bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization and behavior of basalt fiber‐reinforced lightweight concrete
Authors: Divyah Nagarajan , Thenmozhi Rajagopal , Neelamegam Meyappan , Prakash Ramaiah 
Published: August 2020

AbstractThe improvised construction techniques and utilization of industrial wastes in manufacturing concrete play a major role in sustainability. The artificially manufactured aggregates are gaining importance in the present era. The use of fibers as secondary reinforcement is greatly pronounced. Sintered fly ash aggregate concrete and normal aggregate concrete with and without basalt fiber with 28 days compressive strength of 30 Mpa were cast and tested. The stress–strain curve of the lightweight concrete has a lower modulus of elasticity when compared with the normal aggregate concrete. A simple linear relationship has been developed between the mechanical properties using regression analysis. The water absorption and void ratio had a direct relationship with the sorptivity and ponding of concrete. The strength and durability aspects of the lightweight aggregate concrete had better agreement with the requirements of the structural lightweight concrete. Strict adherence to codal provisions with respect to strength and durability can be made for improvised behavior.
Influence of brick dust, stone dust, and recycled fine aggregate on properties of natural and recycled aggregate concrete
Authors: Chakradhara Rao Meesala 
Published: August 2020

AbstractThe brick, stone, and construction industries produces huge quantities of non‐biodegradable waste materials and incorporation of such waste materials in concrete eventually leads to the green and sustainable construction. The present paper study the effect of partial substitution of brick dust (BD), stone dust (SD), and recycled fine aggregate (RFA) as fine aggregate on the properties of natural aggregate concrete (NAC) and recycled aggregate concrete (RAC). In the present investigation, two groups of mixes were considered: Group A consists of 100% natural coarse aggregate (NCA) and group B consists of 50% NCA and 50% recycled coarse aggregate. In each group, the natural fine aggregate was partially replaced with 30% BD, 30% SD, and 30% RFA separately. All mixes were designed for M25 grade concrete with a constant w/c ratio of 0.45. The properties viz. compressive strength, density, indirect tensile strength, water absorption, ultrasonic pulse velocity of all mixes was performed. Also, durability performance of all the mixes under acid conditions viz.: HCl and H2SO4 solutions were studied. From the results it was found that the compressive strength and split tensile strengths (27.95–23.23%) of both natural and recycled aggregate concrete were significantly increased with the partial substitution of SD. Also, the results reveal that the water absorption decreased by 57.14–69.64% and 4.67–34.67%, respectively, when the replacement of NFA with BD and SD in both NAC and RAC. Both natural and recycled aggregate concrete were more susceptible for H2SO4 than HCl acid in terms of loss of weight and compressive strength.
Uncertainty and Narratives of the Future: A Theoretical Framework for Contemporary Fertility
Authors: Vignoli Daniele , Bazzani Giacomo , Guetto Raffaele , Minello Alessandra , Pirani Elena 
Published: August 2020

AbstractExplanations for fertility decisions based on structural constraints—such as labor, housing condition, or income—do not account for the contemporary fertility downturn faced by many countries in Europe. In this paper, we posit that the rise of uncertainty is central for understanding contemporary fertility dynamics. We propose a theoretical framework (the Narrative Framework) for the study of fertility decisions under uncertain conditions based on expectations, imaginaries and narratives. Relying on the idea of future–oriented action, we argue that uncertainty needs to be conceptualized and operationalized taking into account that people use works of imagination, producing their ownnarrative of the future. Narratives of the future are potent driving forces helping people to actaccording toordespiteuncertainty. We present the different elements of the Narrative Framework and address its causal validity. We conclude by highlighting the advantages of taking into account the narratives of the future in fertility research.
Rheological and physical analysis of oil-water emulsion based on enzymatic structured fat
Authors: Kowalska Małgorzata , Krztoń-Maziopa Anna , Babut Monika , Mitrosz Paulina 
Published: August 2020

