bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal and Mechanical Characterization of Drawn Polypropylene Fibres
Authors: Krmelová V , Gavendová M , Krmela J , Skalková P , Loksik E 
Published: November 2021

Abstract
The main objective of this work was to investigate the effect of different cellulose (CEL) content and the draw ratio on the thermal and mechanical properties of drawn polypropylene (PP) fibres. The modification of PP fibres during their production can helps to prepare PP fibres with improved properties, guarantees new opportunities for the expansion of an assortment of PP fibres in the clothing and domestic textile industries. The modified PP/CEL fibres were prepared from PP pellets and PP/cellulose masterbatch via the melt spinning technique at 260 °C followed by drawing for various draw ratios in the company Chemosvit, Fibrochem a. s. (Svit, Slovakia). Differential scanning calorimetry (DSC) was used to evaluate the thermal properties of PP fibres. The mechanical properties (tenacity and elongation at break and modulus of elasticity) and low cycle loading of modified PP fibres were also studied. The obtained experimental results of drawn PP/CEL fibres were compared with neat PP fibre prepared under the same technological conditions. Cellulose had a minimal effect on the melting temperatures of fibres and increased of the PP crystallization temperatures in comparison with the neat drawn PP fibre. The limited decrease of mechanical properties of prepared fibres were observed, but the decreases do not influence on the fibres commercial use.
Technical solution of the modern conveyor system
Authors: Jakubovičová L , Kopas P , Vaško M , Handrik M 
Published: November 2021

Abstract
The modern conveyor system finds its place in industrial automation. It offers a full and diverse range of custom conveyor solutions and types. Aluminium profiles offer huge range of different sizes. Conveyors are useful to move materials and smooth transfer along the tracks. Therefore, this paper aimed to designed conveyor system using by aluminium profiles. The aim of the paper is to point out the issue of modularity of our designed conveyor system through design and technological parameters that directly affect its use for the needs of practice. They can be installed almost anywhere, and they transport loads of all shapes, sizes and weights.
Design and selection of a belt drive for an electric generator
Authors: Dudziak M , Domek G 
Published: November 2021

Abstract
The issue of the selection of mechanical drive for medium size power generators was raised in the work. The issue begins with the analysis of the propulsion system in the hydroelectric power plant, in which the turbines were selected for the amount of water flowing and for these turbines electric generators. An overview of the available drive solutions pointed to belt transmissions, which must meet the task of transferring torque from the turbine to the generator. The solution must be durable, which is why the authors conducted a deep analysis of material issues and pointed to modern polymer strips that can meet the challenges posed.
Modern trends in the development of electrical discharge machining
Authors: Kuchta P , Straka Ľ , Zajac J , Radchenko S 
Published: November 2021

AbstractThe current time is characterized by the rapid development of modern production methods. These modern production methods are in many cases closely linked to progressive production methods, including EDM. The required high productivity and product quality is the reason for using such production methods. In addition to flawless production processes and highly sophisticated production equipment, these requirements can only be met using high-quality production tools. This paper, therefore, aims to describe the results of the analysis of current approaches in the field of modern trends in the development of electrical discharge machining, closely focusing on the development of control systems for generating electrical impulses in connection with the development of advanced tool electrodes. The performed analysis is also supplemented by the definition of mutual relations between selected properties of wire tool electrodes, their cutting power, and the achieved quality of the machined surface after electrical discharge machining. This should significantly help in increasing the quality level of the machined surface during wire electrical discharge machining and at the same time higher productivity of the electroerosive process. This will make this technology more competitive compared to other advanced technologies.
Failure analysis of flexible couplings by self-heating
Authors: Grega R , Kacir M , Krajnak J 
Published: November 2021

Abstract
Flexible couplings are applied in mechanical systems to reduce torsional vibrations. Failures in the flexible parts of the couplings are often incorrectly attributed to overloading of the couplings. The goal of the article is to prove by experimental analysis that self-heating occurs in flexible couplings. The self-heating of the flexible coupling and the consequent increase in the temperature of the flexible part is the cause of the failure. Experimental identification of self-heating was performed on three types of flexible couplings. Although these couplings are design different, they are used for a nominal torque of 150Nm.
Modification of the glass surface by DCSBD plasma discharge to improve adhesion of decorative gold
Authors: Janík R , Vargová V , Šulcová J , Pajtášová M 
Published: November 2021

Abstract
The present work, as one of the first scientific works, deals with the modification of the glass surface induced by DCSBD plasma discharge to increase the adhesion of decorative gold layers on glass products. In the study of such a modification, it was necessary to monitor the effectiveness of the modification of the glass surface, and subsequently it was necessary to test the resistance of the deposited gold layers in tests performed directly in operation. In the present work, the adhesion of gold to DCSBD-modified glass surfaces by plasma discharge was uniquely evaluated by image analysis.
Modeling and analysis of motion with wheel slip of the mobile platform with four wheel drive
Authors: Jaskot A , Posiadała B 
Published: November 2021

