bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating Between the Plots: A Narratological and Ethical Analysis of Business-Related Conspiracy Theories (BrCTs)
Authors: Alemany Oliver Mathieu 
Published: September 2020

AbstractThis paper introduces the concept of business-related conspiracy theories (BrCTs). Drawing on Aristotelian virtue ethics and undertaking a narratological and ethical analysis of 28 BrCTs found online, I emphasize that BrCTs are narratives with structures rooted in other latent macro- and meta-narratives, including centuries-old myths. In particular, I reconstruct the fictional world (diegesis) of BrCTs – one in which CSR and social contracts have failed – before identifying eight different types of actors as which people can morally situate themselves in their relationships with business. Finally, I elaborate on the actors’ performances and their use of external and legitimate forces to end the story. The paper concludes with a discussion of potential future research to help combat BrCTs, as well as a call for the critical study of political CSR.
How cognitive links and decision-making capacity shape sectoral experts’ recognition of climate knowledge for adaptation
Authors: Skelton Maurice 
Published: September 2020

AbstractScientific climate knowledge is often argued to be a key ingredient in climate adaptation. Focusing on individual sectors and institutions, researchers have given insights as to how climate knowledge is reframed according to institutional cultures and priorities. This study extends such scholarship by comparing how four sectors—greenspace management, building technology, spatial planning, and health—perceive, judge, transfer, and appropriate knowledge on urban heatwaves, and what adaptation options are proposed. Based on semi-structured interviews, documentary materials and observations of two workshops collected in two Swiss cities, I draw on Eviatar Zerubavel and his ‘cultural cognitive sociology’ whose work emphasises how collectively shared patterns of recognition and thinking guide and facilitate human judgement. I find two factors to influence knowledge appropriation. On the one hand, the formative dimension of knowledge underscores that experts understand climate knowledge similarly when a sector shares key concepts with climate science. If such ‘cognitive links’ are missing, the answers on how heatwaves impact experts’ work are more varied. On the other hand, the performative dimension of knowledge highlights that experts’ eagerness to adapt is influenced by diverging technical, legal, and social possibilities. When experts’ decision scope is large, then uptake of climate knowledge is more fluid. With a more explicit understanding of why sectors differ in their appropriation and integration of climate knowledge into their work, this study is a reminder that only fitting knowledge is of value to sectoral experts.
The significance of bug report elements
Authors: Soltani Mozhan , Hermans Felienne , Bäck Thomas 
Published: September 2020

AbstractOpen source software projects often use issue repositories, where project contributors submit bug reports. Using these repositories, more bugs in software projects may be identified and fixed. However, the content and therefore quality of bug reports vary. In this study, we aim to understand the significance of different elements in bug reports. We interviewed 35 developers to gain insights into their perceptions on the importance of various contents in bug reports. To assess our findings, we surveyed 305 developers. The results show developers find it highly important that bug reports include crash description, reproducing steps or test cases, and stack traces. Software version, fix suggestions, code snippets, and attached contents have lower importance for software debugging. Furthermore, to evaluate the quality of currently available bug reports, we mined issue repositories of 250 most popular projects on Github. Statistical analysis on the mined issues shows that crash reproducing steps, stack traces, fix suggestions, and user contents, have statistically significant impact on bug resolution times, for ∼70%, ∼76%, ∼55%, and ∼33% of the projects. However, on avarage, over 70% of bug reports lack these elements.
On the influence of individual differences in cross-modal Mulsemedia QoE
Authors: Kani-Zabihi Elahe , Hussain Nadia , Mesfin Gebremariam , Covaci Alexandra , Ghinea Gheorghita 
Published: September 2020

