bluuebunny/crossref_metadata_2025_split huggingface dataset:
The e-biking in Switzerland (EBIS) study: methods and dataset
Authors: Heinonen Sanelma , de Freitas Lucas Meyer , Meister Adrian , Schwab Laura , Roth Jakob , Hintermann Beat , Götschi Thomas , Axhausen Kay 
Published: December 2024

AbstractThis article presents the EBIS (e-Biking in Switzerland) study, including its methodology, the resulting dataset, and an initial descriptive analysis of the population surveyed. The EBIS study is a Switzerland-wide GPS-tracking study with the aim of investigating the scope of carbon savings in the transport sector due to e-biking. Participants consisted of cyclists and e-bikers across the French- and German-speaking regions of Switzerland. In addition to extensive GPS tracking, the study included a randomized controlled trial (RCT) on transport pricing’s role in substituting e-bike trips for car trips, a retrospective survey on mode shift, and a stated preference survey on cycling infrastructure preferences. We here report participant attrition and engagement rates and compare the EBIS population to the 2021 Swiss Mobility and Transport Microcensus (MTMC) in terms of socio-demographic characteristics and travel behavior. In doing so, we present a unique dataset of 3,940 participants, 324 thousand user-days of tracking data, and over half a million stages by bike or e-bike.
Analysing heterogeneity in factors affecting adoption of ride-hailing services: a stepwise LCCA-MCDM modelling approach
Authors: Bhaduri Eeshan , Pal Shagufta , Goswami Arkopal Kishore 
Published: December 2024

AbstractThe study investigates the latent heterogeneity in travel behaviour among urban travellers, including ride-hailing service (RHS) users and non-users, by incorporating attitudes so as to reinforce conventional user-segmentation approaches. Simultaneously, prioritisation of ride-hailing specific attributes was carried out to assess how RHS will operate in a sustainable way. The study initially examines latent heterogeneity in travellers through a Latent Class Cluster Analysis (LCCA) model. Subsequently, it prioritises key RHS-specific attributes for each cluster using three established Multi Criteria Decision Making (MCDM) techniques. Three clusters were identified based on individuals’ attitudes and covariates (socio-demographics, travel habits, and built environment attributes). The largest cluster is the Tech-savvy ride-hailing-ready individuals (48%) with higher technological literacy, showing maximum acceptance towards ride-hailing. The second largest cluster comprises the Traditional active-mobility individuals (28%) who display the least proclivity towards RHS, probably due to their technological inhibition coupled with greater attachment to traditional travel alternatives. Lastly, the PV-loving multimodal individuals (24%) are primarily vehicle owners but prefer RHS for occasional trips. The final ranking obtained from the analysis has revealed that travel time, reliability, and flexibility are the motivators, while travel cost and waiting time are the deterrents, as perceived by the users, that influence RHS in the Indian context.
Computer-assisted morphology training of reading with grade 2 and grade 3 poor readers
Authors: Kronberg Nea , Aro Mikko , Eklund Kenneth , Lehecka Tomas , Vataja Pia , Salmi Paula 
Published: December 2024

AbstractExplicit morphology instruction has been recommended for poor readers. Still, hardly any studies have compared the effectiveness of both explicit and implicit morphology training in relation to business-as-usual support in improving reading proficiency. In this study, 277 poor readers in Grades 2 and 3 participated in a computer-assisted eight-week intervention focusing on suffixes in a randomised control trial, with pre-, post- and follow-up assessment in schools for Swedish-speaking children in Finland. Students were randomly allocated into two experimental groups and one control group. The first experimental group played a digital game with explicit instruction in lexical morphology (explicit). The other experimental group played the game without said instruction (implicit). Intervention and Grade effects were analysed using mixed-design analysis of variance (ANOVA). A significant time x group intervention effect was found only in the implicit vs. control group comparison between pre- and post-assessments; a moderate gain in identification of trained words assessed in a game-like manner was found in the implicit group unlike in controls. The difference in gain remained significant at follow-up for both grades. Additionally, third graders in the implicit group demonstrated a more significant improvement than controls in reading aloud pseudowords with trained suffixes, both in the pre‒post comparison and at follow-up. Results suggest that poor readers benefitted from implicit morphology training, but explicit instruction in lexical morphology (animations with verbal explanations) did not have a significant effect on reading proficiency.
Public Trust in Covid-19 Tracking Technology: A Survey of Attitudes About Hong Kong’s LeaveHomeSafe Mobile App
Authors: Hartley Kris , Aldag Austin M. 
Published: December 2024

