bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moving load effect on a bridge
Authors: Melcer J , Valašková V 
Published: October 2022

Abstract
Moving loads represent the dominant component of the load on traffic structures such as bridges and roads. The response of these structures to moving loads can be modeled numerically using a FEM system such as ADYNA or ANSYS. The process requires the creation of a suitable vehicle and bridge computational models. For the purposes of this paper, a spatial computational model of a Tatra T815 heavy truck was created. The modeled bridge is a two span structure with a slab deck. A smooth surface of the bridge is assumed. At the beginning of the solution, the bridge is at rest and the vehicle enters the bridge already vibrated. The dynamic deflections of the bridge and the vehicle over time are monitored. It is possible to display bending moments in the transverse and longitudinal direction and torques at any time. It is also possible to obtain the values of the contact forces between the vehicle wheel and the bridge at any time. The vehicle can move along the bridge at any speed.
Renewal of the roof structure of the Winter Stadium in Prešov
Authors: Vojtuš J 
Published: October 2022

Abstract
Winter stadium in Prešov is situated in an exposed area near the city center, in Slovakia but also in the context of world architecture, it is today an exceptional building with a rope roof structure. The author of the construction is Ing. arch. Čejka, structural engineer doc. Ing. Hajdu, CSc. At the time of design and implementation, it was a very progressive design of the supporting structure, which met the parameters of a world format. The project was modified in 1984 by the completion of outbuildings on the west side of the stadium, mainly due to the need to expand the number of players' locker rooms according to the current needs of athletes. The ice rink was renovated more than 10 years ago, including mantinels and safety glazing.
Gradual transformation of an administrative building into a green structure
Authors: Vertal M , Vranayova Z , Cakyova K , Vargova A , Vranay F 
Published: October 2022

Abstract
The paper describes our vision of a green conversion of selected administrative building in Košice, which is supported by the research project APVV-18-0360 ACHIEve Active Hybrid Infrastructure for a sponge city. The greenIZOLA vision represents a set of complex measures, the result of which is a logically, economically, and environmentally justified design of a green building. Within separate stages, the individual parts of the complex and the building are gradually transformed into structures with a potential for retaining rainwater. At the same time, the proposed architectural structures introduce a potential for the creation of experimental structures designed for multidisciplinary research of synergistic links between the building, the environment and vegetation units. The transformation process uses a multidisciplinary approach (BIM, data analysis, life cycle analysis, water retention modelling in the environment, analysis of vegetation units, energy and multiphysical simulations). By applying these approaches, it is possible to monitor the proposed structures, analyse their effects, predict their behaviour, and then optimise the system.
Construction segments applying modern methods of construction in Slovakia
Authors: Spišáková M , Galla J , Mandičák T 
Published: October 2022

Abstract
Construction industry has a huge innovation potential focused on the development of new building elements or process procedures. Progressive construction processes are often referred to as modern and cover technologies and systems of various material bases. The drivers and barriers associated with modern methods of construction are generally perceived as a perspective of ensuring sustainable construction, which also reflects their potential application in various construction segments. The aim of the paper is to map companies in the Slovak construction market, which focus their activities on modern methods of construction and then identify the material basis of modern methods of construction. The paper is also focused on determining the application measure of individual types of modern methods of construction in specific construction segments. The research was carried out through own survey and identification of construction companies that declare their activities in the field of production of structural elements, construction of buildings within modern methods of construction.
Internal insulation systems and their assessment for historic buildings by hygrothermal simulation
Authors: Hutkai K , Katunský D , Zozulák M 
Published: October 2022

Abstract
The paper examines possible solutions for the use of internal insulation in listed buildings. Massive thick walls of historic buildings represent large heat losses and the use of thermal insulation materials from the inside is a possible solution to increase the energy efficiency of historic buildings. However, the use of thermal insulation from the interior is accompanied by a number of risks associated with condensation, mould growth and damage to the perimeter structure. It is necessary to perform dynamic simulations to verify the thermal-humidity behaviour of the structure. The article describes materials suitable for the purpose of internal insulation, their advantages and disadvantages and a description of dynamic simulations by which their effects on the thermal-humidity behaviour of the perimeter wall of a historic building are assessed.
Analysis of vibrations in a dynamic damper
Authors: Jaskot A 
Published: October 2022

Abstract
The problem of damping mechanical vibrations has been described in the paper. The subject of the research is a dynamic damper consisting of two steel plates and cuboid rubber blocks to dampen vibrations. The upper plate is subjected to forcing, causing the disturbance to propagate. This disturbance will propagate through the top plate and will pass through the damping material to the bottom plate. The damping elements have been modelled from Mooney-Rivlin material. The aim of the work is to investigate the propagation of vibrations and damping of vibrations and to assess the effects resulting from the selection of material constants with the assumed geometry of the tested system. The results included in the work have been obtained based on a comparative analysis, taking into account the linear material and the nonlinear material. Numerical tests have been carried out with the use of ANSYS software.
Time-space modelling of construction
Authors: Tazikova A , Strukova Z , Cabala J 
Published: October 2022

