bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of coherent, integrated, and context-dependent adaptable user interfaces on operators’ situation awareness, performance, and workload
Authors: van Doorn Ellemieke , Horváth Imre , Rusák Zoltán 
Published: July 2020

AbstractNautical traffic management in The Netherlands is shifting from local traffic control to corridor traffic management. Current traffic management systems do not sufficiently support operators in perceptual and cognitive process to interpret and understand the large amounts of information needed for corridor traffic management. Newly developed user interface concepts aim to overcome deficiencies of current interface designs that insufficiently support situation awareness assessment. The effects of these new user interfaces, however, are insufficiently known due to the intricate relations between situation awareness, task performance, and workload. The objective of this study is to evaluate the effects of the three previously developed user interface concepts on operators’ situation awareness, task performance, and workload to gain better insights into the benefits and limitations of the user interface design concepts. The effects were tested in a simulator environment. The results show that user interface features of an integrated user interface allowed operators to apply more effective information processing, which resulted in better task performance. Features of a context-dependent adaptable user interface triggered proactive behavior of operators, which resulted in better task performance for tasks in which operators require insight into future activities of the elements in the environment.
A sparse FFT approach for ODE with random coefficients
Authors: Bochmann Maximilian , Kämmerer Lutz , Potts Daniel 
Published: July 2020

AbstractThe paper presents a general strategy to solve ordinary differential equations (ODE), where some coefficient depend on the spatial variable and on additional random variables. The approach is based on the application of a recently developed dimension-incremental sparse fast Fourier transform. Since such algorithms require periodic signals, we discuss periodization strategies and associated necessary deperiodization modifications within the occurring solution steps. The computed approximate solutions of the ODE depend on the spatial variable and on the random variables as well. Certainly, one of the crucial challenges of the high-dimensional approximation process is to rate the influence of each variable on the solution as well as the determination of the relations and couplings within the set of variables. The suggested approach meets these challenges in a full automatic manner with reasonable computational costs, i.e., in contrast to already existing approaches, one does not need to seriously restrict the used set of ansatz functions in advance.
Restorative Justice Policy in Context: A Legal-Archaeological Analysis
Authors: Maglione Giuseppe 
Published: July 2020

AbstractThis paper provides an original, in-depth analysis of English and Welsh criminal and penal policy on restorative justice. By using a historically-discursive approach—legal archaeology—this study firstly outlines the overarching representations of restorative justice within policy, unpacking their internal organisation. Then, it interprets such patterns of knowledge in light of specific cultural, political and professional transformations involving the Anglo-Welsh criminal justice field over the last 30 years. Along these lines, it generates a historically documented policy map whilst problematising the taken-for-granted images of restorative justice which populate regulations, codes and laws. This has implications for the study of the relationships between restorative justice policy and practice and for future research on the institutionalisation of this ‘new’ frontier of penality. More generally, the exploration of (unexpected) links between policy, politics and culture, provides material for a critical assessment of how state agencies appropriate community-based and practice-led forms of justice.
Examining the effectiveness of brief interventions to strengthen a positive implicit relation between women and STEM across two timepoints
Authors: Farrell Lynn , Nearchou Finiki , McHugh Louise 
Published: July 2020

AbstractThe current study assessed the impact of three brief interventions aimed at influencing implicit gender bias in Science, Technology, Engineering and Math (STEM) fields. The reduction of this bias is a key consideration as it remains a major barrier to gender equality in STEM. The interventions (psychoeducation, exposure to positive counter-stereotypical exemplars and perspective-taking) were compared to a control group at two timepoints. Gender-STEM bias was assessed at the implicit level (via the Implicit Relational Assessment Procedure; IRAP) and the explicit level (via rating scales). Two hundred and ten adults (58.1% women) completed one of the four study conditions. Results indicated that implicit gender-STEM bias is malleable, at least in the short term. At Time 1, intervention groups showed higher levels of implicit pro-Women-STEM bias and lower levels of pro-Men-STEM bias than the Control group. Psychoeducation appeared most effective, followed by exposure to positive counter-stereotypical exemplars. Results from Time 2 presented a more complex picture of implicit bias change, as the control group exhibited an increased pro-Women-STEM bias that was unexpected. The implications of these findings are discussed in relation to refining the interventions, the malleability of gender-STEM bias and the measurement of implicit bias across contexts.
Thermo-Optical Property Degradation of ITO-Coated Aluminized Polyimide Thin Films Under VUV and Low-Energy Proton Radiation
Authors: Dembska Marta , Renger Thomas , Sznajder Maciej 
Published: July 2020

