bluuebunny/crossref_metadata_2025_split huggingface dataset:
Producing Type Ia Supernovae from Hybrid CONe White Dwarfs with Main-sequence Binary Companions at Low Metallicity of Z = 0.0001
Authors: Guo Boyang , Meng Xiangcun , Tian Zhijia , Luo Jingxiao , Liu Zhengwei 
Published: December 2024

Abstract
The nature of progenitors of Type Ia supernovae (SNe Ia) and their explosion mechanism remains unclear. It has been suggested that SNe Ia may have resulted from thermonuclear explosions of hybrid carbon–oxygen–neon white dwarfs (CONe WDs) when they grow in mass to approach the Chandrasekhar mass limit by accreting matter from a binary main-sequence (MS) companion. In this work, we combine the results of detailed binary evolution calculations with population synthesis models to investigate the rates and delay times of SNe Ia in the CONe WD + MS channel at a low metallicity environment of Z = 0.0001. For a constant star formation rate of 5 M
⊙ yr−1, our calculations predict that the SN Ia rates in the CONe WD + MS channel at low metallicity of Z = 0.0001 is about 0.11−3.89 × 10−4 yr−1. In addition, delay times in this channel cover a wide range of 0.05−2.5 Gyr. We further compare our results to those given by a previous study for the CONe WD + MS channel with a higher metallicity of Z = 0.02 to explore the influence of metallicity on the results. We find that these two metallicity environments give a slight difference in rates and delay times of SNe Ia from the CONe WD + MS channel, although SNe Ia produced at a low metallicity environment of Z = 0.0001 have relatively longer delay times.
The application of the finite elements method in the step wise transient method
Authors: Malinarič S 
Published: December 2024

Abstract
The evaluation of the Step-wise transient (SWT) method is verified by experiment simulation using Finite elements method (FEM) and true values of the specimen thermophysical parameters, which resulted in an input response. This is evaluated by fitting the analytical temperature function providing the initial guesses of the specimen parameter values. The accuracy of the results is increased by modifying the original analytical temperature function with another FEM calculation using these initial guesses. The computed temperature response in an numerical form is transformed into an analytical one, which can be used in fitting the input response. The obtained results are compared with true values and initial guesses. This procedure is conducted with specimens made from silicate glass and polymethylmethacrylate (PMMA).
Examining capture velocity in local exhaust ventilation utilizing a purpose-built workstation
Authors: Szekeres S 
Published: December 2024

Abstract
HVAC systems play a pivotal role in determining the overall energy consumption of industrial production halls and workshops, thereby emphasizing the necessity to optimize ventilation levels. Consequently, there is a paramount need to devise systems that strike a balance between energy efficiency and functional efficacy. This article elucidates a comprehensive investigation into the capture velocity of local exhaust ventilation (LEV) through the utilization of a purpose-built workstation within a controlled laboratory environment. The workstation, characterized by a 900 mm width and 450 mm depth worktop, was strategically outfitted with an exhaust duct proximal to the pollutant source, aligning with the operational objectives of the LEV system. The worktop was partitioned into square sections to facilitate precise documentation and subsequent reevaluation. Controlled fresh airflow was supplied through a duct positioned above the worktop. The study primarily centered on evaluating air velocity and turbulence intensity. Diverse configurations were experimented with at specified measurement nodes, and to avoid air extraction from behind the exhaust duct, a back sheet panel was installed. The results unequivocally demonstrated that the incorporation of a back sheet augmented capture velocities, underscoring its efficacy in enhancing LEV performance. These findings significantly contribute to advancing our comprehension of LEV efficiency and underscore the imperative of thoughtful design considerations and operational adjustments to ensure effective containment of contaminants within the operation environment.
Initial investigation of the relative humidity effect on the convective heat exchange using full-scale wind tunnel experiments
Authors: Kočí J , Navara T , Trush A , Pospíšil S 
Published: December 2024

Abstract
In this paper, an initial investigation of the effect of relative humidity on the rate of convective heat exchange is carried out. For this reason, a specific sample design was developed that was tested in the unique closed-circuit wind tunnel laboratory that allows for investigation of various environmental loads on full-scale samples. The analysis of experimental data indicated the relative humidity as a potential key factor with a sufficient level of significancy that may seriously affect the rate of convective heat exchange between sample surface and ambient air.
Evaluation of radionucłides transport parameters based on time dependent concentration profiles
Authors: Koci V , Kucerakova M , Zelenka J , Drab M , Vratislav S , Kalvoda L , Medved I 
Published: December 2024

