bluuebunny/crossref_metadata_2025_split huggingface dataset:
A micro-level study of research impact and motivational diversity
Authors: Vega Arturo , Gabbioneta Claudia , Osorio Carlos , Cunningham James 
Published: November 2023

AbstractWhat motivates academics to pursue technology and knowledge transfer has been a growing area of research with recent calls for a deeper understanding of this issue. Technology and knowledge transfer are being positioned by policymakers and universities as part of the wider research impact agenda. Against this background, the purpose of this paper is to explore at a micro level the motivational diversity among academics in pursuing research impact. Set in a business school context, our study uses self-determination theory and an interpretive approach. We focus on the main motivations to be an academic in terms of the core psychological needs of autonomy, competence, and relatedness, the consequent intrinsic or extrinsic motivations for research impact, and the attitudes towards institutional measures for this practice. We identified six research impact groups, practice-oriented researchers, business seekers, instrumentalists, compliers, theoreticians, and relationship facilitators. We also found some friction between the motivations to be an academic and for research impact.
Intercomparison exercise on difficult to measure alpha radionuclides in spent ion exchange resin
Authors: Leskinen Anumaija , Jerome Simon , Lavonen Tiina , Gautier Celine , Stordal Solveig , Salminen-Paatero Susanna , Meriläinen Veronika 
Published: November 2023

AbstractIn radiochemical analysis of decommissioning waste, reference materials are not commercially available and consequently intercomparison exercises are needed for method validations. This paper reports the results from an intercomparison exercise focusing on analyses of α-emitter radionuclides in spent ion exchange resin. The exercise and statistical analysis of the submitted results were carried out based on ISO 13528 standard according to which the assigned values were calculated from the participant’s results and the performances were assessed using z-scores, which showed excellent performance for all 241Am analyses, good performance for 238Pu analyses, tolerable performance for 239,240Pu analyses, and questionable 243,244Cm analyses.
Investigating frictional contact behavior for soft material robot simulations
Authors: Berthold Rebecca , Burgner-Kahrs Jessica , Wangenheim Matthias , Kahms Stephanie 
Published: November 2023

AbstractThe ability to interact safely with the environment is known as one of the major advantages of soft robots (SRs). Due to their low material stiffness, these continuously deformable robots offer inherent flexibility. These advantages make them suitable for application that involve human-robot collaboration in industrial settings as well as medical application such as minimally invasive surgery. To date only few research groups have analyzed the contact and frictional behavior of soft robots. In fact, the contact behavior is often oversimplified or neglected. Motivated by the idea to bridge this gap, this work presents measurements and the resulting coefficient of friction (COF) for silicone rubbers that are widely used in the field of SRs and different contact partners which depend on contact pressure and ambient temperature. From these measurements, a more representative contact model is established and used to more accurately simulate soft material robots’ frictional contact behavior. Moreover the influence of friction and therefore the need to implement frictional behavior is demonstrated for a typical application of a SR.
Effectiveness of Fiscal Announcements: Early Evidence from COVID-19
Authors: Jalles João Tovar , Battersby Bryn , Lee Rachel 
Published: November 2023

AbstractThis paper empirically examines the effectiveness of announced government fiscal measures in the context of the COVID-19 pandemic. First, we build a new panel dataset of fiscal announcements by type, such as above-the line, below-the-line, and contingent liabilities for a wide sample of 136 advanced and developing countries between January 2020 and May 2021. Then, using this newly constructed dataset, we show, using both static and dynamic panel analyses, how various types of fiscal announcements affect alternative proxies of economic activity and across different income groups. We also evaluate how these effects vary depending on the country’s initial conditions (degree of public indebtedness or the business cycle positioning). Fiscal announcements also matter in terms of external credibility since they have an effect on government bond spreads. Ultimately, our findings suggest why it might be critical to consider the “news” effect of a fiscal measure by type rather than at the aggregated level.
Does response lag affect travelers’ stated preference? Evidence from a real-time stated adaptation survey
Authors: Fujiwara Keishi , Varghese Varun , Chikaraishi Makoto , Maruyama Takuya , Fujiwara Akimasa 
Published: November 2023

