Contacts
Intranet
SK
| Innovative approaches to uncovering relationships and interactions within multivariate time measurements | |
| Inovatívne prístupy k odhaľovaniu vzťahov a interakcií v rámci multivariátnych časových meraní | |
| Program: | VEGA |
| Project ID: | 2/0094/26 |
| Duration: | 1.1.2026 – 31.12.2029 |
| Project leader: | RNDr. Krakovská Anna, CSc. |
| Annotation: | The project focuses on developing and applying methods for analyzing relationships between simultaneouslymeasured processes. After experience with bivariate causal detection, we now target multivariate cases, oftenmodelled as dynamical networks with time series at their nodes.We investigate Granger causality for autoregressive (AR) models and search for connections in reconstructedstate spaces when deterministic dynamics prevail. Transfer entropy, a strong representative of causal methods,will also be explored, including proposed modifications using alternative entropy measures. We also examine thepotential of machine learning methods in causal analysis.Expected outcomes include computational tools for more reliable detection of causal links and synchronisation,and for improved modelling, forecasting, and classification of the studied processes.The proposed methods will be validated on simulated data and applied to real measurements, such as effectivebrain connectivity and climate observations. |
| Multi-lead ECG measurement to create a personalized model of the electric field of the heart and research the possibilities of its use for the diagnosis and optimization of cardiac arrhythmia therapy | |
| Mnohozvodové meranie EKG na vytvorenie personalizovaného modelu elektrického poľa srdca a výskum možností jeho využitia na diagnostiku a optimalizáciu terapie srdcových arytmií | |
| Program: | VEGA |
| Project ID: | 2/0106/25 |
| Duration: | 1.1.2025 – 31.12.2028 |
| Project leader: | Ing. Švehlíková Jana, PhD. |
| Annotation: | In the proposed project, we plan to link multi-lead ECG measurements on the chest with a personalized model of the heart and chest of the measured patient obtained from a CT scan. We intend to implement the physiological properties of healthy myocardium into the heart chamber model, as well as some pathological morphological and structural changes, such as left ventricular hypertrophy or left bundle branch block in heart failure. Using simulations of activation propagation in the heart chambers, we will study changes in ECG signals in the above diagnoses, as well as the consequences of different settings of supportive stimulation in resynchronization therapy for heart failure. We will implement advanced methods of signal processing and calculation of selected characteristics in quasi-real time into a new multi-lead ECG measurement system with wireless data transmission to a control computer. |
| The application of Artificial Intelligence methods for improved Magnetic Resonance Imaging | |
| Použitie metód umelej inteligencie na zlepšenie zobrazovania pomocou magnetickej rezonancie | |
| Program: | VEGA |
| Project ID: | 2/0084/26 |
| Duration: | 1.1.2026 – 31.12.2028 |
| Project leader: | RNDr. Krafčík Andrej, PhD. |
| Annotation: | Magnetic Resonance (MR) is a widely used, useful diagnostic tool. However, since the measured signal isinfluenced by many factors (e.g., by the amount of biogenic contrast agents), quantitative analysis is difficult andlengthy. Therefore, the proposed project aims to model the influence of biogenic nanoparticles of ferritin on MRsignal and to use artificial intelligence for automated analysis (identification, segmentation and volumetry) ofstructures in MR images of joint, muscles and the heart. Advanced deep learning methods will be used for thesetasks. In addition, the project will focus on design and implementation of novel acquisition and calibrationsequences and protocols for metabolic and structural MR imaging. The project will also analyse the physiologicalresponse of MR measurements on cardiovascular system through wearable optical sensors. |
| Effects of low-frequency and pulsed electromagnetic fields at a cellular level | |
| Účinky nízkofrekvenčných a pulzných elektromagnetických polí na bunkovej úrovni | |
| Program: | VEGA |
| Project ID: | VEGA 2/0160/25 |
| Duration: | 1.1.2025 – 31.12.2028 |
| Project leader: | Mgr. Teplan Michal, PhD. |
| Annotation: | Although there is ongoing interest in the adverse and beneficial effects of electromagnetic fields (EMF), a clearexplanation of EMF\’s influence on living structures is lacking. To investigate low-frequency (LF) magnetic fields(MF), we will enhance our experimental platform to test their possible inhibitory or stimulatory effects based onfrequency and magnetic flux density parameters. As a model organism yeast strain Saccharomyces cerevisiaewill be used. Its response to time-harmonic and pulsed MF will be studied by measuring cell growth curve usingturbidimetry, impedance spectroscopy and microscopy. Moreover, the ion parametric resonance interactionmodel will be verified for biogenic ions and the magnitude of the ambient static geomagnetic field. The importanceof this area of research lies in exploring physical methods for manipulating biological structures, with potentialbenefits for biotechnology and medical treatment. |