AbstractQuality of Experience (QoE) is inextricably linked to the human side of the multimedia experience. Whilst there has been a considerable amount of research undertaken to explore the various dimensions of QoE, one facet which been relatively unexplored is the role of individual differences in determining an individual’s QoE. Whereas this is certainly true of multimedia applications, when it comes to mulsemedia (multiple media engaging three or more human senses) this is even more so, given its emerging and novel nature. Accordingly, in this paper we report the results of a study which investigated the role that individual differences (such as age, gender, education, and smell sensitivity) have on QoE, when mulsemedia incorporating olfactory and haptic stimuli is experienced in cross-modal environments. Our results reveal that whilst users had a satisfying overall mulsemedia experience the specific use of cross modally matched odours did not result in significantly higher QoE levels than when a control scent (rosemary) was employed. However, aspects of QoE are impacted upon by all individual differences dimensions considered in our study.
Assessment of handheld mobile terrestrial laser scanning for estimating tree parameters
Authors: Stal Cornelis , Verbeurgt Jeffrey , De Sloover Lars , De Wulf Alain 
Published: September 2020

AbstractSustainable forest management heavily relies on the accurate estimation of tree parameters. Among others, the diameter at breast height (DBH) is important for extracting the volume and mass of an individual tree. For systematically estimating the volume of entire plots, airborne laser scanning (ALS) data are used. The estimation model is frequently calibrated using manual DBH measurements or static terrestrial laser scans (STLS) of sample plots. Although reliable, this method is time-consuming, which greatly hampers its use. Here, a handheld mobile terrestrial laser scanning (HMTLS) was demonstrated to be a useful alternative technique to precisely and efficiently calculate DBH. Different data acquisition techniques were applied at a sample plot, then the resulting parameters were comparatively analysed. The calculated DBH values were comparable to the manual measurements for HMTLS, STLS, and ALS data sets. Given the comparability of the extracted parameters, with a reduced point density of HTMLS compared to STLS data, and the reasonable increase of performance, with a reduction of acquisition time with a factor of 5 compared to conventional STLS techniques and a factor of 3 compared to manual measurements, HMTLS is considered a useful alternative technique.
Thermodynamic modeling and correlations of CH4, C2H6, CO2, H2S, and N2 hydrates with cage occupancies
Authors: Khan Shadman H. , Kumari Anupama , Dixit G. , Majumder Chandrajit B. , Arora Amit 
Published: September 2020

AbstractThe present work focuses on developing a framework for accurate prediction of thermodynamic conditions for single-component hydrates, namely CH4, CO2, N2, H2S, and C2H6 (coded in MATLAB). For this purpose, an exhaustive approach is adopted by incorporating eight different equations of states, namely Peng–Robinson, van der Waals, Soave–Redlich–Kwong, Virial, Redlich–Kwong, Tsai-Teja, Patel, and Esmaeilzadeh–Roshanfekr, with the well-known van der Waals–Platteeuw model. Overall, for I–H–V phase region, the Virial and van der Waals equation of state gives the most accurate predictions with minimum AAD%. For Lw–H–V phase region, Peng–Robinson equation of state is found to yield the most accurate predictions with overall AAD of 3.36%. Also, genetic programming algorithm is adopted to develop a generalized correlation. Overall, the correlation yields quick estimation with an average deviation of less than 1%. The accurate estimation yields a minimal AAD of 0.32% for CH4, 1.93% for C2H6, 0.77% for CO2, 0.64% for H2S, and 0.72% for N2. The same correlation can be employed for fitting phase equilibrium data for other hydrates too. The tuning parameter, n, is to be used for fine adjustment to the phase equilibrium data. The findings of this study can help for a better understanding of phase equilibrium and cage occupancy behavior of different gas hydrates. The accuracy in phase equilibria is intimately related to industrial applications such as crude oil transportation, solid separation, and gas storage. To date, no single correlation is available in the literature that can accurately predict phase equilibria for multiple hydrate species. The novelty of the present work lies in both the accuracy and generalizability of the proposed correlation in predicting the phase equilibrium data. The genetic programming generalized correlation is convenient for performing quick equilibrium prediction for industrial applications.
Gaming Disorder: How to Translate Behavioral Neuroscience Into Public Health Advances
Authors: Antons Stephanie , Müller Silke M. , Liebherr Magnus , Brand Matthias 
Published: September 2020

Abstract
Purpose of Review
Gaming disorder (GD), meanwhile classified as a mental disorder in both DSM-5 and ICD-11, is a current public health issue. Theoretical models assume core psychological processes, such as cue reactivity, craving, reward processing, decision-making, cognitive biases, inhibitory control, and stress relief, to be crucially involved in the development and maintenance of GD. This review summarizes neuroscientific findings on these processes in the context of GD as well as treatments and intervention programs addressing these processes.

