Warsaw University of Technology

Despite the fact that amide and 1,2,3-triazole moieties on their own are widely utilized in designing chemoreceptor structures, their direct connection─amidetriazole is rarely studied. In this work, we present a new class of polyaromatic AIE-active amidetriazoles, their mechanochemical synthesis, and their application as dual-mode anion receptors. Mechanochemical synthesis not only enabled high yields but also shortened the reaction time and reduced the use of solvents and harmful chemicals. The optimization of 1,3-dipolar cycloaddition reactions carried out in solution, as well as in sono- and mechanochemical versions, was mainly based on modifying the copper-ion source, where a nonclassical approach (copper metal mesh) enabled the highest yields to be achieved. The compounds obtained were characterized by spectroscopic methods to fully study their properties derived from the AIE effect. The relationship between their structure and receptor properties was outlined. Ultimately, both AIE-active compounds were successfully employed as anion receptors. Optical and potentiometric methods demonstrated a strong correlation between the receptor structure and its detection properties, as well as the selective interaction of one receptor with SO42- anions.

Slender civil structures remain vulnerable to dynamic actions, making robust, implementation-ready damping strategies a design priority. Building on our earlier feasibility study, which introduced an active, liquid-based pendulum-tuned mass damper with mass redistribution for real-time retuning in skyscrapers, the present work generalizes the concept to an adaptive pendulum-tuned mass damper in which variable pendulum length is the primary mechanism of adaptation — independent of any specific actuation technology. We developed a compact model of the coupled flexible frame–adaptive pendulum-tuned mass damper system with explicitly linearized descriptors suited for tuning and design. Then, we validated it experimentally on a shake-table using a flexible frame equipped with an adaptive pendulum-tuned mass damper. The quantitative comparison considers tuned and detuned settings under identical operating conditions. In numerical studies, adaptive length control at resonance achieves up to 85% suppression relative to a fixed-length tuned mass damper, confirming the performance margin available from geometric retuning. In shake-table experiments, the undamped reference shows a peak floor acceleration of 4.8 m/s2. When optimally tuned (pendulum length 2 cm), the peak reduces to 1.8–2.0 m/s2, i.e., by ≈ 60–63%. Detuned settings yield 3.7 m/s2 (5 cm) and 3.2 m/s2 (7 cm) at 5 Hz, corresponding to ≈ 23% and ≈ 33% reductions, respectively. These measured values, together with the model–experiment error analysis, substantiate the predictive accuracy of the proposed framework and quantify the sensitivity to mistuning. The novelty of this study lies in the generalization and experimental validation of an adaptive pendulum-tuned mass damper with variable pendulum length as a practical solution for vibration control in slender engineering structures. Unlike earlier feasibility studies focused on a specific liquid-based implementation, the proposed compact modeling framework and shake-table experiments confirm superior mitigation efficiency (up to 80–85% at resonance) and provide directly applicable design guidelines for real structures.

Digital in-line holographic microscopy enables label-free tracking and metrology, but achieving nanometric sub-pixel displacement accuracy over a wide capture range remains challenging. Frequency-domain registration based on the discrete Fourier transform (DFT) is globally stable and tolerant to large shifts, yet it suffers from sub-pixel quantization and interpolation artifacts that limit precision near zero displacement. In contrast, spatial-gradient refinement such as Lucas–Kanade (LK) can reach very high sub-pixel accuracy, but it is strongly initialization-limited and prone to divergence outside a narrow convergence basin. Here we propose a Hybrid Spectral–Spatial Domain (HSSD) framework that resolves this trade-off by combining the global robustness of a DFT-based coarse estimator with LK refinement of the residual motion. The DFT stage provides reliable initialization and substantially extends the capture range, while the LK stage suppresses the precision floor by reducing interpolation and quantization errors characteristic of standalone frequency-domain methods. We validate HSSD using numerical simulations and experiments in a transmission in-line holographic imaging system, achieving nanoprecision displacement measurement and stable tracking across a wide range of displacements and defocusing conditions. This hybrid strategy enables reliable nanometric localization in regimes where standalone DFT or LK methods either fail to converge or saturate in accuracy.

<ns3:p>Wobec braku naukowych opracowań na temat kulturowej spuścizny osadnictwa wiejskiego Mazowsza południowo-wschodniego, środkowego biegu rzeki Świder, powstaje zagrożenie unicestwiania z powodu niewiedzy o jej wartości. Celem artykułu jest rozpoznanie najistotniejszych zachowanych cech historycznego zespołu szlacheckich wsi o rodowodzie średniowiecznym, których forma planistyczna i przestrzenna wskazują na wysoki poziom kultury osadniczej, zachowany i czytelny w krajobrazie kulturowym. Spośród kilkunastu przebadanych wiosek wybrano siedem reprezentatywnych, z których w artykule szczegółowo przedstawiono osadę Rudzienko. Cechy analizowane to topografia i uwarunkowania przyrodnicze, relacje przestrzenne elementów zespołu dworsko-folwarcznego, układ drogowy osady, rozplanowanie zagród, charakterystyka materiałowa obiektów budowlanych.</ns3:p>

Variations in Earth’s rotation result from a range of geophysical processes, including gravitational forcing by celestial bodies and mass redistribution within the atmosphere, oceans, hydrosphere, and cryosphere. The contributions of these processes to variability in the planet’s rotational motion are commonly quantified using four components of effective angular momentum: atmospheric (AAM), oceanic (OAM), hydrological (HAM), and cryospheric (CAM).Hydrological angular momentum (HAM) describes the excitation of polar motion (PM) and length-of-day (LOD) variations caused by mass redistribution within the continental hydrosphere and can be estimated from global hydrological models, satellite-derived gravity field solutions, or climate model outputs. In this study, we reassess the mass-related excitation of PM by deriving the equatorial components (χ₁ and χ₂) of HAM from temporal variations in the C21 and S21 geopotential coefficients obtained from a new class of hybrid gravity field solutions. These solutions replace the conventional spherical harmonic representation with empirical orthogonal functions (EOFs) derived from Gravity Recovery and Climate Experiment (GRACE) data and fitted to Satellite Laser Ranging (SLR) and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) observations, enabling the construction of an extended time series spanning from 1984 to the present.The resulting HAM time series are compared with estimates from global hydrological models and validated against the hydrological signal in geodetic angular momentum (GAO). The consistency between HAM and GAO is evaluated across multiple frequency bands, with particular emphasis on variability at periods longer than three years. In this low-frequency range, correlations between HAM derived from the hybrid solutions and GAO reach values of up to 0.9, indicating that hydrological signals inferred from temporal variations of the Earth’s gravity field account for a substantial fraction of the observed long-term PM excitation..Typically, the agreement between GAO and HAM time series is analysed by comparing the χ₁ and χ₂ components separately. Here, we perform the analysis along the direction of maximum correlation, providing a more robust and physically meaningful assessment of the agreement between HAM and GAO.These findings highlight the importance of gravimetry-based HAM for interpreting PM variability across multiple time scales and extend earlier GRACE- and model-based investigations of hydrological PM excitation. In addition, this study provides the first long-term HAM estimates derived from hybrid SLR+DORIS gravity solutions spanning the period from 1984 to the present.