bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified mortars for elements of multilayered constructions and repair works and developing data storage system for research results
Authors: Shinkevich E S , Grishin S I , ATertychny A , Surkov A I 
Published: December 2019

Abstract
Based on the research performed, a comparative analysis of the changes in the properties of activated and non-activated fine-grained mixtures and mortars depending on the different specific surface: fine fillers: finely ground tripoli or sand, as well as on the content of inorganic PFM: highly active meta-kaolin, wollastonite and super-plasticizing additive superplasticizer S-3 or Melflux. The carried out researches show wide possibilities of modification of compositions by organomineral ecologically harmless additives and testify to rationality of development of complex additives separately for the activated and not activated fine-grained mortars. It is shown that when switching to another type of filler, even the same chemical composition, the dosages of all components and their ratio should be adjusted optimally. When switching to another type of mixture preparation, the ratio of components. Practical results obtained by the author provide the required and additional quality indicators, increase the physical and mechanical properties of fine-grained mortars, increase productivity. Theoretically substantiated and experimentally confirmed the effectiveness of the joint use of fine fillers, superplasticizer S-3 or Melflux, the high activity of metakaolin and wollastonite as a part of the binder in the fine-grained mixture and concrete. The architectural pattern of the decision support system for analyzing the properties of fine-grained multifunctional concrete has been developed.
Increasing the water resistance of magnesium binders
Authors: Shulgin V V , Demchenko O V , Gukasian O M , Petrash R V 
Published: December 2019

Abstract
In this work, we have experimentally selected concrete compositions based on magnesium binders and optimized with the addition of a butonal. Effects on strength, water absorption and water resistance of concrete, consumption of magnesium binder, sugar mud, and polymer latex Butonal NS 198 additives are investigated. The study was conducted using a two-factor experiment. The algebraic equations of the tensile strength of concrete, water absorption, and softening coefficient were obtained based on magnesium binders, which characterize the dependence on the variables: magnesium binder consumption, sugar mud, and additives. Refined factor values when the optimal ratio of additive components is reached to obtain concrete based on magnesium binder with softening ratio Cs = 0.98, by introducing the butonal into the concrete. The conclusions provide quantitative indicators on the results of these studies.
Research on factors affecting the operational reliability of water and sewer utility networks
Authors: Starkova O V , Aleinikova A I , Kolomiiets Y V 
Published: December 2019

Abstract
Factors affecting the operational life of the water supply and sewer utility networks have been investigated. A method has been proposed for identifying the main factors affecting the operational reliability of distribution networks, which is based on the use of the expert evaluation method. It has been found that the most affecting factors are: pipeline material; corrosion of pipe and joint materials due to the corrosive environment; technical condition; service life; non-compliance of pipe grades to design value; ambient operation conditions. A more in-depth study of the issue will allow operating companies to promote the extension of the operation life of distribution networks.
Analysis of physico-chemical processes under maintenance of masonry enclosing structures
Authors: Vinichenko V , Gabitov A I , Rolnik L Z , Ryazanova V A , Chernova A R 
Published: December 2019

Abstract
Technical condition of exterior brick walls of Ufa residential buildings built in 40-70s together with defects and damages detected is assessed herein, diagnostics of both physico-chemical and physico-mechanical values for serviceability of structures of 40s, 70s and 2000s is made. The expected protection mechanism is proposed to be used in every considered level of rehabilitation to maintain the residual service life and to increase serviceability of damaged residential building walls. The proposed levels of rehabilitation have been tested in cities of the Republic of Bashkortostan under the Program for total renovation of multi-apartment residential buildings.
Simulation of unsteady flow with cavitation in plastic pipes using the discrete bubble cavity and Adamkowski models
Authors: Urbanowicz K , Bergant A , Duan H F 
Published: December 2019

