bluuebunny/crossref_metadata_2025_split huggingface dataset:
The triptych of conceptual modeling
Authors: Mayr Heinrich C. , Thalheim Bernhard 
Published: November 2020

AbstractWe understand this paper as a contribution to the “anatomy” of conceptual models. We propose a signature of conceptual models for their characterization, which allows a clear distinction from other types of models. The motivation for this work arose from the observation that conceptual models are widely discussed in science and practice, especially in computer science, but that their potential is far from being exploited. We combine our proposal of a more transparent explanation of the nature of conceptual models with an approach that classifies conceptual models as a link between the dimension of linguistic terms and the encyclopedic dimension of notions. As a paradigm we use the triptych, whose central tableau represents the model dimension. The effectiveness of this explanatory approach is illustrated by a number of examples. We derive a number of open research questions that should be answered to complete the anatomy of conceptual models.
Research on improved wavelet convolutional wavelet neural networks
Authors: Liu Jing-Wei , Zuo Fang-Ling , Guo Ying-Xiao , Li Tian-Yue , Chen Jia-Ming 
Published: November 2020

AbstractConvolutional neural network (CNN) is recognized as state of the art of deep learning algorithm, which has a good ability on the image classification and recognition. The problems of CNN are as follows: the precision, accuracy and efficiency of CNN are expected to be improved to satisfy the requirements of high performance. The main work is as follows: Firstly, wavelet convolutional neural network (wCNN) is proposed, where wavelet transform function is added to the convolutional layers of CNN. Secondly, wavelet convolutional wavelet neural network (wCwNN) is proposed, where fully connected neural network (FCNN) of wCNN and CNN are replaced by wavelet neural network (wNN). Thirdly, image classification experiments using CNN, wCNN and wCwNN algorithms, and comparison analysis are implemented with MNIST dataset. The effect of the improved methods are as follows: (1) Both precision and accuracy are improved. (2) The mean square error and the rate of error are reduced. (3) The complexitie of the improved algorithms is increased.
Posttraumatic Symptoms in 3–7 Year Old Trauma-Exposed Children: Links to Impairment, Other Mental Health Symptoms, Caregiver PTSD, and Caregiver Stress
Authors: Cervin Matti , Salloum Alison , Ruth Leigh J. , Storch Eric A. 
Published: November 2020

AbstractFew studies have examined how PTSD symptoms in young children are associated with other mental health symptoms and mood and functioning in caregivers. This is an important gap in the literature as such knowledge may be important for assessment and treatment. This study used network analysis to identify how the major symptom domains of PTSD in young trauma-exposed children were related to impairment, internalizing and externalizing symptoms, caregiver PTSD, and caregiver stress. Caregivers of 75 trauma-exposed 3–7 year old children reported on their child’s symptoms and impairment and their own PTSD symptoms and caregiver stress. A strong association between the child PTSD domains of intrusions and avoidance emerged, which is in line with theoretical notions of how PTSD onsets and is maintained in adolescents and adults. Externalizing child symptoms were strongly linked to PTSD-related impairment and caregiver stress, highlighting the need to carefully assess and address such symptoms when working with young trauma-exposed children. Internalizing symptoms were uniquely associated with all three of the major childhood PTSD symptom domains with further implications for assessment and treatment.
Activities, Access Control, and Crime: a Quasi-Experimental Study regarding Entry Gates at Train Stations in the Netherlands
Authors: Lindenbergh Viviane M. , Kleemans Edward R. , Ferwerda Joras 
Published: November 2020