Recent Findings
We identified overlaps regarding the involvement of neural structures and networks related to psychological processes which may be targeted by public health programs. Complex interactions between executive control, salience, reward, and habit networks are crucially linked to processes involved in GD and public health programs respectively.

Summary
We point at the difficulties of making one to one assignments of neural networks to psychological processes or interventions. Furthermore, new treatment and prevention programs of GD are discussed pointing at possible future directions for neuroscientific research and treatment programs for GD.
Existence of multi-solitons for the focusing Logarithmic Non-Linear Schrödinger Equation
Authors: Ferriere Guillaume 
Published: September 2020

We consider the logarithmic Schrödinger equation (logNLS) in the focusing regime. For this equation, Gaussian initial data remains Gaussian. In particular, the Gausson - a time-independent Gaussian function - is an orbitally stable solution. In this paper, we construct
multi-solitons
(or
multi-Gaussons
) for logNLS, with estimates in

H^{1} \cap \mathcal{F}(H^{1})

. We also construct solutions to logNLS behaving (in

L^{2}

) like a sum of

N

Gaussian solutions with different speeds (which we call
multi-gaussian
). In both cases, the convergence (as

t\rightarrow \infty

) is faster than exponential. We also prove a rigidity result on these constructed multi-gaussians and multi-solitons, showing that they are the only ones with such a convergence.

Résumé

On considère l'équation de Schrödinger logarithmique (logNLS) en régime focalisant. Pour cette équation, les données initiales gaussiennes restent gaussiennes. En particulier, le Gausson - une fonction gaussienne indépendante du temps - est une solution orbitalement stable. Dans cet article, nous construisons des
multi-solitons
(ou
multi-Gaussons
) pour logNLS, avec estimées dans

H^{1} \cap \mathcal{F}(H^{1})

. Nous construisons également des solutions à logNLS se comportant (dans

L^{2}

) comme une somme de

N

solutions gaussiennes avec différentes vitesses (que nous appelons
multi-gaussiennes
). Pour chaque cas, la convergence (pour

t\rightarrow \infty

) est plus rapide qu'exponentielle. Nous prouvons également un résultat de rigidité sur ces multi-gaussiennes et multi-solitons construits, en montrant que ce sont les seuls avec une telle convergence.
Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys
Authors: Negrel Jean , Divine Dmitry V. , Gerland Sebastian 
Published: September 2020

AbstractAirborne electromagnetic induction sensors have demonstrated their extensive capacities to measure sea-ice thickness distributions. However, biases can emerge when comparing these 1-D measurements to a broader 2-D regional scale due to the spatial anisotropy inherent to sea-ice cover. Automated processing of available sea-ice maps could significantly ease the decision on how to set up an optimised flight pattern, which would result in representative ice thickness numbers for the region. In this study, first we investigate the extent to which the sea-ice anisotropy can influence the representativeness of an airborne survey compared to the regional situation. Second, we propose a method to process sea-ice maps prior to flights to help preparing the most representative flight plan possible for the local area. The method is based on automated segmentation of radar satellite images and extensive simulation of flight transects over the image. The spatial analysis of these transects enables for the identification of the most representative survey trajectories for the area. The method was applied for seven different synthetic aperture radar satellite images over Arctic sea ice north of Svalbard. The results indicate that the proposed method improved the representativeness of the airborne survey by identifying the most suitable transect over the ice pack.
Participatory Workshop-Based Intervention for Better Preparedness and Awareness About Disaster Management Among Accredited Social Health Activists in India: A Brief Report
Authors: Thomas Jose Jom , H Chandana , Kulkarni Praveen , B Prakash , M. R. Narayana Murthy 
Published: September 2020

