OpenAIRE

Permanent URI for this collectionhttp://hdl.handle.net/10084/89004

Kolekce určená pro sklízení infrastrukturou OpenAIRE; obsahuje otevřeně přístupné publikace, případně další publikace, které jsou výsledkem projektů rámcových programů Evropské komise (7. RP, H2020, Horizon Europe).

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Now showing 1 - 20 out of 5464 results
  • Item type: Item ,
    Geothermal potential of the Czech Vienna Basin: Structural and fluid-flow dynamics of a former pull-apart basin
    (Elsevier, 2026) Rybár, Samuel; Nemčok, Michal; Ledvényiová, Lucia; Kyselák, Přemysl; Sliva, Lubomir
    This study investigates the geothermal potential of the Czech sector of the Vienna Basin, a region traditionally explored for hydrocarbons, through the integration of seismic and fluid data. The analysis focuses on lowtemperature geothermal systems (<150 degrees C) hosted by Badenian and Sarmatian (Langhian-Serravallian) sedimentary sequences. Seismic interpretation identifies key structural features, including the Steinberg Fault Zone, serving as a recharge area, and the Lanzhot-Hrusky Fault Zone, representing a discharge area of a topographydriven geothermal fluid-flow system connected by a network of densely spaced aquifers. Hydrogeochemical analyses reveal total dissolved solids ranging from 3400 to 21,000 ppm and fluid inflow rates from 0.5 to 14.5 m(3)/h. Current limitations include incomplete data coverage and relatively low geothermal gradients; however, the availability of extensive hydrocarbon infrastructure and a large well database provides a unique opportunity for geothermal exploration and redevelopment. Deepening of selected wells in the most promising areas could increase reservoir temperatures, improving the economic efficiency of future geothermal projects. This study provides the first integrated structural and hydrogeothermal interpretation of the Czech sector of the Vienna Basin. The results identify a topography-driven geothermal circulation system controlled by the Steinberg and Lanzhot-Hrusky Fault Zones, linking recharge and discharge zones across multiple Badenian and Sarmatian aquifers. These findings establish a well-constrained conceptual framework for the basin's geothermal system and demonstrate the potential for direct-use applications based on existing exploration data.
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    Temperature-dependent plastic behavior of ASA: Johnson-Cook plasticity model calibration and FEM validation
    (MDPI, 2026) Palička, Peter; Huňady, Róbert; Hagara, Martin
    Acrylonitrile Styrene Acrylate (ASA) is widely used in outdoor structural applications due to its favorable mechanical stability and weather resistance; however, its temperature-dependent plastic behavior remains insufficiently characterized for accurate numerical simulation. This study presents a non-standard method of calibrating the temperature-dependent Johnson-Cook (J-C) plasticity model for ASA in the practical operating temperature range below the glass transition temperature. Uniaxial tensile tests at constant strain rate 0.01 s-1 were performed at -10 degrees C, +23 degrees C, and +65 degrees C to characterize the effect of temperature on the material's plastic response. The J-C parameters A, B, and n were identified for each temperature separately and globally using least-squares optimization implemented in MATLAB R2024b, showing good agreement with the experimental stress-strain curves. The calibrated parameters were subsequently implemented in Abaqus 2024 and validated through finite element simulations of the tensile tests. Numerical predictions demonstrated a very high correlation with the experimental data across all temperatures, confirming that the J-C model accurately captures the hardening behavior of ASA. The presented parameter set and calibration methodology provide a reliable basis for future simulation-driven design, forming analysis, and structural assessment of ASA components subjected to variable thermal conditions.