AbstractStated preference (SP) surveys typically ask respondents to make a choice under a hypothetical situation. However, the choice context is often unrealistic, leading to errors and biases in the response. To overcome this, revealed preference (RP) data has been used to create a more realistic choice context for generating SP questions. For instance, in stated adaptation (SA) surveys, users are asked to answer SP questions based on a specific RP context they actually experienced. One challenge in SA surveys is that it is difficult for the respondents to precisely recall the RP context, especially when there is a longer time gap between RP behavior and SP response (response lag). However, no empirical studies have been conducted to test how elicited preferences vary in response to changes in the response lag. This study empirically examines the impact of response lag on SP responses using real-time SA survey data collected from Kumamoto and Hiroshima, Japan. To accomplish this, we developed a survey tool that enables respondents to answer SP questions in real time, i.e., immediately after their RP behavior. The empirical results confirmed that systematic bias increases with an increase in response lag. Additionally, the results showed that the greater the response lag, the more respondents tended to focus on the SP attributes rather than the RP attributes. These findings indicate that the timing of responses is an important survey design parameter when conducting an SA survey.
Particle Acceleration by Magnetic Reconnection in Geospace
Authors: Oka Mitsuo , Birn Joachim , Egedal Jan , Guo Fan , Ergun Robert E. , Turner Drew L. , Khotyaintsev Yuri , Hwang Kyoung-Joo , Cohen Ian J. , Drake James F. 
Published: November 2023

AbstractParticles are accelerated to very high, non-thermal energies during explosive energy-release phenomena in space, solar, and astrophysical plasma environments. While it has been established that magnetic reconnection plays an important role in the dynamics of Earth’s magnetosphere, it remains unclear how magnetic reconnection can further explain particle acceleration to non-thermal energies. Here we review recent progress in our understanding of particle acceleration by magnetic reconnection in Earth’s magnetosphere. With improved resolutions, recent spacecraft missions have enabled detailed studies of particle acceleration at various structures such as the diffusion region, separatrix, jets, magnetic islands (flux ropes), and dipolarization front. With the guiding-center approximation of particle motion, many studies have discussed the relative importance of the parallel electric field as well as the Fermi and betatron effects. However, in order to fully understand the particle acceleration mechanism and further compare with particle acceleration in solar and astrophysical plasma environments, there is a need for further investigation of, for example, energy partition and the precise role of turbulence.
Monitoring metal patterns from urban and agrarian sites using the bumblebee Bombus terrestris as a bioindicator
Authors: Breidenbach Leonie Rabea , Benner Lena , Roß-Nickoll Martina , Linnemann Volker , Schäffer Andreas 
Published: November 2023

AbstractHoneybees are well-established bioindicators for different types of pollutants. This study aims to establish another species of the Apidae family as a bioindicator, with a distinct behaviour and life cycle. The bumblebee Bombus terrestris was used as a bioindicator for 12 metals. Bumblebee hives were placed at sampling sites in and around the city of Aachen, Germany, and metal concentrations were assessed using ICP-MS. Metal concentrations were compared to those found in honeybees described in the literature. Spatial differences in metal patterns were investigated by comparing two land-use types: urban and agrarian. Seasonal differences were compared by taking samples in spring and summer. All analysed metals were detected above the detection limit and within or even above the concentration range found in honeybees. Significant spatial differences were found for the metalloid B and the metal Cd with higher concentrations at the agrarian sites than the urban sites. Significant seasonal differences were found for 8 metals: Fe, Zn, Cu, Ni, Cd, and As concentrations were higher in summer than in spring, while B and V concentrations were higher in spring. To categorise the results, we applied the honeybee contamination index (HCI) and adapted it to bumblebee purposes. According to the HCI, only one agrarian site showed a high contamination level. This study shows that bumblebees are suitable bioindicators for metals. The obtained data can serve as a first baseline in the establishment of additional monitoring studies or risk assessments.
The History of Dutch Potato Breeding 1888–2018: from Hobby to Industry
Authors: van Loon J. P. , Lammerts van Bueren E. T. , van Cruyningen P. J. , Wiskerke J. S. C. 
Published: November 2023