ABSTRACTObjectives:The aim of this study was to evaluate the effectiveness of training programs in improving the knowledge about disaster management among Accredited Social Health Activists (ASHAs) in Mysuru, India.Methods:A quasi-experimental study was conducted among 40 ASHAs of 3 Primary Health Centers in Mysuru district. A 3-h disaster management training and workshop followed by a mock-drill was organized in each center. Knowledge about disaster preparedness and management was assessed before and 1 mo after the intervention using a questionnaire by interview method. The data obtained were entered into an MS Excel spreadsheet and analyzed using licensed SPSS 22 software.Results:The mean score obtained by the ASHAs in pretraining assessment was 37.2 ± 10.4. Improvement was evident in the knowledge and preparedness of ASHAs 1 mo after the training, which showed a mean score of 90.14 ± 5.05. This change in score was statistically significant with a P-value < 0.001 on performing a paired t-test.Conclusion:Training programs with mock drills and hands-on activities are effective in improving the knowledge of frontline health workers about disaster management. We recommend such training to be organized in all public health facilities.
Cloth Face Coverings for Use as Facemasks During the Coronavirus (SARS-CoV-2) Pandemic: What Science and Experience Have Taught Us
Authors: Roberge Raymond J. , Roberge Marc R. 
Published: September 2020

ABSTRACTThe current coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) pandemic has resulted in severe shortages of personal protective equipment, including respiratory protective equipment, such as N95 respirators. This has led some government agencies to suggest the use of cloth face coverings (CFCs) by health-care providers and the general public as a last resort when standard respiratory protective equipment is unavailable. Although such coverings have been in use for over a century and have found widespread use during some previous pandemics, research data are relatively scant for the protective value of this measure. This article, a literature review, explores the development of CFCs and reviews available scientific research regarding the efficacy of this intervention as a preventive measure in the spread of airborne infectious diseases
Antarctic ice sheet response to sudden and sustained ice-shelf collapse (ABUMIP)
Authors: Sun Sainan , Pattyn Frank , Simon Erika G. , Albrecht Torsten , Cornford Stephen , Calov Reinhard , Dumas Christophe , Gillet-Chaulet Fabien , Goelzer Heiko , Golledge Nicholas R. , Greve Ralf , Hoffman Matthew J. , Humbert Angelika , Kazmierczak Elise , Kleiner Thomas , Leguy Gunter R. , Lipscomb William H. , Martin Daniel , Morlighem Mathieu , Nowicki Sophie , Pollard David , Price Stephen , Quiquet Aurélien , Seroussi Hélène , Schlemm Tanja , Sutter Johannes , van de Wal Roderik S. W. , Winkelmann Ricarda , Zhang Tong 
Published: September 2020

AbstractAntarctica's ice shelves modulate the grounded ice flow, and weakening of ice shelves due to climate forcing will decrease their ‘buttressing’ effect, causing a response in the grounded ice. While the processes governing ice-shelf weakening are complex, uncertainties in the response of the grounded ice sheet are also difficult to assess. The Antarctic BUttressing Model Intercomparison Project (ABUMIP) compares ice-sheet model responses to decrease in buttressing by investigating the ‘end-member’ scenario of total and sustained loss of ice shelves. Although unrealistic, this scenario enables gauging the sensitivity of an ensemble of 15 ice-sheet models to a total loss of buttressing, hence exhibiting the full potential of marine ice-sheet instability. All models predict that this scenario leads to multi-metre (1–12 m) sea-level rise over 500 years from present day. West Antarctic ice sheet collapse alone leads to a 1.91–5.08 m sea-level rise due to the marine ice-sheet instability. Mass loss rates are a strong function of the sliding/friction law, with plastic laws cause a further destabilization of the Aurora and Wilkes Subglacial Basins, East Antarctica. Improvements to marine ice-sheet models have greatly reduced variability between modelled ice-sheet responses to extreme ice-shelf loss, e.g. compared to the SeaRISE assessments.
Brettanomics I: The Cost ofBrettanomycesin California Wine Production
Authors: Alston Julian M. , Arvik Torey , Hart Jarrett , Lapsley James T. 
Published: September 2020