Abstract
We studied thermo-optical property degradation of indium tin oxide (ITO)-coated aluminized polyimide thin films under exposure to vacuum ultraviolet radiation and low-energy (3 and 5 keV) protons during ground tests using the Complex Irradiation Facility at the DLR site in Bremen. Changes in solar absorption and thermal emission coefficients caused by the irradiation were analyzed. We report a significant increase in solar absorptance of the samples irradiated by protons. We also attempted to identify any defects on the surface of the samples. The study was motivated by a unique opportunity that is provided by the Complex Irradiation Facility to study the degradation effects induced by exposure to protons with an energy below 10 keV and short-wavelength light below 115 nm.
Machine Learning Against Terrorism: How Big Data Collection and Analysis Influences the Privacy-Security Dilemma
Authors: Verhelst H. M. , Stannat A. W. , Mecacci G. 
Published: July 2020

AbstractRapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass surveillance techniques that use bulk data collection and machine learning algorithms, we show why these methods are unlikely to pinpoint terrorists in order to prevent attacks. The diverse characteristics of terrorist attacks—especially when considering lone-wolf terrorism—lead to irregular and isolated (digital) footprints. The irregularity of data affects the accuracy of machine learning algorithms and the mass surveillance that depends on them which can be explained by three kinds of known problems encountered in machine learning theory: class imbalance, the curse of dimensionality, and spurious correlations. Proponents of mass surveillance often invoke the distinction between collecting data and metadata, in which the latter is understood as a lesser breach of privacy. Their arguments commonly overlook the ambiguity in the definitions of data and metadata and ignore the ability of machine learning techniques to infer the former from the latter. Given the sparsity of datasets used for machine learning in counterterrorism and the privacy risks attendant with bulk data collection, policymakers and other relevant stakeholders should critically re-evaluate the likelihood of success of the algorithms and the collection of data on which they depend.
Present-Day Mass Tourism: its Imaginaries and Nightmare Scenarios
Authors: Kroes Rob 
Published: July 2020

AbstractPresent-day mass tourism uncannily resembles an auto-immune disease. Yet, self-destructive as it may be, it is also self-regenerating, changing its appearance and purpose. They are two modes that stand in contrast to each other. We can see them as opposites that delimit a conceptual dimension ordering varieties of present-day mass tourism. The first pole calls forth tourism as a force leaving ruin and destruction in its wake or at best a sense of nostalgia for what has been lost, the other sees tourism as a force endlessly resuscitating and re-inventing itself. This paper article highlights both sides of the story. These times of the Covid-19 pandemic, with large swathes of public life emptied by social lock-down, remind us of a second, cross-cutting conceptual dimension, ranging from public space brimming with human life to its post-apocalyptic opposite eerily empty and silent. The final part of my argument will touch on imagined evocations of precisely such dystopian landscapes.
Social Distancing, Safe Spaces and the Demand for Quarantine
Authors: Furedi Frank 
Published: July 2020

AbstractSocial distance has been a topic of interest in sociology for more than a century before the outbreak of the COVID-19 pandemic. Whereas in the past it referred to the distance between groups in more recent times it signifies the space between individuals. The aspiration for safe space and personal boundaries in recent years indicated that social distancing has acquired an increasingly individuated and privatised form. This article suggests that the demand for safe space can be interpreted as a demand for a quarantine from psychic threats. This pre-existing demand for a quarantine from criticism and pressure has seamlessly meshed with the imperative of social distancing in the COVID-19 era.
Microtubules and Vimentin Fiber Stability during Parabolic Flights
Authors: Wuest Simon L. , Arnold Jaro , Gander Sarah , Zumbühl Christoph , Jost Christian , Giger-Lange Christina , Cerretti Geraldine , Caliò Martina , Rattenbacher-Kiser Karin , Follonier Cindy , Schälli Othmar , Székely Gerhard S. , Egli Marcel , Ille Fabian 
Published: July 2020