Abstract
Alkali-activated aluminosilicate samples were prepared to be for testing and determination of radionuclides transport parameters. A solution of GdNO3 was put in contact with a face side of a prismatic specimen (lateral sides were sealed to make sure one-dimensional transport mode prevails) and the solution concentration in space and time were monitored and recorded using neutron radiography. The concentration profiles in different times were then processed (Stefan-Bolzmann transformation) and evaluated to obtain the diffusion coefficients. Within the evaluation, theoretical binding isotherms of Gd were used which corresponded to various levels of concentration. In this way, a sensitivity analysis was performed to investigate and quantify the impact of an isotherm variation on the diffusion coefficients values obtained. It has been found, a 10% variation in the binding isotherm values led to a difference in diffusion coefficient of up 30%. Beside concentration profiles measurement, an increased attention should be also paid also to a precise determination of binding isotherms.
Hygienic investigation of the evaporative cooling system installed in air handling units
Authors: Kostyák A , Kostyák F , Bodnár I 
Published: December 2024

Abstract
A significant portion of the total summer energy consumption of buildings is allocated to the treatment of ventilation air and cooling of spaces. One possible approach to reduce mechanical cooling energy consumption is indirect evaporative cooling. By implementing this method, the mechanical cooling energy demand of air handling units can be significantly reduced. Numerous studies and literature focus on the energy analysis of direct and indirect evaporative cooling system solutions. However, the hygiene assessment of these processes has received less attention thus far. This article presents an examination of the hygiene of evaporative cooling panels and the water used in these systems. The aim of the study is to assess the level of hygiene risk and explore potential cleaning technologies. It was shown that the applied disinfection method in this cooling system, using chemical solution flushing (in the case of 3 w/w% hydrogen peroxide solution) has proven more effective than chemical surface spraying process.
The evaluation of building materials moisture using the Analysis of Covariance
Authors: Jastrzębska M , Futa A 
Published: December 2024

Abstract
The paper presents the evaluation of some building materials moisture using the Analysis of Covariance (ANCOVA). The readouts present the dependence between the moisture of material, evaluated gravimetrically and permittivity values determined by TDR technique. Thanks to the ANCOVA method, it is possible to determine the moisture content in the particular materials regardless of the sensor construction and type of material. Additionally, in order to compare, the data obtained in the research also were analyzed using the traditional linear regression models.
The impact of changes in the physical properties of building material surfaces on heat transfer via electromagnetic radiation
Authors: Urzędowski A 
Published: December 2024

Abstract
The study aimed to determine the contact resistance at the interface of material layers within building partitions by conducting thermal and geometric analyses, both of which influence heat flow. Authors specifically tested the effects of changes in surface emissivity and surface roughness on heat transfer via electromagnetic radiation between parallel surfaces of building materials. To achieve accurate modeling, reverse engineering tools, including an optical 3D scanner and CAD software, were utilized to create detailed three-dimensional representations of the wall system, capturing precise geometrical features. The analysis of surface roughness provided insights into the microstructural changes before and after applying a reflection-smoothing coating, which significantly reduced surface emissivity from 0.93 to 0.29. Heat transfer simulations were carried out using computational fluid dynamics (CFD) software, applying the finite volume method to account for variations in surface roughness, air gap thickness, and concrete types. Authors sought to explorate how changes in surface roughness influence heat transfer via electromagnetic radiation and, as a result, affect the thermal insulation of walls.
Enhancing Production and Logistics Efficiency Through Dynamic Simulation: A Case Study in Transport System Optimization
Authors: Holubek R , Matúšová M 
Published: December 2024

Abstract
Dynamic computer simulation verifies before implementation how the production and logistics process system will work after implementation It is equally important in process automation when bottlenecks in processes are found and need to be optimised. Simulation can be used to verify the outcome of changes in production, logistics, warehouse or management processes before they are implemented in the real system. In the digital environment, experiments are conducted with internally deployed systems or processes, for example, the impact of process sequencing, orders, random occurrence of equipment failures, their retyping, the impact of logistics on production performance, and others. The customer thus avoids potential high financial and capacity losses resulting from additional modifications to the real system and gains certainty in decision-making in the planning phase. The aim of this paper is to provide a detailed analysis of the transport system in industry and to develop a simulation case study of a transport system. The simulation will be used to verify the proposed innovations in the case study.
The volume of stones stack calculated by different methods -a case study
Authors: Paszek J 
Published: December 2024

Abstract
Paper presents methods for calculating the volume of a stones stack located on an area of mining plant in southern Poland, used by modern engineering programs (the C-Geo program, the WinKalk program, the Geolisp program). The volume of the solid was calculated with the relative error in relation to the initial volume obtained in the Geolisp program (97 064.91 m3) and amounted to 97 207.22 m3 + 0.15% (the C-Geo program) and 97 001.00 m3 – 0.07% (the WinKalk program). The WinKalk program allowed for volume calculation with less than twice the relative error compared to the C-Geo program, however, both programs meet the accuracy requirements specified in the polish law.
Analysis of the load structure in the processing of aluminum alloys for automotive rims
Authors: Sapta D , Socalici A , Birtok Baneasa C , Putan V 
Published: December 2024