Abstract
A successful construction project respect the construction time and the estimated costs. Such a smooth construction process ensure effective scheduling. A good time construction plan can be a daunting task for a construction contractor. The article deals with time scheduling of line construction in TILOS software. The result is an analysis of scheduling in this software. The advantages and disadvantages of working of modelling a time-distance graph are described. For better control, it is very advantageous to have a well-processed schedule, which will be to the building model by various logical links connected. Thanks to this compound, it is possible to model the building of construction in the shortest possible time and as smoothly as possible. In conclusion, it is stated, that a well-crafted time construction plan can point to possible construction collisions. An updated time-distance graph processed in a software environment can reveal construction risks and the needed rescheduling in a timely manner. Therefore, it is possible to meet the scheduled construction time and estimated costs.
Analysis of building materials used for the construction of family houses in the boundaries from Cradle to Gate with Options
Authors: Kridlova Burdova E , Vilcekova S 
Published: October 2022

Abstract
The purpose of the research work is to analyse environmental impacts of building materials applied to the construction of family houses in the boundaries Cradle to Gate with Options. Within Life cycle analysis (LCA), environmental impacts such as global warming potential (GWP), ozone depletion (OP), acidification potential (AP), eutrophication potential (EP), photochemical ozone creation potential (POCP), non-hazardous waste disposal (NHWD) and biogenic carbon storage (BGS) are determined by using One Click LCA tool. This approach is selected to bring information about current state of construction trend used in Slovakia, to set a starting point for further critical reviews of different strategies as well as to inform about the impact significance of current selection of building materials. Results show that the biggest contribution to GWP are triple glazed exterior wooden doors and windows with aluminium elements, thermal insulation and reinforced concrete.
Different ways of mechanical wave propagation damping in Ackerman ceilings using recycled rubber
Authors: Kuliński K 
Published: October 2022

Abstract
In this paper, the use of recycled rubber in the form of inserts/fillings or overlays on Ackerman ceiling blocks to partially dampen the propagation of mechanical waves from vibrating machines/devices or accidental shocks from the people movement is discussed. The numerical study is carried out with the use of ADINA software based on Finite Element Method (FEM). The energy transferred via the forced wave is observed in the form of stress plots at given time steps. Four different Ackerman blocks are chosen, which differs in height dimension and shape. In the analysis the complexity of each block supporting is simplified and each block is treated as simply supported on its external edges. The dynamic load is applied to the blocks top surface towards the bottom. For each Ackerman block the analysis is performed twice. The first sequence deals with the Ackerman block itself – without rubber filling, and the second one with insert/filling, what gives the possibility to compare the results of transferred energy. On the basis of presented in paper results, one observes that the rubber filling gives a slight to significant reduction of mechanical wave energy transfer, depending on the block configuration.
Numerical analysis of slope stability
Authors: Harabinova S , Panulinova E 
Published: October 2022

Abstract
The paper is focused on the analysis of slope stability. The problem of slope stability is processed theoretically and parametrically - parametrical study. Factors that affect slope stability include: geomorphological conditions, geological conditions, soil and rock properties, and external loads (for example, from traffic, nearby structures, possible vibrations). The shear stress parameters of soil are a keys design parameters for assessment of slope stability. The aim of the parametric study is to point out the importance of knowing the shear stress parameters of soils in assessing the slope stability. By comparing obtained result, it was founded, that change the cohesive has a significant effect on the stability factor.
In vitro vascularization of hydrogel-based tissue constructs via a combined approach of cell sheet engineering and dynamic perfusion cell culture
Authors: Elomaa Laura , Lindner Marcus , Leben Ruth , Niesner Raluca , Weinhart Marie 
Published: October 2022

