bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the behaviour of 3D samples printed by FFF/FDM technologies under bending stress with a focus on infill
Authors: Juračka D , Kawulok M 
Published: December 2021

Abstract
The focus of this paper is to explore the possibilities of optimizing 3D printed elements produced by FFF/FDM technology based on bending tests according to ČSN EN ISO 178 (64 0607) with variations in the settings of the printing itself. The principle of FFF/FDM is the printing of a continuous fiber made of thermoplastic material, which is applied by machine to the previously printed fiber. There are many combinations of possible print settings, and one of them is the geometry of the inner density with variable density. Their resulting maximum values of the achieved load were then compared with the weight (amount of material used) and printing time. The result is a comparison to achieve economical printing with the greatest possible load capacity.
Influence of fly ash addition on physical-mechanical properties of clay bricks – literature review
Authors: Vrdoljak I 
Published: December 2021

Abstract
During the past years, due to the increase in the number of people and the increasing degree of industrialization, the amount of by-products produced, the so-called waste materials are becoming larger. As this problem grows with age, attempts are being made to find answers to the questions of how to use waste material purposefully in order to reduce the problem of disposing of large quantities of this type of material. One way to reduce the accumulation of waste material is to use it in construction materials. This literature review paper presents the research of the area dealing with the influence of fly ash application on properties of clay brick. The application of fly ash at various percentages in relation to the mass of clay and the influence of fly ash at different firing temperatures are studied.
Numerical analysis of asymmetrical using of actuators to membrane structure
Authors: Kapolka L , Stulerova L 
Published: December 2021

Abstract
This paper is focused on the numerical analysis of an adaptive membrane structure, the model of which was created on the basis of experimental device in the lab. It was researched out the effect of asymmetric use of actuators on the membrane structure without structural loads. Results of the article describe the behaviour of numerical model. The results gained from numerical model will be compared in the future with the results measured out from the experimental device.
Crack behaviour at the interface of a surface layer applied on a steel substrate by laser cladding
Authors: Malíková L , Doubek P , Miarka P , Seitl S 
Published: December 2021

Abstract
An influence of the bi-material interface between a steel substrate and a thin protective layer applied through laser cladding was investigated. A range of elastic properties and thicknesses of the layer were considered to cover the behaviour of a short crack in the selected materials such as bronze, nickel or cobalt alloys. The special case of the crack terminating directly at the interface was investigated, which is connected to the necessity of application of generalized approaches of linear elastic fracture mechanics. The results contribute to better understanding of fracture response of selected materials and to a more reliable decision on choosing a proper material of the protective layer.
Evaluation of dynamic behaviour of an experimentally tested model on a shaking table
Authors: Taušan D , Brandis A , Kraus I 
Published: December 2021

Abstract
The usual structural analysis assumes that buildings are fixed to the ground. This is not always the case, especially for structures with shallow foundations on soft soils. It was learned from the literature review that neglecting soil compliance in the structural analysis may result in significant structural damage during an earthquake event. The seismic performance can greatly differ between buildings rigidly fixed to the ground and buildings for which soil compliance is considered. Therefore, the main goal of the experiment conducted in the laboratory of the Faculty of Civil Engineering in Rijeka was to observe the dynamic behaviour of a structure on soft soil. The model was experimentally tested using a shaking table. The foundation soil was modelled using local river sand. For parametric analysis, a numerical model was done using the computer software SAP2000. The model was calibrated using experimentally obtained results. A comparison between the experimental and numerical models is presented in the paper.
Comparison of the level of required prestressing of road bridges according to the historical development of technical standards in Slovakia
Authors: Baran J , Borzovič V 
Published: December 2021

Abstract
The paper deals with the level of required prestressing designed for box-girder bridges. Mainly focuses on the development of standards used in the design of prestressed concrete road bridges in the Slovak Republic. The standards for bridge design have been amended several times. A parametric study was performed on a model post-tensioned concrete bridge with a box-girder cross-section. The bridge has three-span with a main span of 50 m and end spans of 40 m. The study compares the normal stresses caused by traffic load along the length of the bridge according to various standards and technical regulations. The differences in design principles were investigated while the amount and geometry of the longitudinal prestressing of the bridge were changed as required by corresponding standards. The numerical model is considered as a beam element with neglecting of the torsional effects of the load. The parametric study points out the differences in the normal stresses along the bridge according to different design regulations and standards. The aim of the study is to compare level of prestressing according to the historical development of prestressed bridges
Strengthening flat slabs without shear reinforcement against punching shear by concrete overlay
Authors: Čereš D , Gajdošová K 
Published: December 2021