Abstract
The most commonly used aluminum alloys for manufacturing rims are the deformable alloys 6082 and 6061, as well as the casting alloy AlSi11. The increasing demand for such materials has led to intensified research and development activities in the field of high-strength and high-ductility aluminum alloys. Aluminum alloy rims must meet certain critical safety requirements and adhere to high standards of design, technical conditions, and processing. This paper presents the research conducted and the results obtained regarding the load structure in the processing of 6082 aluminum alloys intended for rim manufacturing. The load consists of aluminum waste and primary aluminum in various proportions depending on the alloying elements added to the metal bath of the waste used in the recipes.
Design and development of vaginal wall mimicking poly(ϵ-caprolactone) based nanofibrous prosthetic mesh for pelvic organ prolapse: evaluation of biocompatibility and antibacterial ability
Authors: Arul Murugan Preethi , Bellare Jayesh 
Published: December 2024

Abstract
Mechanical non-conformance of conventionally used transvaginal non-degradable meshes has led to complications such as organ perforation, dyspareunia caused by mesh stiffness and stress shielding. In this study, we have solved the dire need to mimic the mechanical properties of the vaginal wall by designing and developing a soft and elastic mesh made of polycaprolactone (PCL), citric acid modified polyethylene glycol (PEGC) and zinc oxide (ZnO) prepared through electrospinning and tested in vitro and in vivo. The mesh containing 90:10:0.1 of PCL, PEGC and ZnO (PEGC-15 0.1ZnO mesh) conforms to the mechanical properties of the vaginal wall of the pelvic floor, has a burst strength of ∼35 N even after gamma-sterilization and 28 d of degradation in in vitro. In vitro studies using adipose-derived stem cells revealed that the PCL-PEGC-15 0.1ZnO meshes were biocompatible and supported higher collagen production than commercial mesh. An in vitro bacterial adhesion study showed a 2-log reduction compared to commercially available mesh for prolapse treatment. Initial biocompatibility assessment in a rabbit model also showed that the PCL-PEGC-15 0.1ZnO mesh is biocompatible and supports fibrosis throughout the mesh. The softness and flexibility of the PCL-PEGC-15 0.1ZnO mesh based on in vitro trials and initial in vivo trials show that the mesh has a potential clinical impact for pelvic floor repair treatment.
Productivity of coniferous forests evaluated by remote sensing and field-based models
Authors: Kusbach jun A , Krejza J , Homolová L , Fischer M , Janoutová R , Horáček P 
Published: December 2024

Abstract
The inadequacy of Norway spruce (NS) monocultures in fulfilling ecosystem services, due to deteriorating health and consequent forest ecosystem collapses, has recently become a concerning issue for the forestry sector in Central Europe. This study investigates spruce forest productivity using in-situ field observations (DendroNetwork) and satellite remote sensing (RS) data in the Czech Republic during the past two decades. Tree growth index and moderate resolution imaging spectroradiometer net primary productivity were used to assess productivity at the national scale along an elevation gradient. The analyses of spatiotemporal variation in carbon dynamics indicate a decreasing trend in productivity in 51% and 80% (2800 km2 and 4200 km2) of the spruce stands from the RS and in-situ data, respectively. The increasing trend is particularly evident in montane regions, where satellite data identified an elevation threshold around 900 m a.s.l. while in-situ data 700 m a.s.l. In these energy-limited montane areas, NS may benefit from increased temperatures and may remain relatively safe from drought stress. The decreasing trends detected by both approaches indicate deteriorating conditions for NS in lower elevations. This study suggests that combining in-situ and RS data provides an efficient and robust way to estimate forest productivity at the national scale. The anticipated response of spruce forests associated with declines in productivity and growth in areas with low to moderate elevation points to the adverse effects of climate change by shifting the ecological optimum to higher elevations. We conclude that detailed mapping of forest response to changing environmental conditions is critical to support sustainable forest management and decision-making, ultimately reflecting the need to adopt adequate strategies to mitigate the impacts of climate change and related natural and anthropogenic disturbances.
An evaluation approach to PM2.5 policy effectiveness over South Korea based on a newly proposed scalable spatial decomposition method
Authors: Seo Jihoon , Lee Ahreum , Park Doo-Sun R , Youn Daeok , Kim Kyung Hwan , Park Chang-Eui , Kim Jin Young 
Published: December 2024