AbstractStructured triacylglycerols play an important role in determining the functional properties of fat-based emulsion products. The aim of the study was to evaluate the physical properties of the emulsion systems manufactured on the basis of enzymatically modified rabbit fat with pumpkin seed oil in the presence of sn-1,3 regioselective lipase. Emulsions containing variable contents of thickener and variable fat ratios were analyzed for rheological behavior and particle size changes during storage, and their stability was assessed using the Turbiscan test. The results showed that the emulsion containing the majority of rabbit fat and 1 wt% of carboxymethylcellulose was characterized by the highest stability. On the other hand, the emulsions containing higher amounts of pumpkin seed oil in a fatty base characterized the lowest resistance to destabilization processes. The research confirmed the possibility of producing structured fat which can be the basis for new emulsion systems proposed as a food, cosmetic, and pharmaceutical product.
Elasticity-dependent response of malignant cells to viscous dissipation
Authors: Charrier Elisabeth E. , Pogoda Katarzyna , Li Robin , Wells Rebecca G. , Janmey Paul A. 
Published: August 2020

AbstractThe stiffness of the cellular environment controls malignant cell phenotype and proliferation. However, the effect of viscous dissipation on these parameters has not yet been investigated, in part due to the lack of in vitro cell substrates reproducing the mechanical properties of normal tissues and tumors. In this article, we use a newly reported viscoelastic polyacrylamide gel cell substrate, and we characterize the impact of viscous dissipation on three malignant cell lines: DU145 and PC3 derived from prostate and LN229 from brain. The spreading, motility and proliferation rates of these cells were analyzed on 1 kPa and 5 kPa elastic and viscoelastic gels. Surprisingly, the effect of substrate viscous dissipation on cell behavior depended on substrate stiffness for the three cell types tested. We conclude that viscoelasticity controls the spreading, proliferation and migration of malignant cells in vitro. These results highlight the critical role of viscous dissipation in the phenotype and proliferation of malignant cells, especially in stiff tumor environments.
The risk of cardiovascular complications in inflammatory bowel disease
Authors: Czubkowski Piotr , Osiecki Marcin , Szymańska Edyta , Kierkuś Jarosław 
Published: August 2020

AbstractInflammatory bowel disease (IBD) is a chronic, relapsing disease of unknown etiology involving gastrointestinal tract. IBD comprises two main entities: ulcerative colitis and Crohn’s disease. Several studies showed increased risk of cardiovascular complications in chronic inflammatory disorders, especially during IBD relapses. Endothelium plays a role in physiologic regulation of vascular tone, cell adhesion, migration and resistance to thrombosis. Also, its dysfunction is associated with increased risk of atherosclerosis development. There are several potential links between chronic IBD-related inflammatory processes and the risk of cardiovascular disease, but insight into pathogenetic pathways remains unclear. We present the current concepts and review of adult and pediatric studies on the risk of CVD in IBD.
Enchantment in Business Ethics Research
Authors: Bell Emma , Winchester Nik , Wray-Bliss Edward 
Published: August 2020

AbstractThis article draws attention to the importance of enchantment in business ethics research. Starting from a Weberian understanding of disenchantment, as a force that arises through modernity and scientific rationality, we show how rationalist business ethics research has become disenchanted as a consequence of the normalization of positivist, quantitative methods of inquiry. Such methods absent the relational and lively nature of business ethics research and detract from the ethical meaning that can be generated through research encounters. To address this issue, we draw on the work of political theorist and philosopher, Jane Bennett, using this to show how interpretive qualitative research creates possibilities for enchantment. We identify three opportunities for reenchanting business ethics research related to: (i) moments of novelty or disruption; (ii) deep, meaningful attachments to things studied; and (iii) possibilities for embodied, affective encounters. In conclusion, we suggest that business ethics research needs to recognize and reorient scholarship towards an appreciation of the ethical value of interpretive, qualitative research as a source of potential enchantment.
Surface Tension and Viscosity of Binary Mixtures of the Fluorinated and Non-fluorinated Ionic Liquids [PFBMIm][PF6] and [C4C1Im][PF6] by the Pendant Drop Method and Surface Light Scattering
Authors: Koller Thomas M. , Lenahan Frances D. , Schmidt Patrick S. , Klein Tobias , Mehler Julian , Maier Florian , Rausch Michael H. , Wasserscheid Peter , Steinrück Hans-Peter , Fröba Andreas P. 
Published: August 2020

