bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Neurofunctional Correlates of Morphosyntactic and Thematic Impairments in Aphasia: A Systematic Review and Meta-analysis
Authors: Beber Sabrina , Bontempi Giorgia , Miceli Gabriele , Tettamanti Marco 
Published: August 2024

AbstractLesion-symptom studies in persons with aphasia showed that left temporoparietal damage, but surprisingly not prefrontal damage, correlates with impaired ability to process thematic roles in the comprehension of semantically reversible sentences (The child is hugged by the mother). This result has led to challenge the time-honored view that left prefrontal regions are critical for sentence comprehension. However, most studies focused on thematic role assignment and failed to consider morphosyntactic processes that are also critical for sentence processing. We reviewed and meta-analyzed lesion-symptom studies on the neurofunctional correlates of thematic role assignment and morphosyntactic processing in comprehension and production in persons with aphasia. Following the PRISMA checklist, we selected 43 papers for the review and 27 for the meta-analysis, identifying a set of potential bias risks. Both the review and the meta-analysis confirmed the correlation between thematic role processing and temporoparietal regions but also clearly showed the involvement of prefrontal regions in sentence processing. Exploratory meta-analyses suggested that both thematic role and morphosyntactic processing correlate with left prefrontal and temporoparietal regions, that morphosyntactic processing correlates with prefrontal structures more than with temporoparietal regions, and that thematic role assignment displays the opposite trend. We discuss current limitations in the literature and propose a set of recommendations for clarifying unresolved issues.
The Coase Conjecture When the Monopolist and Customers have Different Discount Rates
Authors: Groseclose Tim 
Published: August 2024

AbstractOne of the most famous and outstanding formalizations of the Coase Conjecture is by Gul et al. (J Econ Theory 39(1):155–190, 1986. https://doi.org/10.1016/0022-0531(86)90024-4) peculiarity of their model—as well as nearly all other examinations of the Coase Conjecture, including that by Coase himself—is that it assumes that the monopolist and customers have the same discount rate. I re-examine their model, while relaxing this restriction. Gul et. al. show that, if the (common) discount rate of the monopolist and customers approaches one, then the Coase Conjecture follows. I show that one only needs the discount rate of the customers to approach one for this to be true. I also show a second result: If the customers’ discount rate is fixed at a value less than one, while the monopolist’s discount rate approaches one, then the Coase Conjecture is guaranteed not to follow.
Randomization advice and ambiguity aversion
Authors: Kuzmics Christoph , Rogers Brian W. , Zhang Xiannong 
Published: August 2024

AbstractWe design and implement lab experiments to evaluate the normative appeal of behavior arising from models of ambiguity-averse preferences. We report two main empirical findings. First, we demonstrate that behavior reflects an incomplete understanding of the problem, providing evidence that subjects do not act on the basis of preferences alone. Second, additional clarification of the decision making environment pushes subjects’ choices in the direction of ambiguity aversion models, regardless of whether or not the choices are also consistent with subjective expected utility, supporting the position that subjects find such behavior normatively appealing.
Modelling landscape-scale occurrences of common grassland species in a topographically complex mountainous environment
Authors: Sieben E. J. J. , Steenhuisen S. , Vidal J. D. , Martin G. , le Roux P. C. 
Published: August 2024