Abstract
The effectiveness of governments in addressing the Covid-19 pandemic has been analyzed through numerous perspectives, including state authority, capacity, and legitimacy. In Hong Kong, incumbent political tensions and lack of trust in government potentially weakened public support for official Covid-19 mitigation measures, which included a government-mandated mobile application to monitor personal movements and contacts. This episode invites academic inquiry about public trust in policies and associated technology. Based on a 2022 survey of more than 5,000 residents, this study finds that support for Hong Kong’s LeaveHomeSafe application is associated with, among other factors, a predisposition to cooperate with government in sharing personal data. Several control variables, including age, social media use, and vaccination status, are also associated with support for the application. Trust in policies that use technology and data, and agreement that the government was effective in managing the spread of Covid-19, do not significantly associate with public support for the application. This study deepens scholarly understandings about the distinction between public trust in government and public trust in government technology, a topic of recent interest in the context of smart cities and rapid advancements in artificial intelligence.
Quantifying and Contextualizing Violent Collective Action Event Datasets
Authors: O’Brochta William , Parikh Sunita 
Published: December 2024

Abstract
How does newspaper-based event data compare to a government data source? While scholars have long recognized the importance of and biases present in newspaper-based event data, few studies have compared newspaper reports with official government data to better understand the severity and impact of such biases. We develop this comparison in the context of riots, a form of violent collective action that represents an important middle ground between peaceful protests and protracted civil conflict. Using newly collected police precinct-level government data from India, we compare these data to a high-quality newspaper source. Though similar at the aggregate level, newspaper riot reports correlate poorly with government data at the local level. We model the frequency of newspaper and government riot reports based on literacy, location, and other demographic characteristics to better understand the discrepancies between these two sources. We conclude that newspaper riot data does partially reflect aggregate riot trends, but the newspaper editorial process also plays an important role. Government data is better for within country comparisons and for analyzing event trends over time. Our findings suggest that using collective action event data from both sources may help ensure that results are not driven by biases in either data source.
The Impact of Acid Strength and Mineral Composition on Spontaneous Imbibition with Reactive Fluids
Authors: Pratama Muhammad Andiva , Khan Hasan Javed 
Published: December 2024

Abstract
Capillary rise experiments are conducted in a set of calcareous and siliceous rocks with varying mineralogy and petrophysical properties to understand the coupled impact of reactivity and spontaneous imbibition. A capillary rise experiment is performed in each sample: first with deionized water, then with a dilute acidic solution, and finally again with deionized water, and the capillary rise profile for each is recorded. Pre- and post-acid petrophysical properties such as porosity, permeability, pore size distribution, and contact angle are measured for each sample. The mineral makeup of the rocks significantly influences how the acidic fluids penetrate the samples. The primary reactions are the dissolution of Ca- and Mg-rich minerals which alter the pore network. The higher acid strength results in higher capillary rise in calcareous rocks and results in an increase in the average pore size. The same pH acid results in lower capillary rise in the siliceous rocks, and a general decrease in the average pore size is observed. Changes in contact angle indicate increased water affinity in carbonate and reduced affinity in sandstone. The link between capillary interactions and fluid reactivity is often overlooked in fluid flow studies, and this research sheds light on the importance of reactivity during spontaneous imbibition, offering insights into dissolution and precipitation processes during capillary flow.
Exploring elite athletes’ entrepreneurial intentions: unraveling the impact of high-level sports career in skills development
Authors: Vidal-Vilaplana Alberto , González-Serrano María Huertas , Crespo-Hervàs Josep 
Published: December 2024

AbstractThe sporting career of elite athletes is a limited, inevitably terminal and often short career, with an early retirement process, so elite athletes should consider having a second professional career. In this sense, entrepreneurship is a popular choice for professional athletes and, moreover, they are considered to be well equipped, in terms of personality and skills, for this entrepreneurial career. The aim of this study is to analyse the influence of different entrepreneurial skills on the Entrepreneurial Intentions of elite athletes, also taking into account other factors such as whether they follow a Dual Career. In this way, the aim is to show how the entrepreneurial skills acquired and developed through high-level sport (resilience, proactivity and creativity) can influence the Entrepreneurial Intentions of these athletes, and help them to succeed in their professional career after retirement. The sample was composed by 200 elite athletes from Spain. Results showed that these athletes perceived a high degree of development of the skills. Besides, three solutions were obtained for high levels of Entrepreneurial Intentions that explained the 38% of these cases. The combinations of high levels of resilience with high levels of creativity were presented in all the solutions in combination with other variables, and proactivity, in a lesser extent, in two solutions. Finally, some theoretical and practical implications are proposed in order both to improve the research on the topic and highlight the importance of educational training of elite athletes to increase their possibilities to success in their future entrepreneurial career.
Digital technologies for life cycle assessment: a review and integrated combination framework
Authors: Popowicz Martin , Katzer Nicolas J. , Kettele Moritz , Schöggl Josef-Peter , Baumgartner Rupert J. 
Published: December 2024

Abstract

Purpose
Companies need to enhance their understanding of the environmental impacts of their products and services. Life cycle assessment (LCA) has become a prevalent method for evaluating these impacts. Despite significant advancements in LCA methodology and data availability, several challenges persist. Digital technologies may offer solutions to these challenges in LCA. Therefore, it is crucial to explore how digital technologies can be integrated into LCAs.