AbstractThe Netherlands has a world-leading position in potato breeding, but little is known about the factors that led to this success. This paper analyses the factors that have influenced the development of potato breeding in the Netherlands. This study is based on research of the grey and scientific literature and interviews with various representatives from the Dutch potato breeding sector. We distinguish four periods: (i) Before 1888, no potato breeding in the Netherlands existed whereas in other countries first crosses occurred. (ii) 1888–1940, more individuals started breeding out of interest and hobby to overcome the commonly observed degeneration of potato. (iii) 1940–1967 the emergence of a corporate set up of breeding by private companies collaborating with small breeders. (iv) 1967–present, towards full-fledged breeding industry supported by the new Seeds and Planting Materials Act (ZPW) in 1967 including the breeders’ rights. Many factors including cultural practices, diseases, and market that determine the strategy of breeding have been analysed. The development is most of all ‘crop driven’ to maintain the level of production. But it was also ‘export driven’ leading to the development of an export-oriented seed potato sector. The conclusion is that three elements were dominant in the development of a strong potato breeding sector: (1) the broad cooperation among all players in the potato chain, (2) the design of the institutional infrastructure, and (3) the remuneration of the breeding work through legislation regarding plant breeders’ rights. The study ends with an outlook on future trends, one of them leading from an open to a more closed business culture.
A global analysis of implants and replacements of pacemakers and cardioverter-defibrillators before, during, and after the COVID-19 pandemic in Italy
Authors: Zecchin Massimo , Ciminello Enrico , Mari Veronica , Proclemer Alessandro , D’Onofrio Antonio , Zanotto Gabriele , De Ponti Roberto , Capovilla Teresa Maria , Laricchiuta Paola , Biondi Alessia , Sampaolo Letizia , Pascucci Simona , Sinagra Gianfranco , Boriani Giuseppe , Carrani Eugenio , Torre Marina 
Published: November 2023

AbstractAt the beginning of the COVID-19 emergency, non-urgent surgical procedures had to be deferred, but also emergencies were reduced. To assess the global trend of pacemaker (PM) and implantable cardiac-defibrillator (ICD) procedures performed in Italy before, during, and after the first COVID-19 emergency, all the Italian hospital discharge records related to PM/ICD procedures performed between 2012 and 2021, sent to the National Institute of Health, were reviewed. Compared to 2019, in 2020, there was a reduction of first PM implants (52,216 to 43,962, −16%; p < 0.01), but not replacements (16,591 to 17,331, + 4%; p = 0.16). In particular, in April 2020, there was a drop of first implants (− 53,4% vs the average value of April 2018 and April 2019; p < 0.01), while the reduction of replacements was less evident (−32.6%; p = NS). In 2021, PM procedures increased to values similar to the pre-pandemic period. A reduction of ICD procedures was observed in 2020 (22,355, −7% toward 2019), mainly in April 2020 (− 46% vs April 2018/April 2019; p = 0.03). In 2021, the rate of ICD procedures increased (+ 14% toward 2020). A non-significant reduction of “urgent” procedures (complete atrioventricular block for PM and ventricular fibrillation for ICD), even in April 2020, was observed. In 2020, there was a reduction of first PM implants and ICDs, offset by increased activity in 2021. No decrease in PM replacements was observed, and the drop in “urgent” PM and ICD procedures was not statistically significant.
Early maladaptive schemas and perceived impact of COVID-19: the moderating role of sex and gambling
Authors: Estévez Ana , Macía Laura , Aonso-Diego Gema , Herrero Marta 
Published: November 2023