AbstractMountainous regions typically harbour high plant diversity but are also characterised by low sampling intensity. Coarse-scale species distribution models can provide insights into the distribution of poorly sampled species, but the required bioclimatic data are often limited in these landscapes. In comparison, several environmental factors that vary over relatively fine scales in mountain environments (e.g. measures of topography) can be quantified from remotely-sensed data, and can potentially provide direct and indirect measures of biologically-relevant habitat characteristics in mountains. Therefore, in this study, we combine field-sampled floristic data with environmental predictors derived from remotely-sensed data, to model the ecological niches of 19 montane plant species in the Maloti-Drakensberg mountains, South Africa. The resulting models varied considerably in their performance, and species showed generally inconsistent responses to environmental predictors, with altitude and distance to watershed being most frequently included in models. These results highlight the species-specificity of the forb species’ environmental tolerances and requirements, suggesting that environmental change may result in re-shuffling of community composition, instead of intact communities shifting along gradients. Furthermore, while the relatively high importance of altitude (a proxy for temperature) and topographic wetness index (a proxy for soil moisture) suggest that the flora of this region will be sensitive to shifts in temperature and rainfall patterns, several non-climatic environmental variables were also influential. Our findings indicate that local response to climate change in mountains might be especially constrained by soil type and topographic variables, supporting the important influence of non-climatic factors in microclimatic refugia dynamics.
Differences in wayfinding inclinations among women and men: a matter of personality and affect, not just gender
Authors: Muffato Veronica , Miola Laura , Pazzaglia Francesca , Meneghetti Chiara 
Published: August 2024

AbstractWomen report different levels of wayfinding inclinations than men. This study is an exploration of whether individual factors such as personality traits and affect can provide insights into the gender differences observed in wayfinding inclinations, such as in the attitudes toward exploring and spatial anxiety. The study involved 454 adults (271 women) who completed questionnaires on personality traits, affective state, attitudes toward exploring and spatial anxiety. Women reported lower positive attitudes toward exploring and higher spatial anxiety than men. Openness and positive affect were associated with positive attitudes toward exploring places in both genders whereas extraversion was associated with attitudes toward exploring places among men. Higher levels of extraversion were linked to lower spatial anxiety in both genders, higher levels of negative affect were associated with greater spatial anxiety among men, and lower levels of emotional stability were associated with greater spatial anxiety among women. Therefore, gender does not play a singular role in explaining differences in self-reported wayfinding inclinations. Instead, negative affect (at least for men) and low emotional stability (at least among women) tend to hinder such inclinations whereas openness and positive affect contribute to their promotion. These results provide insights into how the patterns of relationships among wayfinding inclinations, personality traits, and affect vary between men and women, with possible implications for assessment and intervention.
Transforming higher education: a decade of integrating wikipedia and wikidata for literacy enhancement and social impact
Authors: Evenstein Sigalov Shani , Cohen Anat , Nachmias Rafi 
Published: August 2024

AbstractThis study examines a decade-long implementation of a course model leveraging Wikipedia and Wikidata as primary educational platforms in higher education. In alignment with the UNs’ SDG 4, this initiative emphasized inclusive, equitable education and lifelong learning opportunities. The study scrutinizes the formulation and deployment of three elective courses, rooted in this model, which were designed to augment students’ academic, digital, collaborative, and communication skills through the creation of Open Educational Resources (OERs), achieving significant social impact—evidenced by over 2000 new and 7000 edited articles, accruing 75 million public views. The research addresses three principal areas: the development and application of the model; course outcomes, including OERs produced, academic achievements, and students’ learning experiences; perceived challenges and benefits from the perspective of both students and faculty. A mixed-methods approach was employed to examine data from 17 iterations, involving 616 participants. Students’ learning experience was extracted from post-course questionnaires completed by 70% (n = 429). Findings demonstrate the role of Wikipedia and Wikidata in fostering knowledge creation, digital and data literacies and critical thinking, with the research contributing to the conversation surrounding Open Educational Practices. Findings include details on incorporating issues of diversity, equity, inclusion (DEI) and knowledge gaps into the curriculum design, and map challenges and benefit for students and faculty. This extensive study offers valuable insights into the effectiveness of embedding OERs in higher education, spotlighting the pedagogical implications and social impact of this approach. It discusses the relevance of this educational strategy in the context of Generative AI technologies.
Local means-based fuzzy k-nearest neighbor classifier with Minkowski distance and relevance-complementarity feature weighting
Authors: Mailagaha Kumbure Mahinda , Luukka Pasi 
Published: August 2024