Methods
A systematic literature review was conducted to examine the application of digital technologies, specifically blockchain, the Internet of Things (IoT), big data, and artificial intelligence (AI), within LCAs. The review included 103 peer-reviewed journal articles and conference papers. Contributions of these technologies were categorized according to the four LCA phases outlined in ISO 14040/44 standards. The findings were synthesized into a framework that highlights the individual and combined potential of these technologies for enhancing LCAs.

Results and discussion
The review reveals that IoT is primarily used in the inventory analysis phase, while blockchain, AI, and big data are applied across the goal and scope definition, inventory analysis, impact assessment, and interpretation phases. Based on these findings, a comprehensive theoretical concept was developed to outline all possible combinations of these four technologies with LCA for synergistic application.

Conclusions
This study proposes a framework for integrating four key digital technologies—blockchain, IoT, big data, and AI—into LCAs to support environmental sustainability assessment from a company perspective. This framework offers a current overview and a foundation for future research. For LCA practitioners, it serves as a strategic tool for identifying potential technologies and making informed decisions about which digital technologies to apply in their assessments.
Second hand or second generation? The performance of secondary buyouts
Authors: Kick Jonas , Schwetzler Bernhard 
Published: December 2024

AbstractSecondary buyouts (SBOs) appear paradoxical because the surge in SBO activity is met with scepticism from the public and investors regarding their performance. In this paper, we undertake a comprehensive analysis of SBO performance through two distinct lenses: First, we address the prevailing notion of SBOs as “lemons”. These are perceived as opportunities that, following a successful primary buyout (PBO), seemingly leave little room for further value creation. To investigate this “negative correlation hypothesis”, we employ a unique back-to-back sample of 276 cases involving the same firm in both a PBO and an SBO. Analysing the correlation between the internal rate of returns (IRRs) of back-to-back PBO/SBOs, our results do not support the “negative correlation hypothesis”. Second, we directly compare the deal performance of the two related back-to-back buyout rounds. For our back-to-back sample, we find that PBOs display significantly higher IRRs than SBOs. However, after performing a matched comparison adjusting for size and holding period differences, which are two well-known pitfalls of IRR rank orders, our findings suggest that there is no systematic outperformance of SBOs against their PBO comparables. Finally, we analyse differences in operating performance between PBOs and SBOs. Our results do not indicate a significant difference, either based on the back-to-back sample or when comparing PBOs and SBOs against matched public peers. In the light of our findings, we advocate for a reevaluation of the current perception of SBOs. Rather than being dismissed as “second-hand” opportunities, they should be recognised as “second-generation” opportunities deserving closer consideration.
Investigation of the solar activity and QBO effects on the near-space environment
Authors: Li Bo , Cui Ruifei , Weng Libin 
Published: December 2024

AbstractBased on the wavelet method, we investigate the solar activity and quasi-biennial oscillation (QBO) signals in the near-space environment by using the modern-era retrospective analysis for research and applications, version-2 data and sounding of the atmosphere using broadband emission radiometry (SABER) onboard the thermosphere, ionosphere, mesosphere energetics, and dynamics satellite (TIMED/SABER). The results indicate that the annual variation mainly dominates from stratosphere to mesosphere at middle latitudes, which is more significant and stable in the southern hemisphere. Moreover, the temperature of top near space is affected by the solar activity, and it can vary over 5 K inner one solar cycle. The QBO signal is obviously seen in the stratospheric zonal wind and temperature, which is obviously existed only at a narrow latitude band between 10°S and 10°N, and its altitude range above the equator region is 20–40 km, while it turns to be 20–30 km over 10°S and 10°N, but seemly not existed in the mesosphere. Generally, our results would help to understand the influence of solar activity and QBO.
Comparing contested sustainabilities: how diverse human–nature relationships give rise to different approaches to sustainability
Authors: Nielsen Pernille , Christensen Andreas Aa. , Bolwig Simon 
Published: December 2024