AbstractThe yeast,Brettanomyces bruxellensis(Brett) is a significant cause of quality defects associated with red wine spoilage. At least some wine producers spend significant resources to prevent, detect, and mitigate damage from Brett, and many express concern about it, but some producers and consumers say they like it in small doses. Brett damage is especially of concern in premium red wine and has become more of a concern to producers in recent years as consumers have become better informed about it. We combine information from diverse sources to develop an initial understanding of the economics ofBrettanomycesand management practices to mitigate its consequences. An analysis of detailed confidential data from three wineries in California reveals that at least some wineries are incurring significant costs to reduce the risk of infection withBrettanomyces. Some other wineries that opt not to spend so much on prevention are incurring higher costs in treating infected wines and in lost value from wines being downgraded to lower-valued blends. Results from an online survey of industry participants reinforce the analysis of the detailed data from the three wineries and suggest that the findings may be indicative of conditions more generally across the industry. (JEL Classifications: D22, D24, L66)
The effect of energy restriction on development and progression of chronic kidney disease: review of the current evidence
Authors: Afsar Baris , Afsar Rengin Elsurer , Copur Sidar , Sag Alan A. , Ortiz Alberto , Kanbay Mehmet 
Published: September 2020

AbstractEnergy restriction (ER) has anti-ageing effects and probably protects from a range of chronic diseases including cancer, diabetes and chronic kidney disease (CKD). Specifically, ER has a positive impact on experimental kidney ageing, CKD (diabetic nephropathy, polycystic kidney disease) and acute kidney injury (nephrotoxic, ischaemia–reperfusion injury) through such mechanisms as increased autophagy, mitochondrial biogenesis and DNA repair, and decreased inflammation and oxidative stress. Key molecules contributing to ER-mediated kidney protection include adenosine monophosphate-activated protein kinase, sirtuin-1 and PPAR-γcoactivator 1α. However, CKD is a complex condition, and ER may potentially worsen CKD complications such as protein–energy wasting, bone–mineral disorders and impaired wound healing. ER mimetics are drugs, such as metformin and Na–glucose co-transporter-2 which mimic the action of ER. This review aims to provide comprehensive data regarding the effect of ER on CKD progression and outcomes.
Probiotics and Coronavirus disease 2019: think about the link
Authors: Angurana Suresh Kumar , Bansal Arun 
Published: September 2020

AbstractThe pandemic of Coronavirus disease 2019 (COVID-19) is rapidly progressing, causing significant morbidity and mortality. Various antiviral drugs, anti-inflammatory drugs and immunomodulators have been tried without substantial clinical benefits. The severe and critical cases of COVID-19 disease are characterised by gut microbiome dysbiosis, immune dysregulation, hyper-inflammation and hypercytokinaemia (cytokine storm). Therefore, the strategies which target these pathophysiological processes may be beneficial. Probiotics are one such strategy that exerts beneficial effects by manipulation of the gut microbiota, suppression of opportunistic pathogens in the gut, decreasing translocation of opportunistic organisms, activation of mucosal immunity and modulation of the innate and adaptive immune response. Probiotics are the potential candidates to be tested in moderate and severe cases of COVID-19 due to several beneficial effects, including easy availability, easy to administer, safe and economical to use.
The Big Reveal: COVID-19 and Globalization's Great Transformations
Authors: McNamara Kathleen R. , Newman Abraham L. 
Published: September 2020

AbstractAnalysis of the post-COVID world tends to gravitate to one of two poles. For some, the pandemic is a crisis that will reshuffle the decks, producing a fundamental reordering of global politics. For others, the basic principles of the international order are likely to remain much the same, driven largely by the emerging bipolar system between the US and China. We find both narratives dissatisfying, as the former overinterprets the causal role of the pandemic itself, while the latter underappreciates the critical ways in which global politics have been transformed beyond the state-centered system of the Cold War. We argue instead that the pandemic exposes underlying trends already at work and forces scholars to open the aperture on how we study globalization. Most centrally, we contend that globalization needs to be seen not just as a distributional game of winners and losers but rather a more profoundly transformational game that reshapes identities, redefines channels of power and authority, and generates new sites for contentious politics. We draw on emerging work to sketch out a theoretical frame for thinking about the politics of globalization, and assess some of the key policy arenas where COVID-19 is accelerating the transformative effects of globalization. In so doing, we suggest a roadmap to a post-pandemic research agenda for studying global markets that more fully captures these transformations and their implications for world politics.