AbstractThis paper introduces an enhanced fuzzy k-nearest neighbor (FKNN) approach called the feature-weighted Minkowski distance and local means-based fuzzy k-nearest neighbor (FWM-LMFKNN). This method improves classification accuracy by incorporating feature weights, Minkowski distance, and class representative local mean vectors. The feature weighting process is developed based on feature relevance and complementarity. We improve the distance calculations between instances by utilizing feature information-based weighting and Minkowski distance, resulting in a more precise set of nearest neighbors. Furthermore, the FWM-LMFKNN classifier considers the local structure of class subsets by using local mean vectors instead of individual neighbors, which improves its classification performance. Empirical results using twenty different real-world data sets demonstrate that the proposed method achieves statistically significantly higher classification performance than traditional KNN, FKNN, and six other related state-of-the-art methods.
Sustainable Construction Exploration: A Review of Multi-Recycling of Concrete Waste
Authors: Kim Jeonghyun 
Published: August 2024

AbstractThis paper provides an overview of literature on the multiple-time recycling of concrete waste and meticulously analyzes the research findings. The paper begins by reviewing the characteristics of recycled materials such as recycled coarse aggregate, recycled fine aggregate, and recycled powder obtained from concrete waste in relation to the recycling cycle. The influence of each of these materials on the mechanical properties and durability of next-generation concrete is analyzed. Moreover, this paper introduces strategies reported in the literature that aim to enhance the performance of multi-recycled concrete. Lastly, this paper identifies and highlights limitations and research gaps, while providing insightful recommendations to drive future exploration of multi-recycling of concrete.
Graphical Abstract
An Assessment of Explosive and Fire Risks from Fighter Jet Collision with Aircraft Carrier
Authors: Choi Yeeryung , Kim Seongik , Kwon Seung Lee , Baeg Daeyu , Seo Jungkwan , Kim Jeonghwan , Yun Gun Jin 
Published: August 2024

AbstractThis paper presents a framework for evaluating the risk of fire and explosion resulting from potential collisions between fighter jets and aircraft carriers. An event tree is a chronological order of risk issues that may arise from an initial event. This study creates an initial crash scenario based on actual accident cases and risk issues, which are event tree items. Using these scenarios, collision analysis is conducted utilizing finite element analysis to investigate the structural response. It allows us to identify potential fuel leakage and assess whether the collision impact is potent enough to activate the fuze of any onboard weaponry. Consequently, a series of fire analyses pertinent to the respective situations is executed. These analyses aim to discern whether hazardous conditions such as secondary fires or explosions will likely ensue post-collision. By simulating a possible collision scenario between a fighter jet and a flight deck, the proposed method systematically explores and understands the probability and consequences of fire and explosion events following such collisions.
MEMPSEP‐III. A Machine Learning‐Oriented Multivariate Data Set for Forecasting the Occurrence and Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach
Authors: Moreland Kimberly , Dayeh Maher A. , Bain Hazel M. , Chatterjee Subhamoy , Muñoz‐Jaramillo Andrés , Hart Samuel T. 
Published: August 2024