AbstractMixtures of fluorinated and non-fluorinated ionic liquids (ILs) show a distinct structural organization in the bulk and at the surface. To understand how such microscopic effects influence the macroscopic bulk and surface properties of IL mixtures, knowledge of corresponding thermophysical properties including viscosity and surface tension is required yet lacking. With the intention of investigating surface enrichment effects of the fluorinated IL [PFBMIm][PF6] (3-methyl-1-(3,3,4,4,4-pentafluorobutyl)imidazolium hexafluorophosphate) in mixtures with the structurally similar, non-fluorinated IL [C4C1Im][PF6] (1-butyl-3-methylimidazolium hexafluorophosphate) observed with angle-resolved X-ray photoelectron spectroscopy (ARXPS), the pendant drop method and surface light scattering (SLS) were applied in the present study to determine surface tension and dynamic viscosity between (293 and 368) K. By adding small amounts of [PFBMIm][PF6] up to 9 mol %, a distinct increase in the viscosity and decrease in the surface tension of the mixtures relative to the properties of pure [C4C1Im][PF6] was found. This behavior reflects the nanosegregated structure in the bulk and at the surface of the binary IL mixtures. Using the results about the pronounced surface enrichment of the fluorinated chain of [PFBMIm][PF6] quantified by ARXPS, a linear mixing rule for the surface tension of the IL mixtures based on the surface tensions of the pure ILs and the surface concentration of their most surface-active groups is suggested.
Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets
Authors: Singh Jyoti Prakash , Kumar Abhinav , Rana Nripendra P. , Dwivedi Yogesh K. 
Published: August 2020

AbstractTwitter has become a fertile place for rumors, as information can spread to a large number of people immediately. Rumors can mislead public opinion, weaken social order, decrease the legitimacy of government, and lead to a significant threat to social stability. Therefore, timely detection and debunking rumor are urgently needed. In this work, we proposed an Attention-based Long-Short Term Memory (LSTM) network that uses tweet text with thirteen different linguistic and user features to distinguish rumor and non-rumor tweets. The performance of the proposed Attention-based LSTM model is compared with several conventional machine and deep learning models. The proposed Attention-based LSTM model achieved an F1-score of 0.88 in classifying rumor and non-rumor tweets, which is better than the state-of-the-art results. The proposed system can reduce the impact of rumors on society and weaken the loss of life, money, and build the firm trust of users with social media platforms.
A characterization of optimal multiprocessor schedules and new dominance rules
Authors: Walter Rico , Lawrinenko Alexander 
Published: August 2020

AbstractThe paper on hand approaches the classical makespan minimization problem on identical parallel machines from a rather theoretical point of view. Using an approach similar to the idea behind inverse optimization, we identify a general structural pattern of optimal multiprocessor schedules. We also show how to derive new dominance rules from the characteristics of optimal solutions. Results of our computational study attest to the efficacy of the new rules. They are particularly useful in limiting the search space when each machine processes only a few jobs on average.
A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees
Authors: Xie Yunxin , Zhu Chenyang , Hu Runshan , Zhu Zhengwei 
Published: August 2020

AbstractLithology identification is vital for reservoir exploration and petroleum engineering. Recently, there has been growing interest in using an intelligent logging approach for lithology classification. Machine learning has emerged as a powerful tool in inferring lithology types with the logging curves. However, well logs are susceptible to logging parameter manual entry, borehole conditions and tool calibrations. Most studies in the field of lithology classification with machine learning approaches have focused only on improving the prediction accuracy of classifiers. Also, a model trained in one location is not reusable in a new location due to different data distributions. In this paper, a unified framework is provided for training a multi-class lithology classification model for a data set with outlier data. In this paper, a coarse-to-fine framework that combines outlier detection, multi-class classification with an extremely randomized tree-based classifier is proposed to solve these issues. An unsupervised learning approach is used to detect the outliers in the data set. Then a coarse-to-fine inference procedure is used to infer the lithology class with an extremely randomized tree classifier. Two real-world data sets of well-logging are used to demonstrate the effectiveness of the proposed framework. Comparisons are conducted with some baseline machine learning classifiers, namely random forest, gradient tree boosting, and xgboosting. Results show that the proposed framework has higher prediction accuracy in sandstones compared with other approaches.
A novel facial image recognition method based on perceptual hash using quintet triple binary pattern
Authors: Tuncer Turker , Dogan Sengul , Abdar Moloud , Pławiak Paweł 
Published: August 2020