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    Propane-syngas premixed flames in a heat-flux burner: Effect of H2/CO enrichment on laminar burning velocity, temperature profiles, and mechanism sensitivity
    (Elsevier, 2026) Bouhentala, Bigeud; Krause, Hartmut; Eckart, Sven
    Blending syngas with propane offers a versatile approach to tune combustion behavior, merging the high reactivity and clean burning properties of syngas with the stability and energy density of propane enabling flexible syngas adoption in the current combustion systems. Premixed propane-syngas flames were investigated at 298 K and 1 bar over an equivalence-ratio range of phi = 0.6-1.5 to quantify the Laminar Burning Velocity (LBV) and flame temperature. The LBV was measured using a heat-flux burner (quasi-adiabatic, planar flame), and temperature profiles at Heights Above the Burner (HAB) of 1-20 mm were recorded using a type-S thermocouple and corrected for radiative losses via a steady-state convection-radiation balance (epsilon = 0.205-0.235). Equimolar and non-equimolar H2/CO syngas blends, with syngas fractions up to 80% of the fuel, were examined. Numerical predictions were obtained using a one-dimensional freely propagating flame model with the USC II, San Diego, Aramco 2.0, C3MechLite, and NUIG 1.1 kinetic mechanisms; the San Diego mechanism best reproduces lean LBV, whereas USC II performs better under rich conditions. Increasing syngas content increases LBV at all phi and shifts the LBV peak from phi = 1.0 to phi =1.1 at high syngas fractions; at phi =1.5, LBV increases by 145% as the syngas fraction rises from 20% to 80%. The peak flame temperature (Tpeak) increases by 2.9% at phi = 0.8 and by 12.5% at phi = 1.4 for 80% equimolar syngas, with H2-rich syngas yielding higher values than CO-rich blends. Sensitivity and radical-profile analyses indicate that H-atom branching (H + O2 = O + OH) and OHassisted CO oxidation promote LBV, whereas HO2 formation and H-recombination pathways limit the gains, consistent with the observed mechanism-to-mechanism differences under rich conditions. Syngas addition also moves the flame front closer to the burner (HAB approximate to 1 mm versus 2 mm for propane), consistent with improved rich-side stabilization. Overall, the dataset provides a combined experimental-numerical benchmark of LBV and temperature profiles for propane flames enriched with syngas (H2/CO), including both equimolar and nonequimolar blends up to 80% of the fuel for model validation and syngas-utilization studies.
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    Cretaceous granites-possible source of the Carpathian gravity low
    (Elsevier, 2026) Pospíšil, Lubomil; Bartoněk, Dalibor; Bureš, Jiří
    The Carpathian gravity low is one of the most discussed geophysical problems in the area of the Western Carpathians. The source of this regional anomaly has been debated since the 1980s. The ideas of individual authors were based on the powerful sedimentary layers in the bedrock of the flysch and Central Western Carpathians or on the effect of the source at the level of the Moho discontinuity. In 1980, the first interpretation appeared, when the authors connected the source with the presence of granitoid masses. In the course of time, individual unrealistic ideas about the influence of molassoid sediments or deep structures were gradually excluded. The work provides new interpretations based on integrated seismic, magnetotelluric (MT), and gravity data, and its conclusions are supported by the presented data and models-with limited quantitative uncertainty analysis. The study advances understanding of the Western Carpathians' crustal structure and offers a plausible geological explanation that refines long-debated hypotheses about the gravity anomaly. The results gained on the bases of the reinterpretation of gravity, magnetic, reflection seismic and magnetotelluric data (MT) confirmed the existence of an environment that can be explained by the presence of granites based on the absence of significant reflexes and the presence of high-resistivity horizons in the Low Tatras area. In this paper, compared to other similar works, a model is presented that assumes the presence of Cretaceous granitoid complexes. It is based on a comparison with a similar gravity effect manifested in the Rochovce area. Cretaceous granites drilled here proved the presence of such complexes in the subsoil in the Tatric and Veporic units. From paleographic studies, it is possible to find a connection with similar bodies of Cretaceous granites (banatites) located in the range from the Apusena Mountains to the South Carpathians. Plain Language summary: The article is devoted to the clarification of one of the important regional anomalies-Central Carpathian Gravity low", which was solved for more than 40 years by a number of expert teams. The article contains the results of geophysical methods, which offer an explanation of this structure as a source of Cretaceous granite, which is known in a large area in the Eastern and Southern Carpathians as banatites. In the article, we present a new comprehensive view of the solution of this and similar resources found in the destroyed remnants of the post-subduction Variscan zone. It is an exceptional example of possible geophysical mapping of similar zones in other orogenic regions.