AbstractAmple evidence indicates that early maladaptive schemas play an important role in the perceived impact of COVID-19 on individuals. Likewise, people with gambling disorder (GD), as well as women, show more maladaptive schemas than people without an addictive condition and men. However, no research to date has investigated the interrelationship between maladaptive schemas and the perceived impact of COVID-19, and even fewer studies have disaggregated the results by sex and clinical condition. This study aimed to examine the relationship between maladaptive schemas and the perceived impact of COVID-19 (i.e., emotional, physical, occupational, social, care, and quality of life). Second, we assessed the moderating role of sex and clinical group (i.e., gambling vs. non-gambling) on this relationship. A case-control study was performed with 160 participants, specifically 80 people with GD and 80 non-gamblers. The findings showed that individuals with greater maladaptive schemas showed higher COVID-19 impact. Moreover, gamblers presented higher maladaptive schemas and lower COVID-19 impact. Finally, the outcomes indicated that the male sex moderates the failure and imperfection schemas and the perceived impact on occupational and physical health, while the female sex moderates the attachment schemas and the global impact. These findings underscore the necessity of incorporating variables such as sex and GD when tailoring strategies for prevention, evaluation, and intervention for individuals. Additionally, the significance of adopting a gender-inclusive perspective was emphasized.
Access to senior secondary science and mathematics: examining the evidence for stratification in an Australian school system
Authors: Dean Jenny , Roberts Philip , Murphy Steve 
Published: November 2023

AbstractThis research investigates access to senior school science and mathematics subjects offered in the final year of secondary schooling. Using data from the most populous Australian state of New South Wales, we examine whether stratification occurs in access to science and mathematics curricula. We find that the opportunity to study these subjects differs by key school characteristics, including location, socioeconomic composition and school sector. We find that while some science subjects and entry level mathematics are offered in most schools, substantial inequalities exist in access to the most advanced level of mathematics and chemistry. School location, socioeconomic composition, enrolment size and the availability of teachers predict the probability of whether a school offers the least and most advanced science and mathematics subjects. The findings highlight that stratification in curricula offerings occurs systemically and may intensify educational inequalities.
Synthesis and characterization of nanocomposites containing Buchholzia coriacea pod decorated with multi-walled carbon nanotubes for remediation of rhodamine B dye from aqueous solution
Authors: Amaku James Friday , Taziwa Raymond 
Published: November 2023

AbstractA novel nanocomposite (WKM) was synthesized by crosslinkingBuchholzia coriaceapod (WK) andf-MWCNTs for the efficient adsorption of rhodamine B (RhB) from wastewater. The uptake of RhB onto WK and WKM was influenced by initial pH, adsorbent dose, the temperature of the adsorptive system, contact time and initial RhB concentration. Optimum experimental conditions of 100 min agitation time, 0.05 g dosage, solution pH 3.0 and 100 mg dm−3initial concentration were obtained. The uptake of RhB onto WK and WKM was well expressed by Freundlich isotherm and a monolayer maximum uptake capacity of 67.82 mg g−1and 87.58 mg g−1was determined for WK and WKM, respectively. The adsorption of RhB onto WKM and WK followed the Elovich and pseudo-first-order kinetic models, respectively. Thermodynamic parameters such as ∆G°, ∆H° and ∆S° reveal that the uptake of RhB onto WK and WKM was spontaneous and endothermic. Meanwhile, WKM demonstrated excellent reusability. Hence, this study presents a nanocomposite (WKM) with robust potential for RhB removal.
Analysis across case-based global sustainability projects: an emerging challenge for ocean conflict research in the Anthropocene
Authors: Glaser Marion , Selim Samiya Ahmed , De la Cruz-Modino Raquel , van Putten Ingrid , Canela Shankar Aswani , Paytan Adina , Dutra Leo X.C. , Heck Nadine , Narayan Siddharth , Sauer Warwick , Boonstra Wiebren Johannes , Snow Bernadette 
Published: November 2023