Abstract
The bioengineering of artificial tissue constructs requires special attention to their fast vascularization to provide cells with sufficient nutrients and oxygen. We addressed the challenge of in vitro vascularization by employing a combined approach of cell sheet engineering, 3D printing, and cellular self-organization in dynamic maturation culture. A confluent cell sheet of human umbilical vein endothelial cells (HUVECs) was detached from a thermoresponsive cell culture substrate and transferred onto a 3D-printed, perfusable tubular scaffold using a custom-made cell sheet rolling device. Under indirect co-culture conditions with human dermal fibroblasts (HDFs), the cell sheet-covered vessel mimic embedded in a collagen gel together with additional singularized HUVECs started sprouting into the surrounding gel, while the suspended cells around the tube self-organized and formed a dense lumen-containing 3D vascular network throughout the gel. The HDFs cultured below the HUVEC-containing cell culture insert provided angiogenic support to the HUVECs via molecular crosstalk without competing for space with the HUVECs or inducing rapid collagen matrix remodeling. The resulting vascular network remained viable under these conditions throughout the 3 week cell culture period. This static indirect co-culture setup was further transferred to dynamic flow conditions, where the medium perfusion was enabled via two independently addressable perfusion circuits equipped with two different cell culture chambers, one hosting the HDFs and the other hosting the HUVEC-laden collagen gel. Using this system, we successfully connected the collagen-embedded HUVEC culture to a dynamic medium flow, and within 1 week of the dynamic cell culture, we detected angiogenic sprouting and dense microvascular network formation via HUVEC self-organization in the hydrogel. Our approach of combining a 3D-printed and cell sheet-covered vascular precursor that retained its sprouting capacity together with the self-assembling HUVECs in a dynamic perfusion culture resulted in a vascular-like 3D network, which is a critical step toward the long-term vascularization of bioengineered in vitro tissue constructs.
Texture transformer super-resolution for low-dose computed tomography
Authors: Zhou Shiwei , Yu Lifeng , Jin Mingwu 
Published: October 2022

Abstract
Computed tomography (CT) is widely used to diagnose many diseases. Low-dose CT has been actively pursued to lower the ionizing radiation risk. A relatively smoother kernel is typically used in low-dose CT to suppress image noise, which may sacrifice spatial resolution. In this work, we propose a texture transformer network to simultaneously reduce image noise and improve spatial resolution in CT images. This network, referred to as Texture Transformer for Super Resolution (TTSR), is a reference-based deep-learning image super-resolution method built upon a generative adversarial network (GAN). The noisy low-resolution CT (LRCT) image and the routine-dose high-resolution (HRCT) image are severed as the query and key in a transformer, respectively. Image translation is optimized through deep neural network (DNN) texture extraction, correlation embedding, and attention-based texture transfer and synthesis to achieve joint feature learning between LRCT and HRCT images for super-resolution CT (SRCT) images. To evaluate SRCT performance, we use the data from both simulations of the XCAT phantom program and the real patient data. Peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and feature similarity (FSIM) index are used as quantitative metrics. For comparison of SRCT performance, the cubic spline interpolation, SRGAN (a GAN super-resolution with an additional content loss), and GAN-CIRCLE (a GAN super-resolution with cycle consistency) were used. Compared to the other two methods, TTSR can restore more details in SRCT images and achieve better PSNR, SSIM, and FSIM for both simulation and real-patient data. In addition, we show that TTSR can yield better image quality and demand much less computation time than high-resolution low-dose CT images denoised by block-matching and 3D filtering (BM3D) and GAN-CIRCLE. In summary, the proposed TTSR method based on texture transformer and attention mechanism provides an effective and efficient tool to improve spatial resolution and suppress noise of low-dose CT images.
Sizing solar-based mini-grids for growing electricity demand: Insights from rural India
Authors: Sayani Reena , Ortega-Arriaga Paloma , Sandwell Philip , Babacan Oytun , Gambhir Ajay , Robinson Darren , Nelson Jenny 
Published: October 2022

Abstract
Mini-grids are a critical way to meet electricity access goals according to current and projected electricity demand of communities and so appropriately sizing them is essential to ensure their financial viability. However, estimation of demand for communities awaiting electricity access is uncertain and growth in demand along with the associated cost implications is rarely considered during estimation of mini-grid sizing. Using a case study of two rural communities in India, we assess the implications of demand growth on financial costs and performance of a mini-grid system consisting of solar photovoltaic (PV) panels and battery storage using two different system sizing approaches. We show a cost-saving potential of up to 12% when mini-grids are sized using a multi-stage approach where mini-grids gradually expand in several stages, rather than a single-stage optimisation approach. We perform a sensitivity analysis of the cost of the two sizing approaches by varying six key parameters: demand growth rate, logistics cost, system re-sizing frequency, likelihood of blackouts, solar PV and battery cost, and degradation rate. Of these, we find that system costs are most sensitive to variations in demand growth rates and cost decreases in solar PV and batteries. Our study shows that demand growth scenarios and choice of mini-grid sizing approaches have important financial and operational implications for the design of systems for rural electrification.
Role of antibody engineering in generation of derivatives starting from MOv19 MAb: 40 years of biological/therapeutic tools against folate receptor alfa
Authors: Frigerio Barbara , Montermini Matilde , Canevari Silvana , Figini Mariangela 
Published: October 2022