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    Production technology and properties of layered composite coatings used for boiling heat transfer augmentation
    (Polish Society of Composite Materials, 2025) Chatys, Rafal; Honus, Stanislav; Orman, Łukasz J.
    The paper presents the production technology and properties of layered metallic composites in view of their use for the creation of highly efficient phase-change heat exchangers. It discusses the experimental results of the boiling heat transfer of distilled water and ethanol under atmospheric pressure on copper substrates on which a metal mesh layer, which augments heat transfer via boiling, was applied by sintering. The sintering technology enables durable bonds to be obtained between the joined elements, which results in proper strength properties. The meshes used in the experiments were made of bronze, brass and copper. The heat transfer results indicate that all the samples with the additional layer showed better performance - they dissipated more heat at the same temperature difference in comparison to the smooth surface without any mesh applied onto it, while the copper mesh outperformed the others. It seems to be linked to the highest thermal conductivity of this material in relation to the copper alloys considered in the study.
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    Study of the mechanical and fracture properties of lightweight concrete with various combinations of polypropylene fibers
    (MDPI, 2026) Hrabová, Kristýna; Láník, Jaromír; Lehner, Petr
    This article examines how hybrid polypropylene fibers of three different lengths affect the mechanical and fracture properties of lightweight structural concrete with lightweight ceramic aggregate. Four mixtures were produced: a reference lightweight concrete and three fiber-reinforced variants with total dosages of 3, 6, and 9 kg/m3 in a fixed length ratio of 4:1:1. Standard tests determined the bulk density, cube compressive strength, splitting tensile strength, modulus of elasticity, and fracture parameters using a three-point bend test. Compared to the reference concrete, the fibers did not significantly change the compressive strength but consistently increased the tensile strength and energy absorption after cracking. The highest fracture energy and toughness were obtained at the highest dosage, while excessive fiber content reduced the static compressive modulus.
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    Experimental study of multiple-shot unitary channels discrimination using the IBM Q computers
    (Springer Nature, 2026) Bílek, Adam; Hlisnikovský, Jan; Bezděk, Tomáš; Kukulski, Ryszard; Lewandowska, Paulin
    Tasks involving black boxes appear frequently in the theory of quantum information, with quantum channel discrimination as a central example that has been deeply studied. In this work, we experimentally study the discrimination between two unitary quantum channels in the multiple-shot scenario. We challenge the theoretical results concerning the probability of correct discrimination with the results collected from experiments performed on the IBM Brisbane. Our analysis shows that neither too deep quantum circuits nor circuits that create too much entanglement are suitable for the discrimination task. We conclude that circuit architectures which minimize entanglement overhead while preserving discrimination power are significantly more resilient to hardware noise if their depth does not exceed a threshold value. Consequently, our findings necessitate a paradigm shift: for execution on noisy hardware, the theoretically suboptimal circuit is, counterintuitively, often the superior choice.