AbstractA growing number of global ocean conflict studies over the last decade have set out to advance sustainability in the Anthropocene. Many of these research projects use multiple case studies to extract lessons for wider contexts. The methods used by these studies, and the extent to which their results have validity beyond the individual case study, often remain unclear. This paper explores the challenges in performing cross-case analysis within what we denote as case-based globally focussed sustainability projects (CB-GSPs) and indicates solutions by combining information from semi-structured interviews with leading scientists from eight CB-GSPs. We identify six distinct challenges that are common across these studies with regard to generating actionable knowledge through cross-case analysis. Based on these findings, we propose a set of best practice recommendations for scientists, project partners, and funders to co-produce actionable knowledge for global projects on ocean conflict.
A continuous toolpath strategy from offset contours for robotic additive manufacturing
Authors: Nguyen Xuan Anh , King Peter , Vargas-Uscategui Alejandro , Lohr Hans , Chu Clement 
Published: November 2023

AbstractToolpath planning is an essential component of robotic additive manufacturing. An efficient toolpath strategy allows parts to be made that are geometrically accurate, free of defects, have good mechanical properties and have low residual stress. Toolpaths for cold spray additive manufacturing have some technical constraints that need to be considered compared to their counterpart designed for conventional 3D printing machines. This study presents an automated toolpath planning method based on offset contours. The generated toolpath is globally continuous, layer-wise setting, making it suitable for robotic cold spray additive manufacturing. The toolpath algorithm was tested on a variety of geometries to demonstrate its robustness. One model was selected for printing using a commercial high-pressure cold spray system. The experimental results show that our method is applicable to cold spray robotic additive manufacturing for near-net shape construction. The method is particularly good for web-rib structures.
Sessualità e sindrome dell’ovaio policistico
Authors: Alfaroli Chiara , Maseroli Elisa , Vignozzi Linda 
Published: November 2023

SommarioLa sindrome dell’ovaio policistico (PCOS) è il più frequente disordine endocrino nelle donne in età riproduttiva, con una prevalenza stimata tra il 5 e il 24% in base alla popolazione di riferimento. Le sue caratteristiche cliniche possono influenzare la salute sessuale e riproduttiva della donna, sebbene la letteratura inerente questo argomento non esprima al momento attuale dati definitivi, ma anzi spesso contrastanti. L’obiettivo di questa rassegna è analizzare l’impatto della PCOS sulla sfera della sessualità, prendendo in considerazione le sue manifestazioni cliniche e le eventuali comorbidità associate.
Semisupervised regression in latent structure networks on unknown manifolds
Authors: Acharyya Aranyak , Agterberg Joshua , Trosset Michael W. , Park Youngser , Priebe Carey E. 
Published: November 2023

AbstractRandom graphs are increasingly becoming objects of interest for modeling networks in a wide range of applications. Latent position random graph models posit that each node is associated with a latent position vector, and that these vectors follow some geometric structure in the latent space. In this paper, we consider random dot product graphs, in which an edge is formed between two nodes with probability given by the inner product of their respective latent positions. We assume that the latent position vectors lie on an unknown one-dimensional curve and are coupled with a response covariate via a regression model. Using the geometry of the underlying latent position vectors, we propose a manifold learning and graph embedding technique to predict the response variable on out-of-sample nodes, and we establish convergence guarantees for these responses. Our theoretical results are supported by simulations and an application to Drosophila brain data.
»Making Up Misophonic People«
Authors: Schubert Cornelius , Zillien Nicole 
Published: November 2023

ZusammenfassungMisophonie wird von Betroffenen als eine der ersten vollwertigen Krankheitsdiagnosen des Internetzeitalers beschrieben. In Foren und auf Plattformen versammeln sich Menschen, die einen unüberwindbaren Hass auf spezifische Geräusche verspüren. In diesem Beitrag betrachten wir die Herausbildung der Diagnose »Misophonie« als medizinische Kategorie in sozialen Medien. Wir untersuchen, wie Misophonie zu einer populären Diagnose wird, wie Expert*innen und Lai*innen wechselseitig aufeinander verweisen und mit welchen Widerständen sie in diesem Prozess konfrontiert werden. Wir verstehen die Herausbildung der medizinischen Kategorie als ein »making up people«: als Herausbildung einer Betroffenengruppe, die sich eng mit der Diagnose identifiziert und mit großem Nachdruck für die Anerkennung als Krankheit kämpft.