Abstract
In the 1980s, we developed and characterized numerous murine monoclonal antibodies (MAbs) directed against human tumor-associated antigens. This mini review is focused on the generation of derivatives of an anti-folate receptor α (FRα) MAbs, named MOv19, exploiting the antibody-engineering progresses in the last 40 years. The FRα location on the luminal surface of proliferating epithelial cells, inaccessible to circulation, versus its over-expression in the entire surface of numerous carcinomas suggested a role for anti-FRα MAbs in the diagnosis and/or treatment of solid tumors. Presently, two MOv19 derivatives are in clinical trials: a chimeric resurfaced version in an antibody-drug conjugate format (SORAYA trial, 2022) and the murine scFv in a second generation chimeric antigen receptor, CAR-T (Phase Ia, 2021). MOv19 and its derivatives could be considered a relevant example that well-characterized anti-tumor murine Mabs and antibody engineering could be combined to generate useful therapeutic tools.
Performance of real-time PCR in suspected haemodialysis catheter-related bloodstream infection: a proof-of-concept study
Authors: Acquier Mathieu , Zabala Arnaud , de Précigout Valérie , Delmas Yahsou , Dubois Véronique , de la Faille Renaud , Rubin Sébastien , Combe Christian , M'Zali Fatima , Kaminski Hannah 
Published: October 2022

ABSTRACTBackgroundCatheter-related bloodstream infections (CRBIs) remain a major cause of mortality in haemodialysis (HD) patients with central venous catheters (CVCs), especially because of the non-specific symptomatology and the delay in microbiological diagnosis with possible use of non-optimal empiric antibiotics. Moreover, empiric broad-spectrum antibiotics increase antibiotic resistance development. This study aims to evaluate the diagnostic performance of real-time polymerase chain reaction (rt-PCR) in suspected HD CRBIs compared with blood cultures.MethodsA blood sample for rt-PCR was collected simultaneously with each pair of blood cultures for suspected HD CRBI. The rt-PCR was performed on the whole blood, without any enrichment stage and with specific DNA primers: 16S (universal bacterial), Staphylococcus spp., Staphylococcus aureus and mecA. Each successive patient with a suspected HD CRBI in the HD centre of Bordeaux University Hospital was included. Performance tests were used to compare the result obtained in each rt-PCR assay with its corresponding routine blood culture.ResultsEighty-four paired samples were collected and compared for 40 suspected HD CRBI events in 37 patients. Among these, 13 (32.5%) were diagnosed as HD CRBI. All rt-PCRs except mecA (insufficient number of positive samples) showed high diagnostic performances within 3.5 h: 16S (sensitivity 100%, specificity 78%), Staphylococcus spp. (sensitivity 100%, specificity 97%), S. aureus (sensitivity 100%, specificity 99%). Based on the rt-PCR results, antibiotics could be more appropriately targeted, thus cutting anti-cocci Gram-positive therapy from 77% to 29%.ConclusionsThe performance of rt-PCR in suspected HD CRBI events showed fast and high diagnostic accuracy. Its use would improve HD CRBI management with an antibiotic consumption decrease.
Network reconstruction problem for an epidemic reaction--diffusion system
Authors: Beaufort Louis-Brahim , Massé Pierre-Yves , Reboulet Antonin , Oudre Laurent 
Published: October 2022

Abstract
We study the network reconstruction problem for an epidemic reaction–diffusion system. These systems are an extension of deterministic, compartmental models to a graph setting, where the reactions within the nodes are coupled by a diffusion dynamics. We study the influence of the diffusion rate and the network topology, on the reconstruction and prediction problems, both from a theoretical and experimental standpoint. Results first show that for almost every network, the reconstruction problem is well posed. Then, we show that the faster the diffusion dynamics, the harder the reconstruction, but that increasing the sampling rate may help in this respect. Second, we demonstrate that it is possible to classify symmetrical networks generating the same trajectories, and that the prediction problem can still be solved satisfyingly, even when the network topology makes exact reconstruction difficult.
Finance and Green Growth
Authors: De Haas Ralph , Popov Alexander 
Published: October 2022

Abstract
We study how countries’ financial structure affects their transition to low-carbon growth. Using global industry-level data, we document that carbon-intensive industries reduce emissions faster in economies with deeper stock markets. The main channel underpinning this stylised fact is that stock markets facilitate green innovation in carbon-intensive sectors, resulting in lower carbon emissions per unit of output. More tentative evidence indicates that stock markets also help to reallocate investment towards more energy-efficient sectors. Cross-border spillovers are limited: less than 5% of these industry-level reductions in domestic emissions are offset by carbon embedded in imports. A firm-level analysis of an exogenous shock to the cost of equity in Belgium confirms our findings.