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    Application of CSA algorithm for the PMSM speed estimator of the FOC control method using extended Kalman filter
    (Vysoká škola báňská - Technická univerzita Ostrava, 2025) Tran, Thinh Cong; Brandštetter, Pavel; Tan, Huynh; Vo, Hau Huu
    Nowadays, Permanent Magnet Synchronous Motors (PMSM) are used more and more widely due to their advantages over other types of motors, such as high efficiency, constant torque, higher power density, and wide speed range. Many studies on this motor have been carried out in the industry. This paper proposes an application for the PMSM motor to estimate the speed of the motor rotor using an extended Kalman filter (EKF). This also means that the motor is controlled without using a speed sensor, so the system has the advantages of reducing the cost of manufacturing encoders, less damage, increased reliability, and reduced size due to the absence of moving mechanical parts of the sensor. The estimated performance depends heavily on the parameters of the covariance matrices in the filter. In the paper, the filter parameters are optimized using the Cuckoo Search Algorithm (CSA). The simulation results of the proposed algorithm on the PMSM motor show its advantages over traditional methods.
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    A hybrid meshless collocation approach for capturing solution and gradient jumps in 1D telegraph double-interface model with highly discontinuous coefficients
    (Elsevier, 2026) Asif, Muhammad; Fatima, Ali; Riaz, Muhammad Bilal; Bilal, Faisal
    Telegraph interface models accurately predict signal and wave behavior in layered media with multiple boundaries, providing a reliable basis for the design and analysis of electrical, communication, and geophysical systems. This article presents a numerical method for solving the one-dimensional telegraph equation with double interface conditions. The proposed scheme combines radial basis functions for spatial discretization with finite difference approximations in time, forming a unified and flexible computational framework. This hybrid approach is capable of handling both linear and nonlinear problems and can accommodate constant as well as variable coefficients. Linear algebraic systems arising from the discretization are solved using Gaussian elimination, while nonlinear problems are treated through a quasi-Newton linearization technique. The accuracy and efficiency of the method are evaluated by computing the maximum absolute error and the root mean square error for different spatial grid sizes and time step values. Numerical results confirm that the proposed scheme is easy to implement, exhibits fast convergence, and achieves high accuracy across a range of test problems. Therefore, the method provides a reliable and efficient computational tool for solving telegraph equations with interface discontinuities.
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    Pulse wave velocity estimation in a controlled In vitro vascular model: Benchmarking machine learning approaches
    (MDPI, 2026) Barvík, Daniel; Černý, Martin; Procházka, Michal; Noury, Norbert
    This study evaluates the feasibility of estimating stiffness-related parameters and pulse wave velocity (PWV) in a controlled in vitro circulatory setup using artificial silicone vessels with systematically varied Shore A hardness and wall thickness. From synchronized pressure and capacitive waveforms, fiducial points and engineered features are extracted, together with pump settings (stroke volume and heart rate). A Sugeno-type adaptive neuro-fuzzy inference system (ANFIS) is used for hardness-level prediction and benchmarked against linear regression and contemporary machine-learning/deep-learning baselines using stratified cross-validation. PWV estimates derived via hardness-to-elasticity conversion models and the Moens-Korteweg formulation are evaluated against a reference PWV obtained within the same experimental configuration. Under these controlled conditions, the proposed pipeline shows strong agreement with reference labels and measurements. The results should be interpreted as an in vitro validation step; translation to biological tissues or in vivo data will require external validation, calibration of material-property mapping, and robustness testing under physiological variability and measurement noise.
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    Social networks and social media as mediators of entrepreneurial entry among Indian women
    (Springer Nature, 2026) Balcar, Jiří; Sinha, Prity; Johnson Filipová, Lenka; Horáková Hirschlerová, Nicole
    This article examines how social networks and social media influence women's entrepreneurial entry in India. Using an explanatory sequential mixed-methods approach, we combine quantitative analysis of GEM data with qualitative interviews. The quantitative results show that having an entrepreneur in one's social network increases the probability of start-up involvement by 2.5 percentage points, while media exposure contributes an additional 1.8 percentage points. Interviews with women entrepreneurs illustrate how social media provides motivation, role-modeling, and perceived attainability, whereas personal networks offer emotional support, early clients, mentorship, and informal financing. Situating these findings within broader debates on social capital and female entrepreneurship, the study highlights how interpersonal and digital ties function as low-cost, relational resources in contexts of limited institutional support. This dual perspective advances existing research by clarifying the distinct yet complementary ways in which offline networks and online media shape women's early entrepreneurial decisions and help reduce perceived barriers.