AbstractAdequate mechanical stimulation is essential for cellular health and tissue maintenance, including articular cartilage, which lines the articulating bones in joints. Chondrocytes, which are the sole cells found in articular cartilage, are responsible for matrix synthesis, maintenance and degradation. It is generally believed that chondrocytes require mechanical stimuli through daily physical activity for adequate cartilage homeostasis. However, to date, the molecular mechanisms of cellular force sensing (mechanotransduction) are not fully understood. Among other mechanisms, the cytoskeleton is thought to play a key role. Despite that gravity is a very small force at the cellular level, cytoskeletal adaptations have been observed under altered gravity conditions of a parabolic flight in multiple cell types. In this study, we developed a novel hardware which allowed to chemically fix primary bovine chondrocytes at 7 time points over the course of a 31-parabola flight. The samples were subsequently stained for the microtubules and vimentin network and microscopic images were acquired. The images showed a large heterogeneity among the cells in morphology as well as in the structure of both networks. In all, no changes or adaptions in cytoskeleton structure could be detected over the course of the parabolic flight.
The molecular mechanisms associated with the physiological responses to inflammation and oxidative stress in cardiovascular diseases
Authors: Zhazykbayeva Saltanat , Pabel Steffen , Mügge Andreas , Sossalla Samuel , Hamdani Nazha 
Published: July 2020

AbstractThe complex physiological signal transduction networks that respond to the dual challenges of inflammatory and oxidative stress are major factors that promote the development of cardiovascular pathologies. These signaling networks contribute to the development of age-related diseases, suggesting crosstalk between the development of aging and cardiovascular disease. Inhibition and/or attenuation of these signaling networks also delays the onset of disease. Therefore, a concept of targeting the signaling networks that are involved in inflammation and oxidative stress may represent a novel treatment paradigm for many types of heart disease. In this review, we discuss the molecular mechanisms associated with the physiological responses to inflammation and oxidative stress especially in heart failure with preserved ejection fraction and emphasize the nature of the crosstalk of these signaling processes as well as possible therapeutic implications for cardiovascular medicine.
Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites
Authors: Köster Antonia , Matt Christian , Hess Thomas 
Published: July 2020

AbstractContent website providers have two main goals: They seek to attract consumers and to keep them on their websites as long as possible. To reach potential consumers, they can utilize several online channels, such as paid search results or advertisements on social media, all of which usually require a substantial marketing budget. However, with rising user numbers of online communication tools, website providers increasingly integrate social sharing buttons on their websites to encourage existing consumers to facilitate referrals to their social networks. While little is known about this social form of guiding consumers to a content website, the study proposes that the way in which consumers reach a website is related to their stickiness to the website and their propensity to refer content to others. By using a unique clickstream data set of a video-on-demand website, the study compares consumers referred by their social network to those consumers arriving at the website via organic search or social media advertisements in terms of stickiness to the website (e.g., visit length, number of page views, video starts) and referral likelihood. The results show that consumers referred through social referrals spend more time on the website, view more pages, and start more videos than consumers who respond to social media advertisements, but less than those coming through organic search. Concerning referral propensity, the results indicate that consumers attracted to a website through social referrals are more likely to refer content to others than those who came through organic search or social media advertisements. The study offers direct insights to managers and recommends an increase in their efforts to promote social referrals on their websites.
The Effects of Education on Mortality: Evidence From Linked U.S. Census and Administrative Mortality Data
Authors: Halpern-Manners Andrew , Helgertz Jonas , Warren John Robert , Roberts Evan 
Published: July 2020

AbstractDoes education change people’s lives in a way that delays mortality? Or is education primarily a proxy for unobserved endowments that promote longevity? Most scholars conclude that the former is true, but recent evidence based on Danish twin data calls this conclusion into question. Unfortunately, these potentially field-changing findings—that obtaining additional schooling has no independent effect on survival net of other hard-to-observe characteristics—have not yet been subject to replication outside Scandinavia. In this article, we produce the first U.S.-based estimates of the effects of education on mortality using a representative panel of male twin pairs drawn from linked complete-count census and death records. For comparison purposes, and to shed additional light on the roles that neighborhood, family, and genetic factors play in confounding associations between education and mortality, we also produce parallel estimates of the education-mortality relationship using data on (1) unrelated males who lived in different neighborhoods during childhood, (2) unrelated males who shared the same neighborhood growing up, and (3) non-twin siblings who shared the same family environment but whose genetic endowments vary to a greater degree. We find robust associations between education and mortality across all four samples, although estimates are modestly attenuated among twins and non-twin siblings. These findings—coupled with several robustness checks and sensitivity analyses—support a causal interpretation of the association between education and mortality for cohorts of boys born in the United States in the first part of the twentieth century.
Synthesis of Fe3O4/ZnO nanoparticles and their application for the photodegradation of anionic and cationic dyes
Authors: Długosz O. , Szostak K. , Krupiński M. , Banach M. 
Published: July 2020