AbstractWe introduce a new multivariate data set that utilizes multiple spacecraft collecting in‐situ and remote sensing heliospheric measurements shown to be linked to physical processes responsible for generating solar energetic particles (SEPs). Using the Geostationary Operational Environmental Satellites (GOES) flare event list from Solar Cycle (SC) 23 and part of SC 24 (1998–2013), we identify 252 solar events (>C‐class flares) that produce SEPs and 17,542 events that do not. For each identified event, we acquire the local plasma properties at 1 au, such as energetic proton and electron data, upstream solar wind conditions, and the interplanetary magnetic field vector quantities using various instruments onboard GOES and the Advanced Composition Explorer spacecraft. We also collect remote sensing data from instruments onboard the Solar Dynamic Observatory, Solar and Heliospheric Observatory, and the Wind solar radio instrument WAVES. The data set is designed to allow for variations of the inputs and feature sets for machine learning (ML) in heliophysics and has a specific purpose for forecasting the occurrence of SEP events and their subsequent properties. This paper describes a data set created from multiple publicly available observation sources that is validated, cleaned, and carefully curated for our ML pipeline. The data set has been used to drive the newly‐developed Multivariate Ensemble of Models for Probabilistic Forecast of SEPs (MEMPSEP; see MEMPSEP‐I (Chatterjee et al., 2024, https://doi.org/10.1029/2023SW003568) and MEMPSEP‐II (Dayeh et al., 2024, https://doi.org/10.1029/2023SW003697) for accompanying papers).
Detachment and Transfer Fault Systems in the Northern South China Sea, Insights Into 3D Tectonic Segmentation of Rifted Margins
Authors: Hao Shihao , Mei Lianfu , Zheng Jinyun , Ranero César R. 
Published: August 2024

AbstractThe 2D rifting modes interpreted in traditional “magma‐poor” and “magma‐rich” margins cannot explain the crustal structure and inferred rifting processes in the northern South China Sea (SCS) rifted margin. The “intermediate‐type” terminology has been therefore applied to the mid‐northern SCS, where a “wide‐rift” model has been widely accepted. However, the tectono‐magmatic processes of the SCS are still debated and at least five contrasting models exist. We present a compilation of 3‐D seismic volumes and regional 2‐D seismic surveys covering the entire Baiyun and Liwan Sub‐basins to investigate their tectonic structure and faulting style in this “wide‐rift” region. We interpret two segments with contrasting tectonic styles separated by a volcanic lineament and steep transfer faults. The Baiyun Sub‐basin was controlled by a landward‐dipping detachment system. The Liwan Sub‐basin, however, was formed by a ∼100 km‐long oceanward‐dipping, concave‐up detachment fault working at a low angle of <10°. The lateral boundaries of the detachment system were mechanically decoupled from surrounding tectonics by a volcanic lineament/transfer zone to the west and a > 190 km‐long N‐S‐trending left‐lateral strike‐slip fault to the east. The planar low‐angle detachment does not resemble classical metamorphic core complex domes interpreted previously. Our results indicate a 60‐80 km‐wavelength segmentation within a single “wide‐rift” system, indicating complex 3D rifting during crustal extension. This study supports that the intermediate SCS margin had a kinematically complex deformation style locally dominated by the interaction between detachment and transfer fault systems that might be yet unrecognized in other margins.
Enhanced Freeze‐Thaw Cycle Altered the Simulations of Groundwater Dynamics in a Heavily Irrigated Basin in the Temperate Region of China
Authors: Li Baogui , Tan Lili , Zhang Xueliang , Qi Junyu , Marek Gary W. , Feng Puyu , Liu De Li , Luo Xi , Srinivasan Raghavan , Chen Yong 
Published: August 2024

AbstractWith intensified global warming, accurate quantification of hydrological processes in seasonally frozen regions, particularly with irrigated overwinter crops, is necessary to develop management strategies that promote groundwater conservation. By incorporating a physically based freeze‐thaw cycle module into the Soil and Water Assessment Tool (SWAT‐FT) model, variations of surface hydrology and groundwater dynamics were systematically assessed in North China Plain under three Shared Socioeconomic Pathways during 2041–2070 and 2071–2100 periods between the conventional and improved SWAT models. Compared to the conventional SWAT model, the SWAT‐FT model predicted an increase in soil water content, decrease in irrigation, and an increase in percolation during the growing season of winter wheat. These discrepancies resulted in a 5% higher decline rates of shallow groundwater levels simulated by the SWAT model compared to the SWAT‐FT. Additionally, the SWAT‐FT model projected that the average decline rates of shallow groundwater levels were approximately 0.90 ± 0.16 m yr−1 (SSP1‐2.6), 0.60 ± 0.46 m yr−1 (SSP2‐4.5), and −0.17 ± 0.53 m yr−1 (SSP5‐8.5), respectively, during 2071–2100 compared to the historical period. The SWAT‐FT simulations indicated that the decline rates in shallow groundwater levels were projected to either decrease slowly or potentially increase by the end of the 21st century under the SSP5‐8.5 scenario, potentially achieving equilibrium between shallow groundwater extraction and replenishment. Our study emphasized the importance of considering the freeze‐thaw processes to evaluate groundwater variations more accurately in response to climate change effects in temperate regions with an overwinter crop.
Multi‐Instrument and SAMI3‐TIDAS Data Assimilation Analysis of Three‐Dimensional Ionospheric Electron Density Variations During the April 2024 Total Solar Eclipse
Authors: Aa Ercha , Huba Joseph , Zhang Shun‐Rong , Coster Anthea J. , Erickson Philip J. , Goncharenko Larisa P. , Vierinen Juha , Rideout William 
Published: August 2024

