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Item type:Item, Access status: Open Access , Applying time-resolved photoluminescence in scanning near-field optical microscopy to map charge-carrier dynamics in CsPbBr3 nanocrystals(2025-12-14) Klok, Pavel; Liška, Petr; Křápek, Vlastimil; Černek, Ondrej; Nováček, Zdeněk; Šamořil, Tomáš; Bouchal, Petr; Kratochvíl, Matouš; Ulč, Filip; Čecháček, Jan; Spousta, Jiří; Šikola, Tomáš; Viewegh, PetrCharge-carrier dynamics in perovskite materials are commonly investigated using techniques that either provide spatially averaged information or probe only a single point, often overlooking nanoscale heterogeneities that critically influence device performance. In this work, time-resolved photoluminescence mapping in aperture-type scanning near-field optical microscopy was used to directly visualize charge-carrier behavior in CsPbBr3 nanocrystal films, achieving sub-diffraction spatial resolution of 150nm and temporal resolution of 100ps. Through the combination of near-field optical excitation and simultaneous topographical characterization, structural features were found to influence local optical and electronic properties. Spatial variations in photoluminescence intensity, emission wavelength, and carrier lifetimes were observed across quasi-continuous films formed by nanocrystal aggregation. These heterogeneities, which are highly relevant to optoelectronic and photonic applications, were shown to significantly affect carrier recombination dynamics. Notably, regions exhibiting redshifted emission were found to have longer photoluminescence lifetimes, indicating a strong correlation between spectral properties and recombination processes. This study demonstrates how near-field time-resolved photoluminescence can serve as a powerful tool to probe local charge-carrier dynamics in perovskite materials and offers new insights for their more reliable and efficient integration into next-generation optoelectronic technologies.Item type:Item, Access status: Open Access , Predictive Uncertainty Analysis of Straightness Error Measurements in Dynamic Measurement Modes(2025-12-11) Virostková, Kristína; Derevianko, Anna; Kroupa, Jiří; Marek, Tomáš; Ulrych, Michal; Holub, Michal; Marek, JiříOver the past two decades, considerable progress has been made in both metrology and control systems, enabling more sophisticated approaches to geometric error identification. Static interferometric measurements are accurate but time-consuming. Therefore, this study compares the measurement uncertainty of static and dynamic (continuous) modes of measuring the geometric accuracy of machine tools. At the same time, the measurement noise value of dynamic measurements was quantified as a contribution to the standard uncertainty of type B. The measurements were performed in static and dynamic modes with a Renishaw XL-80 laser interferometer and using angular optics kit. The results of individual measurements were interpreted through the straightness of the linear axes of the two machine tools. The measurement was performed on a small (X-axis length = 754 mm) and a large (Z-axis length = 9134 mm) CNC machine tool with feed rates from 2000 mm/min to 8000 mm/min. The uncertainty budget calculation of the measured straightness consists of the official documentation of the laser interferometer manufacturer and on the other hand the uncertainty of the straightness was determined experimentally. The comparison of the straightness measured by the static and dynamic modes confirmed that the dynamic measurement represents a time-efficient approach to verifying the geometric accuracy, which is practically indispensable for large machines and significantly reduces downtime for smaller machines without significantly reducing the reliability of the results.Item type:Item, Access status: Open Access , Monitoring and Diagnostics of Bridges Using Operational Modal Analysis(2025-12-25) Klusáček, Ladislav; Nečas, Radim; Koláček, Jan; Vašinová, Martina; Bezručová, KristínaThe aging and progressive deterioration of prestressed concrete bridges in the Czech Republic highlight the need for advanced monitoring methods of key structural parameters. This study combines numerical modelling and operational modal analysis of bridge structures composed of precast prestressed beams with transverse connections. A numerical model was developed in Midas Civil with several damage variants and validated using measurements on a real bridge with simulated weakening. The results show that partial loss of prestressing caused only a minor reduction of the first natural frequency, while higher modes were more strongly affected and proved more sensitive to local stiffness changes. These findings confirm that higher and asymmetric modes are more suitable for detecting early stages of degradation. Incorporating the transverse stiffness of girder connections into the model significantly improved agreement with experimental data. It is further assumed that reducing the stiffness of the joints may lead to more significant changes in amplitudes within certain frequency bands, which could be verified through harmonic analysis.Item type:Item, Access status: Open Access , Measuring Investor Sentiment in Financial Discourse: How Different Approaches Shape Market Signals(2025-12-22) Janková, Zuzana; Kavelashvili, Nikoloz; Eschenbach, SebastianStock prices are shaped not only by fundamental data but also by investor sentiment, which often deviates from rational decision-making. Given the vast volume of financial texts published by both professional and amateur investors—especially on online financial platforms—sentiment analysis in such unstructured data is essential to understanding their impact on market movements. This study examines the interplay between text data and stock market movements, highlighting the critical role of sentiment extracted from financial news and online news. Existing research has largely relied on general-purpose lexicons or uniform classification techniques, which limits the accuracy of sentiment analysis in financial contexts. To address this gap, we propose a hybrid framework that integrates domain-specific lexicons with advanced machine learning classifiers to improve sentiment extraction from unstructured financial text. Our approach evaluates the impact of lexicon selection on sentiment scores and examines the relationship between classifier choice and prediction accuracy. By improving sentiment analysis methodologies, our findings contribute to the development of more robust stock market forecasting models, strengthen decision-making processes for investors, and increase market efficiency.Item type:Item, Access status: Open Access , Survey of FOSS 3D/2D Graphics Software Blender Usage in Science, Academia, and Industry(2025-12-26) Chlubna, Tomáš; Vlnas, Michal; Milet, Tomáš; Zemčík, PavelFree and open-source software (FOSS) is a preferred tool for individuals and companies. The advantages of FOSS are minimal expenses, multi-platform and community support, transparent privacy policies, no vendor-related limitations, etc. Blender is a FOSS computer graphics 3D and 2D editor. It offers functions such as modeling, animating, video editing, simulations, image processing, scripting, rendering, etc. It is widely used as a free alternative to existing commercial products. This comprehensive survey examines Blender and its features and explores its usage in research, academic, and industrial projects, based on hundreds of collected and referenced sources. A comparison of Blender with alternative proprietary tools was conducted in terms of rendering performance, popularity, support, and feature set. According to this survey, Blender can be used as an efficient tool in film industry for visual effects composition, for dataset production for scientific experiments or deep learning methods, for educational purposes as a 3D geometrical problems demonstration tool, for the design of industrial models prepared, for example, for 3D printing, usage in augmented or virtual reality applications, etc. More specialized features are available as community-developed add-ons. The main reason why Blender is not used more often, is that many professionals are used to other software.