Abstract
Research in this paper presents a theoretical study of increasing in punching shear capacity of the strengthened flat slab by concrete overlay. The parametric study is based on comparison of three different relevant standards design models and presents results how Eurocode 2 (EN 1992-1-1), Model Code 2010 and draft of second generation of Eurocode 2 (prEN 1992-1-1) take into account strengthening by concrete overlay. A reference specimen is represented by a fragment of a flat slab supported by circular column. Influence of concrete toppings depends on thickness and also on reinforcement ratio. In Eurocode 2 and new generation of Eurocode 2 the increase of punching shear resistance of the slab with concrete topping can be taken into account only by reinforcement ratio and thickness of the slab considering the perfect connection and bond between the original slab and new layer of concrete overlay. Model Code 2010 is based on Critical shear crack theory and the reinforcement ratio in concrete topping was considered in equation of moment of resistance and punching shear resistance is calculated by considering the rotation and deformation of the slab. Estimation of results by parametric study are compared by non-linear model from Atena software.
Theoretical research of dimensional optimization and choice of material strength in steel-concrete composite beams
Authors: Hrabovska K , Brecka J 
Published: December 2021

Abstract
The aim of this study is to find out how the change of individual parameters will affect the flexural strength of steel-concrete composite beams. The project was focused on the choice of strength of materials and the choice of dimension, specifically the height of the concrete slab and the size of the steel profile. The research aim is to reveal which parameters have dominant influence on the flexural strength and thus facilitate the optimization of the design in practice.
Determination of temperature gradient of slender structure
Authors: Velešík M , Požár M , Nečas R 
Published: December 2021

Abstract
This study investigates convenient methods of determination of temperature gradient of slender structures in time. Correct determination of temperature along the height of the cross-section takes a key role in defining the temperature loading of slender bridge structures. A proper definition of temperature loading is crucial for structures such as stress ribbon because of their sensitivity to temperature change in terms of geometrical changes of the structure. Correct determination of the temperature gradient is important during long-term geodetic monitoring, which might be used to prove the correctness of computational models of bridge structures. To approximate heat transfer in cross-section, a test specimen with temperature sensors installed along the height was formed and continuously monitored. The accuracy of the retrofitted temperature sensors was also investigated. The temperature at the surface of the specimen, solar radiation and wind velocity were used as input data for heat transfer analysis. The measured values from sensors situated along the height were subsequently used for verification of performed heat transfer analysis on volume computational model in the software Ansys Mechanical.
Analysis of anomalies in the control probes of the Rozgrund dam
Authors: Koval F 
Published: December 2021

Abstract
The subject of the contribution is to clarify the causes of anomalous development of water levels in some observation objects of the Rozgrund dam. To clarify the anomalous development of the water levels, a detailed analysis of the development of water levels in all observation probes built on the dam, the water levels in the reservoir and the daily total precipitation was performed. An important knowledge is the amplitudes of fluctuations in water levels in observation probes and in the water levels in the reservoir. The calculations of correlation coefficient, expressing the relationship between water level in individual boreholes and the water level in the reservoir are another step in assessment of anomalies. Based on the knowledge obtained, it was possible to assess the degree of the influence of the water level in the reservoir on the development of the water level regime in observation objects. At the same time, it was also possible to detect the existence of other effects influenced the water levels in the probes, such as the leakage into their surroundings caused by precipitation or the impact of waters flowing from hillslopes.
Designing the sewerage network of the city in purpose to reduce impact to the environment and water bodies
Authors: Portnov M , Popov A , Hrudka J , Stanko S 
Published: December 2021

Abstract
Today, the study of the city’s sewerage network is an important part of the life of the city and the environment. Ensuring optimal living conditions not only for oneself, but also for other participants in the environment should be a priority for a person. Today we can face various problems that complicate the operation of the city sewer network and can cause detrimental effects on the environment. To prevent this impact on the environment, you first need to understand the cause of this impact, and then look for a solution. Wastewater is a pollutant of rivers, lakes and the water system in general. Wastewater is formed in connection with human activity, the appearance of rainwater, as well as under the influence of industrial enterprises. The purpose of the article is to develop the management of wastewater flows within the city sewer network to ensure the highest quality water clarification and minimize environmental harm.
Restoration of a wetland Čéne in eastern Slovakia
Authors: Repel A 
Published: December 2021