Abstract
The work presents two modified cavitation models for the simulation of transient flow in pressure plastic pipes. The first model is a discrete bubble cavitation model, the prototype of which was presented by Shu, and the second one is the Adamkowski model. In the latter model, the problem encountered in the classical model (DVCM -discrete vapour cavitation model) related to artificial damping of pulsation, which results from approximate timing of cavity opening and collapse. In both models, the corrected efficient calculation of Zielke convolution integral was used to simulate the unsteady wall shear stresses. The numerical results from the two models agree well with the results of measurement in the literature.
Thermal bridge occurrence in straw-bale timber frame walls
Authors: Brzyski P , Kosiński P , Nadratowska M 
Published: December 2019

Abstract
Timber frame walls usually require additional filling that improves their thermal insulation. Straw bales, which constitute a waste product from cereals, are a sustainable solution employed for that purpose. The temperature distribution in a wall is influenced by the heterogeneity of the partition that comprises the elements characterised by higher thermal conductivity, i.e. timber frame. Thermal bridges (i.e. thermally weaker areas) in walls are conducive to the mould growth as well as condensation; thus, it is important to take these phenomena into account at the wall designing stage. The work describes a 2D heat-transfer analysis carried out with the finite element method by means of THERM software. The analysis involved several different variants of external walls and corners. The thermal parameters of the investigated straw were derived from our former research. The obtained results were shown as the values of thermal transmittance coefficient and linear thermal transmittance equivalent to timber construction. The temperature distribution for the investigated wall was presented in a graphical form. The study also involved examining the possibility of surface condensation.
Shot peening intensity effect on bending fatigue strength of S235, S355 and P460 structural steels
Authors: Macek W , Szala M , Kowalski M , Gargasas J , Rehmus-Forc A , Deptuła A 
Published: December 2019

Abstract
In this study, the effect of shot peening intensity of the structural steel specimens on the bending fatigue strength was investigated. Three structural steels S235JRG2, S355J2+N, P460NH were shot-peened with three levels of intensity. The results of fatigue tests were compared with non-peening processed samples. S-N curves in fatigue were determined in cyclic bending fatigue. The novel attempt to evaluate the bending fatigue, which relies on the 3D optical profiler measurement of the side-area of fractures, was proposed. All investigated steels present ferritic-pearlitic structure. Moreover, due to the peening process, refinement of the grains size was observed. Also, fractures were analysed with the 3D profiler. In the presented results of research, the highest level of peening gave the greater increase in fatigue life. For all types of investigated steels, shot-peening gave superior results of fatigue bending performance compared with unpeened specimens.
Diagnostics of welding process based on thermovision images using convolutional neural network
Authors: Piecuch G , Madera M , Żabiński T 
Published: December 2019

Abstract
Arc welding used at automated workstations in large-scale production systems requires continuous assessment of welded joints quality. There are known classical methods and diagnostic systems based on the observation of welding current or arc voltage, while along with the development of deep learning methods, the interest in diagnostics by the use of images is increasing. The article presents results of research conducted for the process of joining two stainless steel materials (AISI 304 and AISI 316L) of various thicknesses by means of a fillet weld, aimed at developing a method of diagnosing the welding process using a convolutional neural network. Infrared images recorded using two thermovision cameras mounted on a test stand were used to diagnose the process. EWM Tetrix 351 welding machine operating in TIG technology was used as an executive element. Welds were made at different currents and arc welding voltages, as well as at different welding speeds, which had a direct impact on its quality. The solution for binary classification of welded joints (correct or incorrect) with accuracy above 98% was achieved.
FEM 3D analysis of rock cone failure range during pull-out of undercut anchors
Authors: Jonak J , Siegmund M 
Published: December 2019