Abstract
The problem of motion with wheel slip of the four wheeled mobile platform has been discussed in this work. Considering the model of dynamics, the formulation of the initial problem of the platform motion and the numerical algorithm for solving this problem has been presented. The Runge-Kutta 4th order method has been used to integrate the equations of motion. Possible cases of motion of the prototype of the mobile platform with four drive modules have been considered. Taking into account the variable values of the active forces caused by the drive torque and changes in the position of the wheels during the platform motion, as well as the resistant forces opposing the active forces at the contact points of the wheels with the ground, the platform motion simulation results have been obtained. Different wheel settings, with controlling the active forces and directions of their settings while driving have been implemented to the model. The results of motion simulations and their analysis have been included. The results presented in the paper show a significant influence of wheel slip on the parameters of the motion of the mobile platform. The computational model presented in the paper enables a good representation of the platform motion parameters, which has been confirmed by comparing the results of simulation tests with the results of experimental tests of motion in relation to a construction solution of the platform other than described in the paper. Further development of the computational model is planned, mainly in order to include the deformability of the wheel suspension systems in the dynamic model of the platform, which will allow for the implementation of wider studies of the motion of such objects, including, for example, in the case of wheels passing through obstacles.
Damping of layered porous composites and an application in machinery
Authors: Murčinková Z , Radchenko S , Kuchtová G 
Published: November 2021

AbstractThe structured composite can involve the porous materials providing the important internal damping that is usable in mechanical engineering applications. The stiff base material is equipped by layer/s of softer porous material/s covered by constrained layer. Such layered structure is characterized by increased internal damping in vibration process. Paper analyses some either measured or simulated mechanical properties of designed layered porous composites. Novelty provided in paper is a specific application of structured composite for damping the high frequency vibrations in resonance frequency obtaining the beneficial results, e.g. 40-48% of maximum amplitude reduction.
Modification of the structure and properties of hardfaced layers with TIG high frequency method
Authors: Gucwa M , Winczek J , Makles K , Mičian M , Yadav A 
Published: November 2021

Abstract
In this work the investigation is focused on changing the structure and hardness of the surface with high content of carbon and chromium. The use of welding methods to modify the properties of the surface layer allows for optimal use of the properties of materials or changing their properties by differentiate their structure. The surface and structure of hardfaced layers can be improved by additional treatment with another welding arc. The use of the new TIG methods with frequency up to 20000 Hz gives new possibility of the surfacing. The subject of the research were padding welds with the structure of chromium cast iron, which were subjected to the process of remelting the surface layer using the TIG high frequency method. The use of hardfacing and remelting with the TIG method allowed for a noticeable differentiation of the structure, hardness and wear resistance in relation to the initial state.
Drying Machines with Combined Hydrodynamic Regimes
Authors: Artyukhova N , Krmela J , Krmelová V , Artyukhov A 
Published: November 2021

Abstract
The article is devoted to the study of multistage dryers with vertical sectioning of the working space. The factors of influence of the design of the shelf contact and the consumption of the drying agent on the mode of movement of monodisperse and polydisperse material are analyzed. The achievement of the required hydrodynamic regime (at a constant consumption of the drying agent) was ensured by changing the length of the shelf contact, the angle of its inclination to the horizon, and the degree of perforation (free area of cross-section). The features of changing the mode of granular material movement at various stages of the gravitational shelf dryer are shown. A technique for the optimization calculation of a gravitational shelf dryer is proposed. As an objective function, the minimum residence time of the dispersed material in the dryer is taken, at which the required amount of moisture is removed. Variants of the designs of the stages of a gravitational shelf dryer are shown and the features of the movement of dispersed material on the steps are described. The results obtained can be used as the basis for the engineering design of gravitational shelf dryers.
Research of creating mold for crayons with use of additive manufacturing technique
Authors: Šašala M , Hrivniak L , Svetlík J , Ondočko Š 
Published: November 2021

Abstract
For crayons manufacturing are often used big mold from steel. These molds are good for mass production, however they tend to be expensive and not suitable for low volume of production. Goal of this paper is to figure out, if these molds can be created by additive manufacturing technique, what materials are suitable for the job and how final products compare with products on the market manufactured with traditional methods.
ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
Authors: Suryatenggara Jeremiah , Yong Kol Jia , Tenen Danielle E , Tenen Daniel G , Bassal Mahmoud A 
Published: November 2021

