statistical Mechanics
- Neural Networks Stability and Synchronization
- Extracellular vesicles in disease
- Fault Detection and Control Systems
- Economic theories and models
- Metabolomics and Mass Spectrometry Studies
- Lubricants and Their Additives
- Chaos control and synchronization
- Sustainability and Ecological Systems Analysis
- Color Science and Applications
Instituto Politécnico de Lisboa
2012-2024
University of Lisbon
2017-2024
In the phase III IMpassion130 trial, combining atezolizumab with first-line nanoparticle albumin-bound-paclitaxel for advanced triple-negative breast cancer (aTNBC) showed a statistically significant progression-free survival (PFS) benefit in intention-to-treat (ITT) and programmed death-ligand 1 (PD-L1)-positive populations, clinically meaningful overall (OS) effect PD-L1-positive aTNBC. The KEYNOTE-355 trial adding pembrolizumab to chemotherapy aTNBC similar PFS effects. IMpassion131...
In this work a new probabilistic and dynamical approach to an extension of the Gompertz law is proposed. A generalized family probability density functions, designated by $Beta^*(p,q)$, which proportional right hand side Tsoularis-Wallace model, studied. particular, for $p = 2$, investigation extended extreme value models Weibull Fréchet type. These models, described differential equations, are hyper-Gompertz growth model. It proved that $Beta^*(2,q)$ densities power betas mixture, its...
We present a new dynamical approach to the Blumberg's equation, family of unimodal maps. These maps are proportional $Beta(p,q)$ probability densities functions. Using symmetry distribution and symbolic dynamics techniques, concept mirror is defined for this The kneading theory used analyze effect such in presented models. main result proves that two symmetric have same topological entropy. Different population regimes identified, when intrinsic growth rate modified: extinctions,...
We consider populations growth models with Allee effect, proportional to beta densities shape parameters p and 2, where the dynamical complexity is related Malthusian parameter r. For p>2, these exhibit a population dynamics natural effect. However, in case of 1<p⩽2, proposed do not include this In order inforce it, we present some alternative investigate their dynamics, presenting important results.
In this work we establish new one-dimensional discrete dynamical systems: a family of unimodal maps that is proportional to the right hand side Richards’ growth equation. We investigate in detail bifurcation structure functions, on twodimensional parameter space (β,r), where β shape parameter, related with growth-retardation phenomena, and r intrinsic rate. Sufficient conditions are provided for occurrence extinction, stability, period doubling, chaos non admissibility dynamics. consider...
A dynamical approach to study the behaviour of generalized populational growth models from Beta(p, 2) densities, with strong Allee effect, is presented. The analysis respective unimodal maps performed using symbolic dynamics techniques. complexity correspondent discrete systems measured in terms topological entropy. Different regimes are obtained when intrinsic rates modified: extinction, bistability, chaotic semistability and essential extinction.
Using symbolic dynamic techniques, populational growth models proportional to beta densities, are investigated. Our results give explicit methods investigate the chaotic behaviour of models, when malthusean parameter increases. The complexity is measured in terms topological entropy.
The Portuguese National Health Line, LS24, is an initiative of the Ministry which seeks to improve accessibility health care and rationalize use existing resources by directing users most appropriate institutions national public services. This study aims describe evaluate LS24. Since for LS24 data, location attribute important source information its use, this analyses number calls received, at a municipal level, under two different spatial econometric approaches. analysis future development...
A dynamical approach to study the behaviour of generalized populational growth models from Beta(p, 2) densities, with strong Allee effect, is presented. The analysis respective unimodal maps performed using symbolic dynamics techniques. complexity correspondent discrete systems measured in terms topological entropy. Different regimes are obtained when intrinsic rates modified: extinction, bistability, chaotic semistability and essential extinction.
The iterative elimination of the middle spacing in random division intervals with two points ldquoat randomrdquo - narrow sense uniformly distributed generates a Cantor set. We compute Hausdorff dimension (which intuitively evaluates how ldquodenserdquo set is) third set, and we verify that although deterministic is expectation it more dense than its stochastic counterpart. This can be explained by dependence order statistics.
Abstract Structural modifications of known antibiotic scaffolds have kept the upper hand on resistance, but we are verge not having antibiotics for many common infections. Mechanism‐based discovery assays reveal novelty, exclude off‐target liabilities, and guide lead optimization. For that, developed a fast automatable protocol using high‐throughput Fourier‐transform infrared spectroscopy (FTIRS). Metabolic fingerprints Staphylococcus aureus Escherichia coli exposed to 35 compounds,...
Starting from the random extension of Cantor middle set in [0,1], by iteratively removing central uniform spacing intervals remaining previous step, we define Beta(p,1)Cantor sets, and compute their Hausdorff dimension. Next a deterministic counterpart, expected value defined appropriate Beta(p,1) order statistics. We investigate reasons why dimension this fractal is greater than corresponding fractals.
In this work we develop and investigate generalized populational growth models, adjusted from Beta(p, 2) densities, with Allee effect. The use of a positive parameter C leads the presented generalization, which yields some more flexible models variable extinction rates. An limit is incorporated so that under study have strong
We present new populational growth models, generalized logistic models which are proportional to beta densities with shape parameters p and 2, where > 1, Malthusian parameter r. The complex dynamical behaviour of these is investigated in the space (r, p), terms topological entropy, using explicit methods, when r increases. This split into different regions, according chaotic models.