Abstract
The paper presents the results from FEM (Finite Element Method) analysis of the process of pulling out of the undercut anchor. Anchors of this type are generally used to fasten steel structural elements in concrete buildings. However, the presented issue concerns a new area of application of these fasteners, i.e. in the aspect of the potential mining of rock in atypical situations, such as in mining rescue operations. Generally, in such situations there is no possibility of mechanical mining of rock with the use of mining machines and the use of explosives is even prohibited. There are only manual loosening methods whose effectiveness is unknown. Currently, the basic issue is to gain insight into the mechanism of loosening, the mechanics of the process in terms of the extent of loosening and shaping the force of pulling out anchors in a given rock. An effective tool in this type of analysis is FEM analysis, the results of which are presented in the paper.
The structure of higher aquatic vegetation in the genetic series of floodplain reservoirs
Authors: Babko R , Diachenko T , Danko Y , Zaburko J , Szulżyk-Cieplak J 
Published: December 2019

Abstract
The statistical analysis was carried out on the material collected from the Vorskla River (a first-order tributary of the Dnieper River) and the system of connected water bodies in the territory of the Getmanski National Nature Park (Sumy region, Ukraine). The methods of cluster analysis has enabled us to, first, isolate groups analogous to those obtained with the use of the method of dominants and, secondly, to compare the degree of their coincidence. From the comparison of the associations with the groups of the aquatic vegetation’s species, a minimal overlapping could be seen in the composition of associations and clusters. In contrast, the groups identified by the hierarchical clustering method and by the k-means method showed significant similarities in the composition. For the objective assessment and classification of plant associations, it is most productive to use several methods with the coincidence of the results of which, it is possible to assert with more confidence that these combinations of species in nature are in fact not random.
Enhancing the thermoelectric performance of ZnO film by sputter-deposition of Ag nanoparticles
Authors: Sun Mingze , Wang Kai , Sun Naikun , Zhang Xianmin 
Published: December 2019

Abstract
Owing to the surface plasmon resonance (SPR), noble metal nanoparticles (NPs) have been intensively employed to improve the optical properties of semiconductors. In this work, Ag NPs are deposited on fully c-axis oriented ZnO film with high-crystallinity prepared by radiofrequency magnetron sputtering on glass substrates. After Ag sputtering of 15 s, the ultraviolet light emission intensity of ZnO film significantly is increased by 50% due to the SPR of Ag NPs. Moreover, the conductive behavior changes from n-type semiconductor to metal-like with room-temperature conductivity sharply increasing by nearly three orders of magnitude from 4.8 for pure ZnO film to 3400 S cm−1 for Ag-deposited ZnO film. The change of conductive behavior and the remarkable increase of the conductivity can be ascribed to isolated Ag NPs with high-density electrons which are distributed on the ZnO film, leading to an increase of carrier concentration that exceeds Mott’s critical density (>1019 cm−3). Hall measurements show that after Ag sputtering of 15 s, the mobility increases from about 8 to 40 cm2 V−1s−1 and that the carrier concentration increases from 4 × 1018 to 5 × 1020 cm−3. Owing to the remarkable improvement of the conductivity, the power-factor value at room temperature is enhanced from 11.5 to 49.2 μWm−1K−2.
Rice grain quality degradation and economic loss due to global warming in Japan
Authors: Masutomi Yuji , Takimoto Takahiro , Shimamura Muneyoshi , Manabe Toru , Arakawa Makoto , Shibota Naoya , Ooto Atsuya , Azuma Satoshi , Imai Yoko , Tamura Makoto 
Published: December 2019

Abstract
Global warming is predicted to have significant impacts not only on crop productivity but also on crop quality, leading to economic loss. In the present study, focusing on grain quality of rice in Japan, we assessed the impact of global warming on the occurrence of low quality rice grain called ‘chalky rice grain’, and the incurred economic loss. Using 10 future climate scenarios and a simulation model to estimate the occurrence of chalky rice grain, we showed that global warming will double the occurrence of chalky rice grain by the 2040 s under RCP8.5. This corresponds to one third of paddy rice fields in Japan showing a decrease in grain grade. This would produce an annual economic loss of 401.4 million US$/yr under RCP8.5 in the 2040 s. These results suggest that the development and implementation of national and local adaptation strategies are urgently needed for rice production in Japan.
SMART: SuperMaximal approximate repeats tool
Authors: Ayad Lorraine A K , Charalampopoulos Panagiotis , Pissis Solon P 
Published: December 2019