AbstractThis article discusses a unique “natural experiment,” the introduction of entry gates at Dutch train stations and the potential effects of this on crime in the areas around these stations. A quasi-experimental study was carried out to show that introducing entry gates correlated with a drop in crime in these areas. After entry gates had been introduced, potential offenders could only enter train stations with a valid ticket, which meant that they would be less likely to enter or leave these stations and more likely to choose other places to hang around in or for entering and leaving trains. A dataset was created in which the crime rates around train stations were registered for each month in the years 2013 through 2018. The changing numbers of travelers at each station were also taken into account, as this variable probably correlates with the amount of crime. A two-way fixed-effects model was run on data for about 260 train stations, with and without entry gates, using the relative crime rate per thousand travelers as the dependent variable. Based on this relative crime rate, the use of entry gates was found to coincide with a decrease of 9% in crime, compared to a situation without entry gates. This study can inform policymakers about the potential effects of entry gates in particular and about situational crime prevention in general. Moreover, it illustrates how implementing measures at various locations at different moments enables the effectiveness of such measures to be tested more precisely and with more confidence.
QSAR, molecular docking, design, and pharmacokinetic analysis of 2-(4-fluorophenyl) imidazol-5-ones as anti-breast cancer drug compounds against MCF-7 cell line
Authors: Lawal Hadiza Abdulrahman , Uzairu Adamu , Uba Sani 
Published: November 2020

AbstractThe anti-proliferative activities of Novel series of 2-(4-fluorophenyl) imidazol-5-ones against MCF-7 breast cancer cell line were explored via in-slico studies which includes Quantitative structure–activity relationship QSAR, molecular docking studies, designing new compounds, and analyzing the pharmacokinetics properties of the designed compounds. From the QSAR analysis, model number one emerged the best as seen from the arithmetic assessments of (R2) = 0.6981, (R2adj) = 0.6433, (Q2) = 0.5460 and (R2pred) of 0.5357. Model number one was used in designing new derivative compounds, with higher effectiveness against estrogen positive breast cancer (MCF-7 cell line). The Molecular docking studies between the derivatives and Polo-like kinases (Plk1) receptor proved that the derivatives of 2-(4-fluorophenyl) imidazol-5-ones bind tightly to the receptor, thou ligand 24 and 27 had the highest binding affinities of −8.8 and − 9.1 kcal/mol, which was found to be higher than Doxorubicin with a docking score of −8.0 kcal/mol. These new derivatives of 2-(4-fluorophenyl) imidazol-5-ones shall be excellent inhibitors against (plk1). The pharmacokinetics analysis performed on the new structures revealed that all the structures passed the test and also the Lipinski rule of five, and they could further proceed to pre-clinical tests. They both revealed a revolution in medicine for developing novel anti-breast cancer drugs against MCF-7 cell line.
A user-centered approach for detecting emotions with low-cost sensors
Authors: Francese Rita , Risi Michele , Tortora Genoveffa 
Published: November 2020

AbstractDetecting emotions is very useful in many fields, from health-care to human-computer interaction. In this paper, we propose an iterative user-centered methodology for supporting the development of an emotion detection system based on low-cost sensors. Artificial Intelligence techniques have been adopted for emotion classification. Different kind of Machine Learning classifiers have been experimentally trained on the users’ biometrics data, such as hearth rate, movement and audio. The system has been developed in two iterations and, at the end of each of them, the performance of classifiers (MLP, CNN, LSTM, Bidirectional-LSTM and Decision Tree) has been compared. After the experiment, the SAM questionnaire is proposed to evaluate the user’s affective state when using the system. In the first experiment we gathered data from 47 participants, in the second one an improved version of the system has been trained and validated by 107 people. The emotional analysis conducted at the end of each iteration suggests that reducing the device invasiveness may affect the user perceptions and also improve the classification performance.
Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines
Authors: Lyutov Alexey , Uygun Yilmaz , Hütt Marc-Thorsten 
Published: November 2020

AbstractExploring the production of knowledge with quantitative methods is the foundation of scientometrics. In an application of machine learning to scientometrics, we here consider the classification problem of the mapping of academic publications to the subcategories of a multidisciplinary journal—and hence to scientific disciplines—based on the information contained in the abstract. In contrast to standard classification tasks, we are not interested in maximizing the accuracy, but rather we ask, whether the failures of an automatic classification are systematic and contain information about the system under investigation. These failures can be represented as a ’misclassification network’ inter-relating scientific disciplines. Here we show that this misclassification network (1) gives a markedly different pattern of interdependencies among scientific disciplines than common ’maps of science’, (2) reveals a statistical association between misclassification and citation frequencies, and (3) allows disciplines to be classified as ’method lenders’ and ’content explorers’, based on their in-degree out-degree asymmetry. On a more general level, in a wide range of machine learning applications misclassification networks have the potential of extracting systemic information from the failed classifications, thus allowing to visualize and quantitatively assess those aspects of a complex system, which are not machine learnable.
Decision-Based Epistemology: sketching a systematic framework of Feyerabend’s metaphilosophy
Authors: Kuby Daniel 
Published: November 2020