AbstractMultifunctional materials have become an important research subject in recent years. Zinc oxide nanoparticles (ZnO NP) deposited on iron oxide (Fe3O4) allow to obtain material with photocatalytic and magnetic properties. The mass share of Fe3O4in the composite was 30%. Saturation magnetization for this sample was about 9.5 emu/g. The use of magnetic material allows to recover the photocatalyst after the photodegradation process and reuse it. The possibility of recovery of Fe3O4nanoparticles with a magnet was estimated at 94.80%, while the recovery of Fe3O4/ZnO achieved 83.91%. The effects of the type of dyes (Methylene Blue, Methyl Orange, Quinoline Yellow, Eriochromic Black T and Trypanic Blue) on their photodegradation efficiency in terms of molar mass of the dye, the solvent in which the processes were carried out and the type of dye charge were investigated. The photocatalytic material showed higher photodegradation activity of dyes while increasing their molar mass. ZnO NPs deposited on Fe3O4 presented 95.61% photocatalytic efficiency against Trypan Blue and 63.02% against Methylene Blue. Increasing the surface area of the catalyst to 39 m2/g and the presence of micro-, meso- and macropores had a positive effect on the sorption process of dyes, especially those of larger sizes, allowing their degradation in the photodegradation process.
Participatory governance in Lake Victoria (Kenya) fisheries: whose voices are heard?
Authors: Etiegni Christine Adhiambo , Irvine Kenneth , Kooy Michelle 
Published: July 2020

AbstractCo-management is advocated as a means to improve human equity and the ecological sustainability of common-pool resources. The promotion of co-management of fisheries often assumes the participation of resource users in decision-making ensures more ecologically sustainable outcomes than top–down management approaches while improving livelihoods and food security. However, in fisheries co-management approaches, participation is often poorly defined and measured by co-management proponents. For resource users, it may not be clear what their participation in co-management entails, and what such participation might involve or achieve. For the fisheries of Lake Victoria (Kenya), the introduction of co-management established Beach Management Units (BMUs) on a model of participatory decision-making. Unsurprisingly, given global experiences of institutions for resource users’ participation in co-management, the structures established across Lake Victoria (Kenya) have not resulted in effective participation of fisher folk. We examine why this is so. Specifically, we examine the influence of institutions on fisher folks’ participation in co-management, using critical institutionalism to explain how participation of resource users is shaped by the relation between formal government institutions and informal social norms. We take four BMUs as case studies to investigate how historical administrative structures shape the development of co-management, how power relationships within co-management are negotiated at the local beach level and the fisher folks’ understanding of their participation in co-management. We document how informal institutions undermine and replace formal institutions at the local beach level, while formal institutions suppress and ignore informal ones at the national and regional levels. From this, we argue power sharing between the government and fisher folk is key for fisher folk participation in fisheries co-management, capable of addressing both social and ecological challenges facing fisheries management.
Neanderthals as familiar strangers and the human spark: How the ‘golden years’ of Neanderthal research reopen the question of human uniqueness
Authors: Peeters Susan , Zwart Hub 
Published: July 2020

AbstractDuring the past decades, our image ofHomo neanderthalensishas changed dramatically. Initially, Neanderthals were seen as primitive brutes. Increasingly, however, Neanderthals are regarded as basically human. New discoveries and technologies have led to an avalanche of data, and as a result of that it becomes increasingly difficult to pinpoint what the difference between modern humans and Neanderthals really is. And yet, the persistent quest for a minimal difference which separates them from us is still noticeable in Neanderthal research. Neanderthal discourse is a vantage point from which the logic of ‘us’ versus ‘other’ is critically reconsidered. Studying contemporary academic literature and science autobiographies from an oblique perspective, focusing not on Neanderthals as objects, but on the dynamics of interaction between Neanderthal researchers and their finds, basic convictions at work in this type of research are retrieved. What is at issue is not the actual distinction between modern humans and Neanderthals (which is continuously being redefined), but rather the dualistic construction of human and nonhuman. Neanderthal understanding is affected by the desire to safeguard human uniqueness. The overall trend is to identify the human mark or spark, which defines us as favoured ‘winners’. The paradoxes emerging in contemporary Neanderthal discourse are symptomatic of the fact that a dualistic style of thinking is no longer tenable.