| Research on the correlation dependences of magnetic, structural, and optical properties of aluminate glasses, titanium alloys, and titanium-based nanocolloids, and ion liquids | |
| Výskum korelačných závislostí magnetických, štruktúrnych a optických vlastností hlinitanových skiel, titánových zliatin a nanokoloidov na báze titánu a iónových kvapalín | |
| Program: | VEGA |
| Project ID: | 2/0104/25 |
| Duration: | 1.1.2025 – 31.12.2028 |
| Project leader: | Mgr. Škrátek Martin, PhD. |
| Annotation: | The project focuses on the development of magnetic measurement methods for selected areas of materialsresearch and biomedicine, for a deeper understanding of the physical and chemical properties associated withchanges in the distribution of electrical charges, and for their utilization in designing revised technologicalprocedures and diagnosing surface properties. First goal of the project is to investigate the influence ofcomposition, precursor powder preparation methods, and the preparation method of aluminateglasses/glass-ceramics on their structure and magnetic properties. The second goal is the investigation of theinfluence of properties and composition of ion liquids on the phase composition, shape, size distribution, andstability of titanium-based nanoparticles and nanostructures. The physicochemical and magnetic properties ofnanocolloids will be studied with attention to the surface properties of biomedical Ti-alloys, especiallynanostructures based on titanium oxide. |
| Theoretical properties and applications of special families of probability distributions | |
| Teoretické vlastnosti a aplikácie špeciálnych tried rozdelení pravdepodobnosti | |
| Program: | VEGA |
| Project ID: | 2/0120/24 |
| Duration: | 1.1.2024 – 31.12.2027 |
| Project leader: | Doc. RNDr. Witkovský Viktor, CSc. |
| Annotation: | In the project, problems related to probability distributions and their applications in mathematical modeling will be studied. We will analyze some classes of distributions (distributions generated by partial summations, the Schröter family) and study properties of distributions belonging to these classes. Issues related to calibration regression models will be addressed. New methods for solving multivariate statistical problems will be developed. These methods will be based on the calculation of exact probability distributions using the inverse transformation of the characteristic function of the distribution of the output variable. Entropy, another property of probability distributions, plays an important role in detecting causality in time series. The primary area of application is theuse of the distribution of test statistics in hypothesis testing. The new results obtained during the solution of the project will also be applied to mathematical modeling in metrology, linguistics and actuarial mathematics. |
| Development of advanced luminescent glass 3D structures by additive techniques | |
| Vývoj pokročilých luminscenčných 3D štruktúr pomocou aditívnej výroby | |
| Program: | VEGA |
| Project ID: | VEGA 2/0077/24 |
| Duration: | 1.1.2024 – 31.12.2027 |
| Project leader: | Ing. Majerová Melinda, PhD. |
| Changes in fossil lizard communities at older and younger Cenozoic sites in and around Europe as a result of dramatic global climate change – the key to understanding our future is in the past | |
| Zmeny v spoločenstvách fosílnych jašterov na lokalitách staršieho a mladšieho kenozoika v Európe a okolí ako dôsledok dramatických globálnych klimatických zmien – kľúčom k budúcnosti je chápanie minulosti | |
| Program: | VEGA |
| Project ID: | VEGA 1/0160/24 |
| Duration: | 1.1.2024 – 31.12.2026 |
| Project leader: | RNDr. Hain Miroslav, PhD. |
| Annotation: | Terrestrial ecosystems in Europe, but practically everywhere, changed significantly during the Cenozoic due toglobal climatic changes. The importance of their better understanding is magnified by present global climatechange. In that respect, lizards are widely regarded as excellent indicators of past climates, particularly ambienttemperatures. The project is focused on the research of new, often complete finds from localities of different agessuch as the Paleocene site of Walbeck in Germany, the Lower Eocene sites of Dormaal in Belgium, Cos,Pasturat and Viélase in France. We also include new complete finds from the Middle Eocene German Messellocality (Unesco). Furthermore, fossils from the Oligocene and Lower Miocene sites of Phosphorites du Quercy(France), Miocene to Pliocene sites in Austria, Slovakia, Poland, Hungary, but also in Africa (Kenya) will bestudied. The aim is this research using CT is an interpretation of the phylogenetic relationships of studied taxaand changes in their communities. |