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    Monitoring and assessment of potentially hazardous particles in high-risk workplaces in the production of Ni-Cd batteries
    (Springer Nature, 2026) Tokarčíková, Michaela; Bernatíková, Šárka; Rössner ml., Pavel, Pavel; Vrbová, Kristýna; Šíma, Michal; Gabor, Roman; Běčák, Petr; Seidlerová, Jana
    The manufacture of Ni-Cd batteries involves the risk of contact with and inhalation of dust particles containing heavy metals, including potential carcinogens. Three workplaces were selected that appeared to pose the greatest risk to workers in terms of exposure to heavy metal (nickel and cadmium) dust generated during the production and handling of nickel-cadmium plates. Although the limits for dust and carcinogens and mutagens are very strict, they are gradually being tightened. Therefore, the main motivation was to find the source of the highest amounts of respirable particles, determine the size of the particles, the composition of the fraction and evaluated potential toxicity of particles captured on the filters. This will help to propose additional measures to minimise concentrations of potentially carcinogenic particles in the working environment. The chemical analysis, particle size distribution, metal content and cytotoxicity of the particles trapped on the filters were investigated. While the concentration of heavy metals was well below the permissible exposure limits, the extracts obtained from the sampled filters had a significant effect on cytotoxicity, particularly those containing lower concentrations of particles.
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    A catalytic approach to the valorization of polyesters and biogenic waste for the production of amines
    (Elsevier, 2026) Poovan, Fairoosa; Jagadeesh, Rajenahally V.; Beller, Matthias
    Despite the numerous applications of polymers in human life, their excessive use has caused serious environmental hazards. Among polymer recycling methods, chemical recycling offers a streamlined approach to polymer degradation by enabling depolymerization without compromising functionality. Specifically, hydrogenolysis of polymers, a depolymerization technique that utilizes hydrogen to cleave bonds, has emerged as a powerful strategy for depolymerization, facilitating the upcycling of plastics into high-value chemicals. Previous research in this area has predominantly focused on noble metal catalysts, while the potential of base metals remains unexplored. Herein, we propose a cobalt-based hydrogenative amination approach for the depolymerization of polyesters to versatile diamines as well as amino alcohols. This strategy can also be applied to the one-pot synthesis of fatty amines from used cooking oil. The current system opens new avenues for the upcycling of waste into valuable amines, providing a viable solution to plastic pollution and a way to utilize waste as a resource.
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    Optimizing multi-step kinetic schemes for biomass pyrolysis in bioenergy production using multi-objective genetic algorithm: Transitioning from thermally thin to thermally thick regime
    (Elsevier, 2026) Vasudev, Vikul; Tahir, Mudassir Hussain; Ram, Shri; Duan, Yanjun; Adamec, Tomáš; Najser, Tomáš
    This study aims to optimize multi-step kinetic models for biomass pyrolysis to enhance bioenergy production. Utilizing three representative biomass types, i.e., Cunninghamia lanceolata (forestry-derived), rice straw (agricultural-derived), and green algae (aquatic-derived), thermogravimetric analysis was conducted across temperatures from 150 to 600 degrees C at heating rates of 5, 20, 30, and 40 degrees C/min. Three kinetic schemes with three, four, and nine reactions were parameterized using a parallelized multi-objective genetic algorithm fitting the model simultaneously to all heating rates. The four-reaction scheme achieved the highest fit quality (R-2 > 0.97 for all feedstocks), while the nine-reaction model provided detailed mechanistic insights but showed reduced accuracy for green algae (R-2 as low as 0.81). Coupling these kinetic models with a 2D heat transfer model of a thermally thick biomass particle revealed distinct thermal gradients and reaction front behaviors for each scheme, including average front propagation speeds of 0.19 mm/min and core conversion times between 27 and 34 min. The most complex scheme exhibited the fastest core conversion rate (up to 23 % faster), broadest and most diffuse reaction front, and greater char production. Whereas, simpler schemes produced sharper, localized fronts with slower conversion. This integrated experimental-computational approach quantitatively characterizes pyrolysis kinetics and thermal dynamics, advancing model development for optimized industrial bioenergy applications.