AbstractThis paper conducts a multi‐instrument and data assimilation analysis of the three‐dimensional ionospheric electron density responses to the total solar eclipse on 08 April 2024. The altitude‐resolved electron density variations over the continental US and adjacent regions are analyzed using the Millstone Hill incoherent scatter radar data, ionosonde observations, Swarm in situ measurements, and a novel TEC‐based ionospheric data assimilation system (TIDAS) with SAMI3 model as the background. The principal findings are summarized as follows: (a) The ionospheric hmF2 exhibited a slight enhancement in the initial phase of the eclipse, followed by a distinct reduction of 20–30 km in the recovery phase of the eclipse. The hmF2 in the umbra region showed a post‐eclipse fluctuation, characterized by wavelike perturbations of 10–25 km in magnitude and a period of 30 min. (b) There was a substantial reduction in ionospheric electron density of 20%–50% during the eclipse, with the maximum depletion observed in the F‐region around 200–250 km. The ionospheric electron density variation exhibited a significant altitude‐dependent feature, wherein the response time gradually delayed with increasing altitude. (c) The bottomside ionospheric electron density displayed an immediate reduction after local eclipse began, reaching maximum depletion 5–10 min after the maximum obscuration. In contrast, the topside ionospheric electron density showed a significantly delayed response, with maximum depletion occurring 1–2.5 hr after the peak obscuration.
Spontaneous Imbibition in Dual Permeable Media Using Dynamic Pore Network Model
Authors: Gong Wenbo , Chen Zhiqiang , Lei Wenhai , Zheng Jiangtao , Ju Yang , Wang Moran 
Published: August 2024

AbstractUnderstanding preferential flow in porous media holds substantial theoretical significance on the design and optimization of hydrocarbon exploitation in shale reservoir. Previous researches discussed the competition of imbibition front in layered porous media while the underlining mechanism for interfacial dynamics and induced displacement efficiency of multiphase flow remains ambiguous. In this paper, we investigate the spontaneous imbibition in dual permeable media and analyze the flux exchange between the neighboring porous zones with permeability contrast using dynamic pore network model. The impact of fluid viscosity ratio and permeability contrast on the spontaneous imbibition preference have been addressed, and finally a phase diagram for displacement efficiency has been obtained. The results reveal that the dual permeable structure enhances the invasion rate of wetting fluid in the low‐permeable zone and induces unstable displacement patterns, leading to reduction of the long‐term displacement efficiency. The interfacial pattern transition from stable displacement to unstable pattern in dual permeable media could be ascribed into the flux exchange between dual permeable zones, which shows a contrary impact on the fluid flow within the low‐permeable zone under favorable and unfavorable viscosity ratios. The permeability contrast in dual permeable media intensifies this impact during spontaneous imbibition. These results help us to understand the occurrence and mutual interaction of multiphase flow in layered porous media, and provide a theoretical guidance for the hydrocarbon exploitation in shale reservoir.