Abstract
Chromatin immunoprecipitation coupled with sequencing (ChIP-seq) is a technique used to identify protein–DNA interaction sites through antibody pull-down, sequencing and analysis; with enrichment ‘peak’ calling being the most critical analytical step. Benchmarking studies have consistently shown that peak callers have distinct selectivity and specificity characteristics that are not additive and seldom completely overlap in many scenarios, even after parameter optimization. We therefore developed ChIP-AP, an integrated ChIP-seq analysis pipeline utilizing four independent peak callers, which seamlessly processes raw sequencing files to final result. This approach enables (1) better gauging of peak confidence through detection by multiple algorithms, and (2) more thoroughly surveys the binding landscape by capturing peaks not detected by individual callers. Final analysis results are then integrated into a single output table, enabling users to explore their data by applying selectivity and sensitivity thresholds that best address their biological questions, without needing any additional reprocessing. ChIP-AP therefore presents investigators with a more comprehensive coverage of the binding landscape without requiring additional wet-lab observations.
Automated extraction of genes associated with antibiotic resistance from the biomedical literature
Authors: Brincat Andre , Hofmann Markus 
Published: November 2021

AbstractThe detection of bacterial antibiotic resistance phenotypes is important when carrying out clinical decisions for patient treatment. Conventional phenotypic testing involves culturing bacteria which requires a significant amount of time and work. Whole-genome sequencing is emerging as a fast alternative to resistance prediction, by considering the presence/absence of certain genes. A lot of research has focused on determining which bacterial genes cause antibiotic resistance and efforts are being made to consolidate these facts in knowledge bases (KBs). KBs are usually manually curated by domain experts to be of the highest quality. However, this limits the pace at which new facts are added. Automated relation extraction of gene-antibiotic resistance relations from the biomedical literature is one solution that can simplify the curation process. This paper reports on the development of a text mining pipeline that takes in English biomedical abstracts and outputs genes that are predicted to cause resistance to antibiotics. To test the generalisability of this pipeline it was then applied to predict genes associated with Helicobacter pylori antibiotic resistance, that are not present in common antibiotic resistance KBs or publications studying H. pylori. These genes would be candidates for further lab-based antibiotic research and inclusion in these KBs. For relation extraction, state-of-the-art deep learning models were used. These models were trained on a newly developed silver corpus which was generated by distant supervision of abstracts using the facts obtained from KBs. The top performing model was superior to a co-occurrence model, achieving a recall of 95%, a precision of 60% and F1-score of 74% on a manually annotated holdout dataset. To our knowledge, this project was the first attempt at developing a complete text mining pipeline that incorporates deep learning models to extract gene-antibiotic resistance relations from the literature. Additional related data can be found at https://github.com/AndreBrincat/Gene-Antibiotic-Resistance-Relation-Extraction
Long-term Oncological Outcome of Segmental Versus Extended Colectomy for Colorectal Cancer in Crohn’s Disease: Results from an International Multicentre Study
Authors: Sensi Bruno , Khan Jim , Warusavitarne Janindra , Nardi Alessandra , Spinelli Antonino , Zaghiyan Karen , Panis Yves , Sampietro Gianluca , Fichera Alessandro , Garcia-Granero Eduardo , Espin-Basany Eloy , Konishi Tsuyoshi , Siragusa Leandro , Stefan Samuel , Bellato Vittoria , Carvello Michele , Adams Evan , Frontali Alice , Artigue Michael , Frasson Matteo , Marti-Gallostra Marc , Pellino Gianluca , Sica Giuseppe S 
Published: November 2021

Abstract

Background and Aims
Crohn’s disease increases colorectal cancer risk, with high prevalence of synchronous and metachronous cancers. Current guidelines for colorectal cancer in Crohn’s disease recommend pan-proctocolectomy. The aim of this study was to evaluate oncological outcomes of a less invasive surgical approach.

Methods
This was a retrospective database analysis of Crohn’s disease patients with colorectal cancer undergoing surgery at selected European and US tertiary centres. Outcomes of segmental colectomy were compared with those of extended colectomy, total colectomy, and pan-proctocolectomy. Primary outcome was progression-free survival. Secondary outcomes included overall survival, synchronous and metachronous colorectal cancer, and major postoperative complications.

Results
Ninety-nine patients were included: 66 patients underwent segmental colectomy and 33 extended colectomy. Segmental colectomy patients were older [p = 0.0429], had less extensive colitis [p = 0.0002] and no preoperatively identified synchronous lesions [p = 0.0109].
Median follow-up was 43 [31–62] months. There was no difference in unadjusted progression-free survival [p = 0.2570] or in overall survival [p = 0.4191] between segmental and extended colectomy. Multivariate analysis adjusting for age, sex, ASA score, and AJCC staging, confirmed no difference for progression-free survival (hazard ratio [HR] 1.00, p = 0.9993) or overall survival [HR 0.77, p = 0.6654]. Synchronous and metachronous cancers incidence was 9% and 1.5%, respectively. Perioperative mortality was nil and major complications were comparable [7.58% vs 6.06%, p = 0.9998].