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    Assessing climate risk on the European financial system: a multi-scenario Analysis
    (Springer Nature, 2026) Giacchetta, Gianandrea; Giacometti, Rosella; Torri, Gabriele
    This paper investigates the impact of climate risk on the stability of the European financial system, with a particular focus on both transition and physical risk dimensions. Given the long-term and uncertain nature of climate-related risks, traditional econometric methods often fall short in capturing their systemic implications. To address this challenge, we develop a scenario-based framework grounded in realistic projections consistent to the theoretical framework of the Network for Greening the Financial System ("NGFS"), encompassing three climate pathways: orderly transition, disorderly transition, and hot house world. We model the relationship between climate risk drivers, European companies, and the financial system using vine copulas, enabling a flexible representation of complex dependencies. The effects of these scenarios on financial institutions are evaluated through key risk metrics (expected return, value at risk, and expected shortfall) conditioned on each climate scenario. Our results offer insights into how climate transition risks propagate through the financial system, with practical implications for financial stability assessment and systemic risk management. The primary contribution lies in integrating both transition and physical climate risks into a coherent and tractable risk assessment framework, offering valuable tools for policymakers, regulators, and financial practitioners. Results show a significant dependence of European financial system to brown companies and, thus, sizable losses in the disorderly transition scenario.
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    SDR-Based Vehicle-to-Vehicle OFDM VLC Communication System
    (IEEE, 2026) Dratnal, Martin; Danys, Lukáš; Jaroš, René; Martinek, Radek
    This paper presents a novel software-defined radio (SDR) platform designed to measure the bit error rate (BER) in vehicle-to-vehicle visible light communication (V2V VLC) technology under real-world conditions. Unlike previous studies that have primarily relied on simulations or static tests, this research provides empirical evidence from both stationary and dynamic vehicular scenarios. The proposed system functions as an orthogonal frequency division multiplexing (OFDM) transceiver, employing multistate quadrature amplitude modulation (M-QAM) to modulate individual subcarriers. Extensive experiments were conducted to evaluate the system's performance, including the effects of varying headlight beam angles and vehicle distances on BER. Notably, stable communication was achieved using 64-QAM modulation at distances up to 10 meters, maintaining a BER below the critical threshold of 10(-5 .) These findings demonstrate the feasibility and robustness of integrating VLC with standard vehicle headlight systems, offering a viable solution for enhancing vehicular communication in dynamic traffic environments.
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    Trajectory tracking control for autonomous vehicles: A systematic PRISMA review of models and strategies
    (Elsevier, 2026) Albhaisi, Mohammed S.; Prauzek, Michal; Minh, Tri Tran Huu; Ožana, Štěpán; Konečný, Jaromír
    Autonomous vehicles (AVs) are poised to redefine future mobility by offering enhanced safety, energy efficiency, and intelligent adaptability. A fundamental component enabling this transformation is trajectory tracking control, which ensures precise path-following despite environmental uncertainties, dynamic road conditions, and sensor noise. This systematic review follows the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology to analyze state-of-the-art trajectory tracking control strategies, categorizing them into traditional, adaptive, and learning-based methods. The study provides a comprehensive assessment of trajectory tracking models, highlighting their strengths, limitations, and applicability in real-world scenarios. Additionally, the review discusses key challenges, such as scalability, real-time adaptability, and the integration of multi-sensor data. By bridging theoretical advancements with practical implementations, this review contributes to the development of more robust, adaptive, and efficient trajectory tracking systems for autonomous mobility.