Abstract

Summary
State-of-the-art repeat analysis tools rely on extending maximal repeated pairs to enumerate maximal k-mismatch repeats. These pairs can be quadratic in n, the length of the input sequence, and thus greedy heuristics are applied to speed up the extension. Here, we introduce supermaximal k-mismatch repeats, which are linear in n and capture all maximal k-mismatch repeats: every maximal k-mismatch repeat is a substring of some supermaximal k-mismatch repeat. We present SMART, a tool based on recent algorithmic advances implemented in C++ to compute supermaximal k-mismatch repeats directly, and show that these elements are statistically much more significant than the output of the state-of-the-art.

Availability and implementation
http://github.com/lorrainea/smart (GNU GPL v3.0).

Supplementary information
Supplementary data are available at Bioinformatics online.
OK Computer: the creation and integration of AI in Europe
Authors: Buarque Bernardo S , Davies Ronald B , Hynes Ryan M , Kogler Dieter F 
Published: December 2019

Abstract
This article investigates the creation and integration of artificial intelligence (AI) patents in Europe. We create a panel of AI patents over time, mapping them into regions at the NUTS2 level. We then proceed by examining how AI is integrated into the knowledge space of each region. In particular, we find that those regions where AI is most embedded into the innovation landscape are also those where the number of AI patents is largest. This suggests that, to increase AI innovation, it may be necessary to integrate it with industrial development, a feature central to many recent AI-promoting policies.
Myocardial slices come to age: an intermediate complexity in vitro cardiac model for translational research
Authors: Pitoulis Fotios G , Watson Samuel A , Perbellini Filippo , Terracciano Cesare M 
Published: December 2019

AbstractAlthough past decades have witnessed significant reductions in mortality of heart failure together with advances in our understanding of its cellular, molecular, and whole-heart features, a lot of basic cardiac research still fails to translate into clinical practice. In this review we examine myocardial slices, a novel model in the translational arena. Myocardial slices are living ultra-thin sections of heart tissue. Slices maintain the myocardium’s native function (contractility, electrophysiology) and structure (multicellularity, extracellular matrix) and can be prepared from animal and human tissue. The discussion begins with the history and current advances in the model, the different interlaboratory methods of preparation and their potential impact on results. We then contextualize slices’ advantages and limitations by comparing it with other cardiac models. Recently, sophisticated methods have enabled slices to be cultured chronically in vitro while preserving the functional and structural phenotype. This is more timely now than ever where chronic physiologically relevant in vitro platforms for assessment of therapeutic strategies are urgently needed. We interrogate the technological developments that have permitted this, their limitations, and future directions. Finally, we look into the general obstacles faced by the translational field, and how implementation of research systems utilizing slices could help in resolving these.
Recurrent myocardial infarction due to coronary artery aneurysm in Behçet’s syndrome: a case report
Authors: Guo Yanan , Tang Liang , Tang Jianjun , Zhou Shenghua 
Published: December 2019

Abstract

Background
Behçet’s syndrome (BS) is a multisystemic vasculitis of unknown aetiology. Coronary involvement is extremely uncommon in BS, with a reported prevalence of 0.5%. The mortality of cardiovascular manifestation in BS is 20%, while there are still considerable challenges in the management of these patients.

Case summary
We report the case of a 30-year-old young man with a 12-year history of BS complicated by left anterior descending coronary (LAD) aneurysms, stenosis, and recurrent myocardial infarction. Percutaneous coronary intervention treated the stenosis and aneurysms of the LAD, but the coronary angiography clearly revealed an acute stent thrombosis after 7 months. This unusual coronary complication of BS treated successfully is presented.