Abstract
The aim of this paper is to present the possibility of revitalizing the disappearing wetland of Céne in eastern Slovakia. Due to climate change and anthropogenic interventions in the natural landscape, natural habitats are currently extinct. Wetlands are one such habitat, of which the Céne wetland is a very good example. Wetland Céne is a place of occurrence of rare species of fauna and flora. The paper proposes and evaluates the method of revitalization of the wetland by subsidizing the water in the wetland from the river Tisa through the proposed dam culvert. The paper also evaluates the technical measures that need to be implemented and the economic aspects of this solution.
PMMA direct exfoliation for rapid and organic free transfer of centimeter-scale CVD graphene
Authors: Zhao Hewei , Xing Xianqin , Zhang Gehui , Liu Wenyu , Dong Haoyu , Lu Zhanjie , Li Tianyuan , Zhang Junfeng , Cheng Zhihai , Wang Le , Chen Shanshan 
Published: December 2021

Abstract
Despite the various techniques developed for the transfer of large area graphene grown by chemical vapor deposition (CVD), the conventional polymethylmethacrylate (PMMA) transferring technique has been widely applied in laboratories due to its convenience and economical cost. However, the complete removal of PMMA on graphene surface has become a troublesome, and the PMMA residue could degrade the properties of graphene significantly. We report here a facile water assisted technique to directly peel off the PMMA layer over centimeter-sized CVD graphene film for the first time. No organic solvents are involved in the whole transfer process. The transferred graphene film is clean and intact over large area because of the cooperative effect of the capillary force and the van der Waals force which facilitates the conformal contact between graphene film and the substrate. Various types of graphene samples (i.e. monolayer, multilayer, and incomplete domains) can be easily transferred to diverse substrates including silicon wafer, sapphire, and quartz with good integrity. The transferred graphene film is of high cleanliness, and the graphene transistors show higher carrier mobility and lower level of p-type doping comparing to the conventional wet transfer technique.
Have mysterious topological valley currents been observed in graphene superlattices?
Authors: Roche Stephan , Power Stephen R , Nikolić Branislav K , García José Hugo , Jauho Antti-Pekka 
Published: December 2021

Abstract
We provide a critical discussion concerning the claim of topological valley currents, driven by a global Berry curvature and valley Hall effect proposed in recent literature. After pointing out a major inconsistency of the theoretical scenario proposed to interpret giant nonlocal resistance, we discuss various possible alternative explanations and open directions of research to solve the mystery of nonlocal transport in graphene superlattices.
Analysis of cancer omics data: a selective review of statistical techniques
Authors: Ma Chenjin , Wu Mengyun , Ma Shuangge 
Published: December 2021

AbstractCancer is an omics disease. The development in high-throughput profiling has fundamentally changed cancer research and clinical practice. Compared with clinical, demographic and environmental data, the analysis of omics data—which has higher dimensionality, weaker signals and more complex distributional properties—is much more challenging. Developments in the literature are often ‘scattered’, with individual studies focused on one or a few closely related methods. The goal of this review is to assist cancer researchers with limited statistical expertise in establishing the ‘overall framework’ of cancer omics data analysis. To facilitate understanding, we mainly focus on intuition, concepts and key steps, and refer readers to the original publications for mathematical details. This review broadly covers unsupervised and supervised analysis, as well as individual-gene-based, gene-set-based and gene-network-based analysis. We also briefly discuss ‘special topics’ including interaction analysis, multi-datasets analysis and multi-omics analysis.
DSGAT: predicting frequencies of drug side effects by graph attention networks
Authors: Xu Xianyu , Yue Ling , Li Bingchun , Liu Ying , Wang Yuan , Zhang Wenjuan , Wang Lin 
Published: December 2021

Abstract
A critical issue of drug risk–benefit evaluation is to determine the frequencies of drug side effects. Randomized controlled trail is the conventional method for obtaining the frequencies of side effects, while it is laborious and slow. Therefore, it is necessary to guide the trail by computational methods. Existing methods for predicting the frequencies of drug side effects focus on modeling drug–side effect interaction graph. The inherent disadvantage of these approaches is that their performance is closely linked to the density of interactions but which is highly sparse. More importantly, for a cold start drug that does not appear in the training data, such methods cannot learn the preference embedding of the drug because there is no link to the drug in the interaction graph. In this work, we propose a new method for predicting the frequencies of drug side effects, DSGAT, by using the drug molecular graph instead of the commonly used interaction graph. This leads to the ability to learn embeddings for cold start drugs with graph attention networks. The proposed novel loss function, i.e. weighted $\varepsilon$-insensitive loss function, could alleviate the sparsity problem. Experimental results on one benchmark dataset demonstrate that DSGAT yields significant improvement for cold start drugs and outperforms the state-of-the-art performance in the warm start scenario. Source code and datasets are available at https://github.com/xxy45/DSGAT.
Comparing transmembrane protein structures with ATOLL
Authors: Jacquemard Célien , Bret Guillaume , Grutter Thomas , Kellenberger Esther 
Published: December 2021

Abstract

Summary
The 3D structure of transmembrane helices plays a key role in the function of membrane proteins. While visual inspection can usually discern the distinctive features of a helix bundle, simply translating them into a 2D diagram can be difficult. ATOLL (Aligned Transmembrane dOmains Layout fLattening) projects the helix bundle onto the lipid bilayer plane, thereby facilitating the comparison of different structures of the same membrane protein or structures of different membrane proteins.