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    Equivalence between the co-rotational finite element method and the absolute coordinate formulation in multibody dynamics
    (Wiley, 2026) Zwölfer, Andreas; Aubel, Maximilian; Páleník, Radek
    Geometric nonlinearity arises in problems involving large displacements and rotations, where traditional linear assumptions fail. In the finite element community, several formulations have been developed to address these complexities; the corotational finite element formulation (CRF) has proven to be an efficient alternative to generic total Lagrangian (TL) and updated Lagrangian (UL) approaches for small-strain problems. In the multibody dynamics community, the floating frame of reference formulation (FFRF) is commonly used, employing a gross-motion-following local reference frame per body (also referred to as co-rotational or floating frame), in contrast to CRF's element-based approach. A less known but fully equivalent multibody formulation to FFRF is the absolute coordinate formulation (ACF), which uses absolute coordinates in contrast to rigid body coordinates plus local deformation as in FFRF. This paper demonstrates the equivalence of ACF and CRF, with the only difference being the number of reference frames-body-based versus element-based. Moreover, since CRF, while efficient, faces challenges in real-world multibody simulations due to the computational burden of assigning a reference frame to each finite element, this paper also discusses how CR/ACF can be applied when partitioning bodies into substructures, each equipped with its own reference frame.
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    Energy and environmental trade-offs in anaerobic digestion: Batch tests and LCA investigations of giant hogweed, canola straw, and manure
    (Elsevier, 2026) Nwanegbo, Emmanuel; Mollashahi, Samaneh; Ferchau, Erik; Eckart, Sven; Krause, Hartmut
    This study investigated the energy and environment trade-offs of anaerobic digestion (AD) using invasive giant hogweed, agricultural residue canola straw, and cow manure by combining mesophilic batch tests with a gate-togate life cycle assessment (LCA). Seven scenarios, comprising both mono-digestion and co-digestions were evaluated. Mono-digestion of Giant Hogweed achieved the highest specific biogas yield (671 LN/kg VS) and methane content (74.7%), with no detectable hydrogen sulphide (H2S), while co-digestion introduced mixdependent trade-offs between gas yield and emissions. The LCA identified the combined emissions from manure and digestate storage as the primary hotspot for Global Warming Potential (GWP), contributing 53-67% of total emissions. Crop-based mono-digestion scenarios exhibited higher GWP per tonne but lower emissions per kWh due to superior energy recovery; the same pattern held for abiotic depletion (fossil and elements). Sensitivity analysis showed that a 50% cut in storage emissions reduced GWP by 27-34% across all scenarios. Scenarios with higher net electricity output achieved lower impact intensities per kWh. The study concludes that optimizing feedstock ratios and implementing advanced storage practices is critical for maximizing both energy recovery and environmental performance of AD systems.
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    Abuse of tax law in a comparative perspective: An analysis of French and Czech regulations
    (Akademia Leona Koźmińskiego, 2025) Mariański, Michał; Bartes, Richard
    The concept of abuse in tax law is well established in many EU Member States, as it is an important element of the financial security and resilience of the economic system. However, the manner in which this concept is regulated is not uniform. It is therefore crucial to determine whether we can observe only small differences in this field or whether exists is a significate conceptual divergence among EU countries. The purpose of this article, which applies dogmatic, historical-descriptive, and, above all, comparative methods, is to examine the legal framework governing the abuse of tax law in France and the Czech Republic. The analysis leads to several conclusions that may be potentially interesting from the perspective of other EU countries. Another issue addressed concerns the compatibility of the examined solutions with the technological changes observable across almost all areas of the economy and braches of law. The different approaches to regulating the abuse of tax law in France and the Czech Republic presented in this paper may also serve as an impulse for further comparative or national studies aimed at identifying the most effective and efficient model in this field.