AbstractImage classification (categorization) can be considered as one of the most breathtaking domains of contemporary research. Indeed, people cannot hide their faces and related lineaments since it is highly needed for daily communications. Therefore, face recognition is extensively used in biometric applications for security and personnel attendance control. In this study, a novel face recognition method based on perceptual hash is presented. The proposed perceptual hash is utilized for preprocessing and feature extraction phases. Discrete Wavelet Transform (DWT) and a novel graph based binary pattern, called quintet triple binary pattern (QTBP), are used. Meanwhile, the K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms are employed for classification task. The proposed face recognition method is tested on five well-known face datasets: AT&T, Face94, CIE, AR and LFW. Our proposed method achieved 100.0% classification accuracy for the AT&T, Face94 and CIE datasets, 99.4% for AR dataset and 97.1% classification accuracy for the LFW dataset. The time cost of the proposed method isO(nlogn). The obtained results and comparisons distinctly indicate that our proposed has a very good classification capability with short execution time.
The I: A dimensional account
Authors: Fasching Wolfgang 
Published: August 2020

AbstractI have a clear idea of what it means that I have experiences in the past or future, and it does not seem to mean that experiences take place that possess certain content-characteristics, but simply and irreducibly thatIexperience them – i.e. that they are, at the time of their occurrence, experientially presentto me–, whatever their contents may be. So the central question regarding personal identity is: What is this “I”to whomthe experiences are present, and what is the nature of its identity across changing experiences? Following Zahavi, I suggest that the subject is not to be conceived as a merely postulated trans-experiential entity but has its very being in experiential presence itself. Yet the question is how to conceive of this presence. When we understand it as a property or quality of the experiences (as Zahavi seems to do), the problem is that every experience that has ever been experienced possesses this property, and so it cannot account for what it means that some experiences are experiencedby meand not some other subject. In contrast, I suggest (following Klawonn’s “I-dimension” theory) understanding experiential presence not as a property of the experiences but as a dimension which is able to comprise many experiences and to abide as identical through their change – an idea that can also be found in some formulations of Zahavi’s, but which he does not distinguish with the necessary clarity from the quality account.
Characterization and catalytic activity of soft-templated NiO-CeO2 mixed oxides for CO and CO2 co-methanation
Authors: Atzori Luciano , Cutrufello Maria Giorgia , Meloni Daniela , Onida Barbara , Gazzoli Delia , Ardu Andrea , Monaci Roberto , Sini Maria Franca , Rombi Elisabetta 
Published: August 2020

AbstractNanosized NiO, CeO2 and NiO-CeO2 mixed oxides with different Ni/Ce molar ratios were prepared by the soft template method. All the samples were characterized by different techniques as to their chemical composition, structure, morphology and texture. On the catalysts submitted to the same reduction pretreatment adopted for the activity tests the surface basic properties and specific metal surface area were also determined. NiO and CeO2 nanocrystals of about 4 nm in size were obtained, regardless of the Ni/Ce molar ratio. The Raman and X-ray photoelectron spectroscopy results proved the formation of defective sites at the NiO-CeO2 interface, where Ni species are in strong interaction with the support. The microcalorimetric and Fourier transform infrared analyses of the reduced samples highlighted that, unlike metallic nickel, CeO2 is able to effectively adsorb CO2, forming carbonates and hydrogen carbonates. After reduction in H2 at 400 °C for 1 h, the catalytic performance was studied in the CO and CO2 co-methanation reaction. Catalytic tests were performed at atmospheric pressure and 300 °C, using CO/CO2/H2 molar compositions of 1/1/7 or 1/1/5, and space velocities equal to 72000 or 450000 cm3·h−1·gcat−1. Whereas CO was almost completely hydrogenated in any investigated experimental conditions, CO2 conversion was strongly affected by both the CO/CO2/H2 ratio and the space velocity. The faster and definitely preferred CO hydrogenation was explained in the light of the different mechanisms of CO and CO2 methanation. On a selected sample, the influence of the reaction temperature and of a higher number of space velocity values, as well as the stability, were also studied. Provided that the Ni content is optimized, the NiCe system investigated was very promising, being highly active for the COx co-methanation reaction in a wide range of operating conditions and stable (up to 50 h) also when submitted to thermal stress.
Numerical Assessment of In-Line Rotor–Stator Mixers in High-Shear Melt Conditioning (HSMC) Technology
Authors: Lebon Gerard Serge Bruno , Lazaro-Nebreda Jaime , Patel Jayesh B. , Fan Zhongyun 
Published: August 2020