AbstractIn this paper I defend the claim that Paul Feyerabend held a robust metaphilosophical position for most of his philosophical career. This position I call Decision-Based Epistemology and reconstruct it in terms of three key components: (1) a form of epistemic voluntarism concerning the justification of philosophical positions and (2) a behaviorist account of philosophical beliefs, which allows him (3) to cast normative arguments concerning philosophical beliefs in scientific methodology, such as realism, in terms of means-ends relations. I then introduce non-naturalist and naturalist variants of his conception of normativity, which I trace back to his mentors Viktor Kraft and Karl Popper, respectively. This distinction, introduced on the metaphilosophical level, can can be put to use to explain key changes in Feyerabend’s philosophical proposals, such as the viability of his methodological argument for realism. I conclude that this Decision-Based Epistemology should be further explored by historically embedding Feyerabend’s metaphilosophy in a voluntarist tradition of scientific philosophy.
The unbearable circularity of easy ontology
Authors: Raab Jonas 
Published: November 2020

AbstractIn this paper, I argue that Amie Thomasson’sEasy Ontologyrests on a vicious circularity that is highly damaging. Easy Ontology invokes the idea ofapplication conditionsthat give rise toanalytic entailments. Such entailments can be used to answer ontological questions easily. I argue that the application conditions for basic terms are only circularly specifiable showing that Thomasson misses her self-set goal of preventing such a circularity. Using this circularity, I go on to show that Easy Ontology as a whole collapses.
The Complexity of Porous Media Flow Characterized in a Microfluidic Model Based on Confocal Laser Scanning Microscopy and Micro-PIV
Authors: de Winter D. A. M. , Weishaupt K. , Scheller S. , Frey S. , Raoof A. , Hassanizadeh S. M. , Helmig R. 
Published: November 2020

Abstract
In this study, the complexity of a steady-state flow through porous media is revealed using confocal laser scanning microscopy (CLSM). Micro-particle image velocimetry (micro-PIV) is applied to construct movies of colloidal particles. The calculated velocity vector fields from images are further utilized to obtain laminar flow streamlines. Fluid flow through a single straight channel is used to confirm that quantitative CLSM measurements can be conducted. Next, the coupling between the flow in a channel and the movement within an intersecting dead-end region is studied. Quantitative CLSM measurements confirm the numerically determined coupling parameter from earlier work of the authors. The fluid flow complexity is demonstrated using a porous medium consisting of a regular grid of pores in contact with a flowing fluid channel. The porous media structure was further used as the simulation domain for numerical modeling. Both the simulation, based on solving Stokes equations, and the experimental data show presence of non-trivial streamline trajectories across the pore structures. In view of the results, we argue that the hydrodynamic mixing is a combination of non-trivial streamline routing and Brownian motion by pore-scale diffusion. The results provide insight into challenges in upscaling hydrodynamic dispersion from pore scale to representative elementary volume (REV) scale. Furthermore, the successful quantitative validation of CLSM-based data from a microfluidic model fed by an electrical syringe pump provided a valuable benchmark for qualitative validation of computer simulation results.