Discussion
Our case demonstrated the feasibility of covered stent, immunosuppressive therapy, and escalated antithrombotic regimen in the treatment of BS patients with coronary artery aneurysm (CAA). We also demonstrated that drug-eluting stents may aggravate aneurysmal dilatation of the CAA under inefficient immunosuppressive therapy.
High-voltage impedance rise; mechanism and management in patients with transvenous implantable cardioverter-defibrillators: a case series
Authors: Monkhouse Christopher , Cambridge Alex , Chow Anthony W C , Behar Jonathan M 
Published: December 2019

Abstract

Background
We describe a case series of patients for a gradual rise in daily, low-voltage sub-threshold measurement (LVSM) of shock (high-voltage, HV) impedance in a group of patients with Boston Scientific implantable cardioverter-defibrillators (ICDs) and investigate the cause of the abnormality.

Case summary
Six patients presented with a gradual rise in HV impedance above normal range (132.5 ± 20.8 Ω). Patients were young with a mean age of 29 ± 11 years, four patients had hypertrophic cardiomyopathy, one left ventricular non-compaction, and one long QT. All lead designs were silicon body with GORE polytetrafluoroethylene (ePTFE) coated coils, and a lower true shock impedance (TSI) was seen in all cases with full output synchronized shock. We compared the rate of HV impedance rise with our historical cohort of Boston ICDs using an unpaired t-test. The change in impedance per month was significantly higher amongst our six patients when compared with our cohort of Boston Scientific ICDs (3.2 ± 1.9 Ω/month vs. 0.0008 ± 0.005 Ω/month, P &lt; 0.001). Patients were individually investigated and management discussed in a dedicated device multi-disciplinary team meeting (MDT).

Discussion
There are distinct differences between TSI and LVSM. The TSI is derived from a full output shock, whilst LVSM is calculated from a small current output. These cases highlight the inaccuracies of the LVSM measurement. The gradual rise in LVSM is significantly higher than the value for TSI in these patients we propose the most likely mechanism is encapsulation fibrosis surrounding the right ventricular shock coil. Management for these patients requires vigorous testing to rule out electrical failure, and replacement maybe necessary.
Benchmark of long non-coding RNA quantification for RNA sequencing of cancer samples
Authors: Zheng Hong , Brennan Kevin , Hernaez Mikel , Gevaert Olivier 
Published: December 2019

Abstract

Background
Long non-coding RNAs (lncRNAs) are emerging as important regulators of various biological processes. While many studies have exploited public resources such as RNA sequencing (RNA-Seq) data in The Cancer Genome Atlas to study lncRNAs in cancer, it is crucial to choose the optimal method for accurate expression quantification.

Results
In this study, we compared the performance of pseudoalignment methods Kallisto and Salmon, alignment-based transcript quantification method RSEM, and alignment-based gene quantification methods HTSeq and featureCounts, in combination with read aligners STAR, Subread, and HISAT2, in lncRNA quantification, by applying them to both un-stranded and stranded RNA-Seq datasets. Full transcriptome annotation, including protein-coding and non-coding RNAs, greatly improves the specificity of lncRNA expression quantification. Pseudoalignment methods and RSEM outperform HTSeq and featureCounts for lncRNA quantification at both sample- and gene-level comparison, regardless of RNA-Seq protocol type, choice of aligners, and transcriptome annotation. Pseudoalignment methods and RSEM detect more lncRNAs and correlate highly with simulated ground truth. On the contrary, HTSeq and featureCounts often underestimate lncRNA expression. Antisense lncRNAs are poorly quantified by alignment-based gene quantification methods, which can be improved using stranded protocols and pseudoalignment methods.

Conclusions
Considering the consistency with ground truth and computational resources, pseudoalignment methods Kallisto or Salmon in combination with full transcriptome annotation is our recommended strategy for RNA-Seq analysis for lncRNAs.