Abstract
Air quality management policies often exhibit spatial inconsistencies in effectiveness due to the diverse spatial scales of air pollution variability, which result from source characteristics as well as geographical and meteorological factors. To address this, the present study proposes a scalable spatial decomposition method to separate spatiotemporal air pollution data into background (nationwide), intercity-scale (tens of kilometers), and neighborhood-scale (several kilometers) components. This decomposition was achieved by introducing spatially varying effective ranges for intercity-scale variability at each station, based on the correlation coefficient distance of the background-removed component. Applying this approach to hourly fine particulate matter (PM2.5) concentrations from 535 monitoring stations across South Korea for 2021–2022, we evaluated the effectiveness of PM2.5 management policies. During the polluted cold season (December to March), the intercity-scale component contributed an average of approximately 18% of the total PM2.5 concentration in the Seoul Metropolitan Area (SMA) and Central Area (CA), which are densely populated and industrialized regions. In contrast, this component helped reduce PM2.5 levels in southeastern coastal areas, where high winds facilitate dispersion. The neighborhood-scale component contributed positively to PM2.5 levels near industrial complexes and ports but negatively in residential and commercial areas. The results demonstrate the effectiveness of central government-led intercity-scale regulations on total emissions allowances in the SMA and CA and highlight the need for additional local management targeting individual point sources near industrial complexes and ports. This study provides intuitive spatial decomposition tools for understanding PM2.5 pollution across spatial scales and offers policymakers a foundation for developing multi-scale mitigation strategies.
Reduction of unitary operators, quantum graphs and quantum channels
Authors: Salcedo L L 
Published: December 2024

Abstract
Given a unitary operator in a finite dimensional complex vector space, its unitary reduction to a subspace is defined. The application to quantum graphs is discussed. It is shown how the reduction allows to generate the scattering matrices of new quantum graphs from assembling of simpler graphs. The reduction of quantum channels is also defined. The implementation of the quantum gates corresponding to the reduced unitary operator is investigated, although no explicit construction is presented. The situation is different for the reduction of quantum channels for which explicit implementations are given.
Analysis of digitalization modern global trends and factors in the context of Ukraine’s agricultural sector
Authors: Kushnir N , Tsaruk D , Shpak V , Dobrovolskyi A , Didukh R 
Published: December 2024

Abstract
The article outlines trends, barriers and opportunities for digitalization in Ukraine’s agricultural sector. Due to the rapid information technologies development, digitalization has become a key economic growth factor, particularly in Ukraine’s agricultural sector, which is critical for food security, especially during wartime. The article examines the Ukrainian national economy digitalization level and the ICT impact through the Network Readiness Index, which measures a country’s institutional system digital transformation readiness. The 2023 NRI score indicates that, despite being a lower-middle-income country, Ukraine outperforms many states in education, ICT service exports, and government online services, demonstrating its potential for further growth. The study also assesses the artificial intelligence, the IoT and PETs impact on agricultural value chains, which contribute to improving the agricultural management efficiency, optimizing resource use, reducing costs and enhancing products competitiveness. It was found that one of the main digitalization barriers in Ukraine’s agriculture is the innovation financing insufficient level. Moreover, in 2024, the commercial loans cost for agriculture is among the highest across economic sectors. To address these issues, it is suggested to focuse on improving digital literacy, developing partnerships, enhancing the regulatory framework, implementing remote sensing technologies, attracting digital transformation investments through grants and green financing programs.
Consideration of risks in assessing the potential of drained lands: national and international aspects
Authors: Krasovska Y , Lesniak O , Podlevska O , Podlevskyi A , Kostrychenko V 
Published: December 2024

Abstract
Achieving sustainable development in Ukraine requires coordinating economic growth and environmental protection strategies. At the same time, ensuring the country’s food security is impossible without developing the water and land reclamation complex, which does not consistently achieve the goal of preserving and restoring the potential of land resources. Therefore, the issues of forecasting, preventing, and minimizing economic and environmental losses are of particular importance for the development of Ukraine’s economy and its sectors. This emphasizes the need to study economic and environmental risks in land use and develop strategies to reduce their negative impact on economic activity. Such research is also of great environmental importance, contributing to optimizing the use of natural resources, reducing the anthropogenic load on ecosystems, increasing their resilience and improving their condition.
Using correlation and regression analysis methods to assess the effectiveness of environmental projects
Authors: Kovshun N , Solodkyy V , Nalyvaiko N , Zhemba A , Syrotynska A 
Published: December 2024

Abstract
The article uses the methods of correlation and regression analysis to determine the feasibility of environmental projects. The dynamics of the main indicators characterizing the state of the environment of Ukraine is studied. Their dynamic forecasting is carried out. It was found that all the studied indicators are best described by a polynomial trend model of the 3rd degree. The hypothesis of a close causal relationship between the amount of environmental investment and the state of environmental pollution is put forward. A multi-factor regression model of the impact on pollutant emissions of capital investments and current expenditures on major environmental protection measures, capital investments in integrated technologies and clean-up was calculated using the STATISTICA package developed by StatSoft. The closeness of the relationship and statistical significance of the results obtained were analyzed. The main indicators that need to be included in the system of indicators for assessing the effectiveness of environmental investment are allocated.