Graphic Abstract
Performance of free gases during the recovery enhancement of shale gas by CO2 injection: a case study on the depleted Wufeng–Longmaxi shale in northeastern Sichuan Basin, China
Authors: Liu Jun , Xie Ling-Zhi , He Bo , Zhao Peng , Ding Huai-Yu 
Published: November 2020

AbstractIn this work, a novel thermal–hydraulic–mechanical (THM) coupling model is developed, where the real geological parameters of the reservoir properties are embedded. Accordingly, nine schemes of CO2 injection well (IW) and CH4 production well (PW) are established, aiming to explore the behavior of free gases after CO2 is injected into the depleted Wufeng–Longmaxi shale. The results indicate the free CH4 or CO2 content in the shale fractures/matrix is invariably heterogeneous. The CO2 involvement facilitates the ratio of free CH4/CO2 in the matrix to that in the fractures declines and tends to be stable with time. Different combinations of IW–PWs induce a difference in the ratio of the free CH4 to the free CO2, in the ratio of the free CH4/CO2 in the matrix to that in the fractures, in the content of the recovered free CH4, and in the content of the trapped free CO2. Basically, when the IW locates at the bottom Wufeng–Longmaxi shale, a farther IW–PWs distance allows more CO2 in the free phase to be trapped; furthermore, no matter where the IW is, a shorter IW–PWs distance benefits by getting more CH4 in the free phase recovered from the depleted Wufeng–Longmaxi shale. Hopefully, this work is helpful in gaining knowledge about the shale-based CO2 injection technique.
Mathematische Modellierungskompetenz fördern durch Lösungsplan oder Dynamische Geometrie-Software? Empirische Ergebnisse aus dem LIMo-Projekt
Authors: Hankeln Corinna , Greefrath Gilbert 
Published: November 2020

ZusammenfassungMathematisches Modellieren ist inzwischen ein fester Bestandteil des deutschen Mathematik-Unterrichts. Es existieren unterschiedliche Ansätze, wie der Aufbau dieser Kompetenz unterstützt werden kann. Der vorliegende Artikel stellt die Ergebnisse einer quantitativen Studie vor, bei der die Auswirkungen des Einsatzes zweier unterschiedlicher Hilfsmittel, zum einen eines strategischen Instruments, dem sogenannten Lösungsplan, und zum anderen einer dynamischen Geometrie-Software, auf den Aufbau von Modellierungskompetenz untersucht wurden. Dazu werden zunächst die theoretisch angenommene Existenz unterschiedlicher Teilkompetenzen, bestehend aus Vereinfachen, Mathematisieren, Interpretieren und Validieren, auch empirisch mit Hilfe eines Rasch-Modells nachgewiesen und anschließend eine Intervention in 44 nordrhein-westfälischen Klassen ausgewertet, bei der die Lernenden entweder mit einem der beiden Hilfsmittel oder mit herkömmlichen Mitteln an Modellierungsaufgaben arbeiteten. Es zeigen sich nur geringe Unterschiede zwischen den Gruppen, allerdings scheinen sich die eingesetzten Hilfsmittel unterschiedlich effektiv für verschiedene Teilkompetenzen zu erweisen. Mögliche Ursachen sowie methodische Einschränkungen werden diskutiert.
Relationships between cocoa mass percentage, surface color, free phenolic compounds content and antioxidant capacity of commercially available dark chocolate bars
Authors: Mikołajczak Natalia , Tańska Małgorzata 
Published: November 2020

AbstractThe aim of the study was to assess the relationships between cocoa mass percentage declared by producer and color, free phenolic compounds content and antioxidant capacity of chocolate bars. The research materials were commercially available 2 dessert (with 30 and 50% of cocoa mass) and 10 bitter chocolate bars (with 40–90% of cocoa mass). The scope of analysis included determining chocolate bars surface color using digital image analysis, content of free phenolic compounds (total, flavonoids and proanthocyanidins) using spectrophotometric methods and antioxidant capacity using the Cuprac method.Based on the results, it was generally found that bitter chocolate bars were characterized by a darker color and a higher content of free phenolic compounds (252.38–703.13 mg/100 g), including flavonoids (29.01–89.55 mg/100 g) and proanthocyanidins (52.23–224.47 mg/100 g), compared to dessert chocolate bars (241.70, 38.58 and 58.99 mg/100 g on average, respectively). The study showed that the cocoa mass content in the chocolate bars was strongly positively correlated with the phenolic compounds content (in particular flavonoids) and the antioxidant capacity. On the other hand, these properties of the chocolate bars were less dependent on the surface color.
Optimizing productivity in oil rims: simulation studies on horizontal well placement under simultaneous oil and gas production
Authors: Olabode Oluwasanmi , Isehunwa Sunday , Orodu Oyinkepreye , Ake Daniel 
Published: November 2020