AbstractHigh shear melt conditioning technology refines the as-cast structure of light alloy melts, thereby improving the mechanical properties of the casting and reducing the occurrence of defects, without requiring chemical grain refiners. To upscale the technology and apply it to processes involving larger melt volumes, a computational fluid dynamics study is conducted with three rotor–stator mixers operating in both batch and continuous modes. Analysis of the results show that rotor–stator mixers with smaller stator holes outperform those with larger ones because of larger shear rates—increasing the deagglomeration rate—and larger volume flow rates—increasing the dispersion of the intensively sheared melt in the bulk liquid. Compared with batch mode, continuous operation results in lower mass flow rate through the mixer and reduced mixing, although the mixer design has a larger impact on both measures.
Dragonflies of Dragon’s Blood Island: Atlas of the Odonata of the Socotra Archipelago (Yemen)
Authors: Van Damme Kay , Vahalík Petr , Ketelaar Robert , Jeziorski Petr , Bouwman Jaap , Morris Miranda , Suleiman Ahmed Saeed , Dumont Henri J. 
Published: August 2020

AbstractDragonflies are important bioindicators of aquatic ecosystem health. We discuss the distribution and richness of the 22 dragon- and damselfly species known from the Socotra Archipelago UNESCO World Heritage Site (Yemen) in the western Indian Ocean. We compiled 841 records from literature, field data and museum collections, covering a surveying period of 123 years (1896–2019). Distribution of the only endemic, the Socotra BluetAzuragrion granti(McLachlan, 1903), an indicator of pristine lotic waters, is updated. Relatively higher dragonfly species richness occurs in eastern Socotra where suitable aquatic habitats are present all year. We observed a significant drop of the number of taxa over several decades in areas in the Hadiboh Plain where human development impacts are strongest. We discuss the indigenous people’s perception of dragonflies to assess the potential of these invertebrates as local flagships for aquatic biodiversity conservation. Our knowledge of the Socotran Odonata remains incomplete, yet they are now among the best studied animal groups in the archipelago. A new record of an OrientalAnaxindicates that the island’s dragonfly fauna may yet harbour surprises. Our compilation of odonate records is the first for Socotra and serves as a baseline for future monitoring of the archipelago’s vital aquatic habitats. We converted all records into a geodatabase which we uploaded to an online, freely available web mapping server and mobile application to facilitate research and conservation of the Socotran dragonflies (www.dragonfliesofsocotra.com).Graphic abstract
Location of facilities and network design for reverse logistics of lithium-ion batteries in Sweden
Authors: Tadaros M. , Migdalas A. , Samuelsson B. , Segerstedt A. 
Published: August 2020

AbstractEstimations of the amount of lithium-ion batteries reaching their end-of-life in 2025 and the amount being recycled indicates large deviations. To enable an efficient recycling process a well-defined and efficient supply chain network for the recovery of discarded lithium-ion batteries must be put in place. This includes analyzing the needs and restrictions of such a network. The aim of this paper is to provide decision support tools, to analyze input, and optimize a future supply chain for discarded lithium-ion batteries. A mixed integer programming model is developed and applied to the Swedish market. The findings show that several aspects will affect a reverse supply chain for discarded lithium-ion batteries, many of which are still uncertain and hard to predict.