Availability and implementation
ATOLL is a program written in Python3. The source code is freely available on the web at https://github.com/LIT-CCM-lab/ATOLL. ATOLL is implemented into a web server (https://atoll.drugdesign.unistra.fr/).

Supplementary information
Supplementary data are available at Bioinformatics online.
Silencing of amygdala circuits during sepsis prevents the development of anxiety-related behaviours
Authors: Bourhy Lena , Mazeraud Aurélien , Costa Luis H. A. , Levy Jarod , Rei Damien , Hecquet Estéban , Gabanyi Ilana , Bozza Fernando A. , Chrétien Fabrice , Lledo Pierre-Marie , Sharshar Tarek , Lepousez Gabriel 
Published: December 2021

Abstract
Sepsis is a life-threatening condition induced by a deregulated host response to severe infection. Post-sepsis syndrome includes long-term psychiatric disorders, such as persistent anxiety and post-traumatic stress disorder, whose neurobiological mechanisms remain unknown.
Using a reference mouse model of sepsis, we showed that mice that recovered from sepsis further developed anxiety-related behaviours associated with an exaggerated fear memory. In the brain, sepsis induced an acute pathological activation of a specific neuronal population of the central nucleus of the amygdala, which projects to the ventral bed nucleus of the stria terminalis. Using viral-genetic circuit tracing and in vivo calcium imaging, we observed that sepsis induced persistent changes in the connectivity matrix and in the responsiveness of these central amygdala neurons projecting to the ventral bed nucleus of the stria terminalis. The transient and targeted silencing of this subpopulation only during the acute phase of sepsis with a viral pharmacogenetic approach, or with the anti-epileptic and neuroprotective drug levetiracetam, prevented the subsequent development of anxiety-related behaviours.
Specific inhibition of brain anxiety and fear circuits during the sepsis acute phase constitutes a preventive approach to preclude the post-infection psychiatric outcomes.
Normative intracranial EEG maps epileptogenic tissues in focal epilepsy
Authors: Bernabei John M , Sinha Nishant , Arnold T Campbell , Conrad Erin , Ong Ian , Pattnaik Akash R , Stein Joel M , Shinohara Russell T , Lucas Timothy H , Bassett Dani S , Davis Kathryn A , Litt Brian 
Published: December 2021

AbstractPlanning surgery for patients with medically refractory epilepsy often requires recording seizures using intracranial EEG. Quantitative measures derived from interictal intracranial EEG yield potentially appealing biomarkers to guide these surgical procedures; however, their utility is limited by the sparsity of electrode implantation as well as the normal confounds of spatiotemporally varying neural activity and connectivity. We propose that comparing intracranial EEG recordings to a normative atlas of intracranial EEG activity and connectivity can reliably map abnormal regions, identify targets for invasive treatment and increase our understanding of human epilepsy.Merging data from the Penn Epilepsy Center and a public database from the Montreal Neurological Institute, we aggregated interictal intracranial EEG retrospectively across 166 subjects comprising &gt;5000 channels. For each channel, we calculated the normalized spectral power and coherence in each canonical frequency band. We constructed an intracranial EEG atlas by mapping the distribution of each feature across the brain and tested the atlas against data from novel patients by generating a z-score for each channel. We demonstrate that for seizure onset zones within the mesial temporal lobe, measures of connectivity abnormality provide greater distinguishing value than univariate measures of abnormal neural activity. We also find that patients with a longer diagnosis of epilepsy have greater abnormalities in connectivity. By integrating measures of both single-channel activity and inter-regional functional connectivity, we find a better accuracy in predicting the seizure onset zones versus normal brain (area under the curve = 0.77) compared with either group of features alone.We propose that aggregating normative intracranial EEG data across epilepsy centres into a normative atlas provides a rigorous, quantitative method to map epileptic networks and guide invasive therapy. We publicly share our data, infrastructure and methods, and propose an international framework for leveraging big data in surgical planning for refractory epilepsy.