AbstractThin oil rim reservoirs are predominantly those with pay thickness of less than 100 ft. Oil production challenges arise due to the nature of the gas cap and aquifer in such reservoirs and well placement with respect to the fluid contacts. Case studies of oil rim reservoir and operational properties from the Niger-Delta region are used to build classic synthetic oil rim models with different reservoir parameters using a design of experiment. The black oil simulation model of the ECLIPSE software is activated with additional reservoir properties and subsequently initialized to estimate initial oil and gas in place. To optimize hydrocarbon production, 2 horizontal wells are initiated, each to concurrently produce oil and gas. Well placements of (0.5 ft., 0.25 ft. and 0.75 ft.) are made with respect to the pay thickness and then to the fluid contacts. The results show that for oil rim with bigger aquifers, an oil recovery of 8.3% is expected when horizontal wells are placed at 0.75 ft. of the pay thickness away from the gas oil contact, 8.1% oil recovery in oil rims with larger gas caps with completions at 0.75 ft. of the pay zone from the gas oil contacts, 6% oil recovery with relatively small gas caps and aquifer and 9.3% from oil rims with large gas caps and aquifers, with completions at mid-stream of the pay zone.
Energy-efficient design, consumer awareness, and public policy
Authors: Arguedas Carmen , Rousseau Sandra 
Published: November 2020

AbstractTo facilitate the energy transition, regulators can choose between several policy options to stimulate energy-efficient design by firms. One possibility is to target firms directly through standards or subsidies. Alternatively, it is possible to influence firms indirectly by targeting firms’ stakeholders and raising consumer awareness through information campaigns and education. In this paper, we focus specifically on the pivotal role of consumers and we investigate the effectiveness of subsidies, product standards, and education in improving firms’ environmental performance through energy-efficient product design. In particular, we investigate the importance of the interaction effect between the regulation and consumers’ environmental awareness under different market structures. We find that a policy based on a product standard can counteract the negative effects of crowding-out consumers’ intrinsic motivation in a monopoly setting, although this counteracting effect is less powerful under a duopoly. However, a subsidy does not provide such a backup system and the full effect of crowding-out will be visible.
Vulnerable learners in the age of COVID-19: A scoping review
Authors: Drane Catherine F. , Vernon Lynette , O’Shea Sarah 
Published: November 2020

AbstractThis scoping review provides an overview of COVID-19 approaches to managing unanticipated school closures and available literature related to young people learning outside-of-school. A range of material has been drawn upon to highlight educational issues of this learning context, including psychosocial and emotional repercussions. Globally, while some countries opted for a mass school shut-down, many schools remained open for students from disadvantaged backgrounds. This partial closure not only enabled learning in smaller targeted groups but also offered a safe sanctuary for those who needed a regulated and secure environment. In Australia, if full school closures were to be enforced over a long period, a significant proportion of students from more vulnerable backgrounds would likely experience persistent disadvantage through a range of barriers: long-term educational disengagement, digital exclusion, poor technology management, and increased psychosocial challenges. This scoping review combines research on technology availability and learning, with analysis of the long-term educational impacts of navigating the COVID-19 disruption.
‘I’m trying to tell you this man is dangerous… and no one’s listening’: family violence, parent–school engagement and school complicity
Authors: Saltmarsh Sue , Tualaulelei Eseta , Ayre Kay 
Published: November 2020

AbstractThis paper presents a case study of one mother’s experience of engaging with her children’s schools after leaving a long-term relationship characterised by years of family violence perpetrated by the children’s father. We interviewed Bernadette as part of an ongoing study of parents’ experiences of school engagement during family separation and divorce. Her family circumstances and the role the children’s schools played in that story merit consideration by educators, school leaders and education policy makers. Informed by theories of everyday cultural practices and sociological studies of gendered power relations in education, we argue that gender politics and organisational strategies for keeping parents ‘in their place’ can significantly contribute to systemic failures and school cultures that reinscribe the effects of family violence.