Conclusions
Segmental colectomy seems to offer similar long-term outcomes to more extensive surgery. Incidence of synchronous and metachronous cancers appears much lower than previously described. Further prospective studies are warranted to confirm these results.
Daily sitting time and its association with non-communicable diseases and multimorbidity in Catalonia
Authors: Poses-Ferrer Elisa , Parisi Rosa , Gonzalez-Viana Angelina , Castell Conxa , Arias de la Torre Jorge , Jones Andrew , Serra-Sutton Vicky , Espallargues Mireia , Cabezas Carmen 
Published: November 2021

Abstract

Background
Non-communicable diseases (NCDs) account for 71% of deaths worldwide and individual behaviours such as sedentariness play an important role on their development and management. However, the detrimental effect of daily sitting on multiple NCDs has rarely been studied. This study sought (i) to investigate the association between sitting time and main NCDs and multimorbidity in the population of Catalonia and (ii) to explore the effect of physical activity as a modifier of the associations between sitting time and health outcomes.

Methods
Cross-sectional data from the 2016 National Health Survey of Catalonia were analyzed, and multivariable logistic regression, adjusting for socio-demographics and individual risk factors (tobacco and alcohol consumption, diet, hyperlipidaemia, hypertension, body mass index) was used to estimated odds ratios (ORs) and 95% confidence intervals (CIs) of the association between sitting time and NCDs.

Results
A total of 3320 people ≥15 years old were included in the study. Sitting more than 5 h/day was associated with a higher risk of cardiovascular disease (OR 1.90, 95% CI: 1.21–2.97), respiratory disease (OR 1.61, 95% CI: 1.13–2.30) and multimorbidity (OR 2.80, 95% CI: 1.53–5.15). Sitting more than 3 h/day was also associated with a higher risk of multimorbidity (OR 2.26, 95% CI: 1.23–4.16). Physical activity did not modify the associations between sitting time and any of the outcomes.

Conclusions
Daily sitting time might be an independent risk factor for some NCDs, such as cardiovascular disease, respiratory disease and multimorbidity, independently of the level risk of physical inactivity.
Anomaly detection with vision-based deep learning for epidemic prevention and control
Authors: Samani Hooman , Yang Chan-Yun , Li Chunxu , Chung Chia-Ling , Li Shaoxiang 
Published: November 2021

Abstract
During the COVID-19 pandemic, people were advised to keep a social distance from others. People’s behaviors will also be noticed, such as lying down because of illness, regarded as abnormal conditions. This paper proposes a visual anomaly analysis system based on deep learning to identify individuals with various anomaly types. In the study, two types of anomaly detections are concerned. The first is monitoring the anomaly in the case of falling in an open public area. The second is measuring the social distance of people in the area to warn the individuals under a short distance. By implementing a deep model named You Only Look Once, the related anomaly can be identified accurately in a wide range of open spaces. Experimental results show that the detection accuracy of the proposed method is 91%. In the social distance, the actual social distance is calculated by calculating the plane distance to ensure that everyone can meet the specification. Integrating the two functions and implementing the environmental monitoring system will make it easier to monitor and manage the disease-related abnormalities on the site.
Human-provisioned foods reduce gut microbiome diversity in American black bears (Ursus americanus)
Authors: Gillman Sierra J , McKenney Erin A , Lafferty Diana J R 
Published: November 2021

Abstract
The distal gut is home to the dynamic and influential gut microbiome, which is intimately linked to mammalian health by promoting and facilitating countless physiological functions. In a time of increased anthropogenic pressures on wildlife due to widespread habitat destruction, loss of natural prey/foods, and rapid urbanization, the study of wildlife gut microbiomes could prove to be a valuable tool in wildlife management and conservation. Diet is one of the most influential determinants of a host’s gut microbiome; yet many wildlife agencies allow baiting to facilitate wildlife harvest, although the impact of human-provisioned foods on wildlife gut health is largely unknown. We used stable isotope analysis derived from carbon (δ 13C) to index the use of human-provisioned foods by 35 legally harvested American black bears (Ursus americanus), and16S rRNA gene amplicon sequencing to examine the impact of human-provisioned foods on the gut microbial diversity of black bears. We found that greater long-term consumption of human-provisioned foods was associated with significantly reduced microbial species richness and phylogenetic diversity. Our results indicate that consumption of anthropogenic foods through baiting significantly alters the mammalian gut microbiome.