Abstract
Despite increasing acknowledgement of the diversity and different approaches at play in research on sustainability transitions, systematic comparisons of these approaches are scarce. This is a problem for sustainability research, as the coexistence of multiple approaches to sustainability in the absence of an overarching comparative vocabulary may result in disparate and potentially incommensurable assumptions affecting the analysis, implementation, and impact of sustainability transitions. By means of a review and conceptual investigation, we develop a conceptual model for comparing multiple and diverse sustainability approaches. Investigating both the descriptive (stationary) and actionable elements of sustainability, we create a comparative space based on distinguishable parameters shared among sampled sustainability approaches as empirical literature-based units: (1) from instrumentalist to intrinsic valuations of nature; and (2) from holistic to particularistic system considerations. Using a vector-based method to represent a sustainability approach, we systematically compare various perceptions of sustainability problems and solutions, thereby allowing us to characterize different movements towards imagined sustainable futures.
Usefulness of a new anthropomorphic phantom simulating the chest and abdomen regions in PET tests
Authors: Sagara Hiroaki , Inoue Kazumasa , Mano Chikara , Kajiwara Hironori , Nagai Yuichi , Fujii Hirofumi , Inaki Anri 
Published: December 2024

Abstract

Objective
To investigate the clinical utility of a new anthropomorphic phantom that reproduces the chest and abdomen better than the conventional National Electrical Manufacturers Association (NEMA) body phantom, count rates and image quality of PET images obtained from patients were evaluated.

Methods
Anthropomorphic phantoms were used to include radioactivity in the lung, liver, kidney, and background regions. Two NEMA body phantoms were used for chest and abdominal assessments. The cross calibration factor (CCF) cylinder phantom was also used to reproduce the distribution of radioactivity outside the field of view, simulating the patient brain. Four types of phantoms were used in the PET imaging experiment, and for each phantom, the prompt coincidence count rates, random coincidence count rates, true + scatter coincidence count rates, and single photon count rates were measured. Then, these count rates were compared with count rates from actual clinical data. PET image quality assessment was done using the parameters, noise equivalent count patient (NECpatient), noise equivalent count density (NECdensity), and liver signal-to-noise ratio (SNR).

Results
Random coincidence count rates showed that the data obtained from each phantom were in good agreement with the clinical data. True + scatter coincidence count rates had better agreement with clinical data when measured for anthropomorphic phantoms than for the NEMA body phantoms. Furthermore, when the CCF Cylinder phantom simulating the brain was placed outside the imaging field of view, the results were closer to the clinical data. PET image quality was 1.4% higher for NECpatient obtained from anthropomorphic phantoms compared to the mean obtained from clinical data. NECdensity was 15.0% lower than the mean value obtained from clinical data. Liver SNR was 14.8% higher in PET images reconstructed using the 3D-ordered subsets expectation maximization (OSEM) method. It was 10.0% lower in PET images reconstructed with the image reconstruction method Q.Clear (GE Healthcare) using the Bayesian penalized likelihood (BPL) method.

Conclusion
The new anthropomorphic phantom was more consistent with the count rates obtained from clinical data than the conventional NEMA body phantoms were and it was able to better simulate the distribution of radioactivity concentrations in the patients by reproducing the distribution of radioactivity concentrations outside the field of view.
A New Approach to the Interpretation of Geotourism Texts
Authors: Li Qiang Jason , Dai David Wei , Ng Young 
Published: December 2024

AbstractThe importance given to geotourism reflects public awareness of the urgency of environmental conservation that includes geomorphological, ecological, and cultural knowledge. The recent growth of geotourism has increased the demand for high-quality geotourism interpretation to ensure accurate data communication. Nonetheless, the lack of systematic theoretical guidance has meant interpreters frequently resort to haphazard and ineffective interpretation strategies. Therefore, to enhance interpretation, (Geoheritage 14:1-24, 2022b, Geoheritage 14:1-20, 2022c and J Sustain Tourism 2024) established the Semantic, Style and Cultural (SSC) equivalence Model and the taxonomy of geotourism interpretation strategies (hereafter, Taxonomy) based on a corpus-based method and the theoretical framework of Hu’s (Perspectives 11:283-291, 2003) Eco-Translatology. Since this research is so recent it remains untested in the field. This paper aims to evaluate the effectiveness of these models using new geotourism data concerning Abiotic, Biotic and Cultural elements from three Chinese UNESCO Global Geoparks (UGGps)—Fangshan, Xiangxi, and Mount Kunlun, the corpus-based method and Eco-Translatology. Quantitative and qualitative analysis findings support the validity of both the SSC Model and the Taxonomy. Firstly, we found that most of the geotourism interpretation strategies employed to interpret geodata were derived from the Taxonomy in alignment with principles of Eco-Translatology to attain the SSC equivalence. Secondly, with the new data, we were able to find usage patterns that were previously missing in Li et al.’s (Geoheritage 14:1-24, 2022b; J Sustain Tourism 2024) Taxonomy. Thirdly, we identified a completely new strategy used in interpreting geological processes. Finally, this paper further illustrated how potentially ineffective geotourism interpretations can be optimised by effective interpretation strategies from Li et al.’s Taxonomy (Geoheritage 14:1-24, 2022b; J Sustain Tourism 2024 to achieve SSC equivalence.