bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are volcanic melts less viscous than we thought? The case of Stromboli basalt
Authors: Valdivia Pedro , Zandonà Alessio , Kurnosov Alexander , Ballaran Tiziana Boffa , Deubener Joachim , Di Genova Danilo 
Published: June 2023

AbstractMelt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized.
Genetic risk factors of Alzheimer’s Disease disrupt resting-state functional connectivity in cognitively intact young individuals
Authors: Kucikova Ludmila , Zeng Jianmin , Muñoz-Neira Carlos , Muniz-Terrera Graciela , Huang Weijie , Gregory Sarah , Ritchie Craig , O’Brien John , Su Li 
Published: June 2023

Abstract
Background
Past evidence shows that changes in functional brain connectivity in multiple resting-state networks occur in cognitively healthy individuals who have non-modifiable risk factors for Alzheimer’s Disease. Here, we aimed to investigate how those changes differ in early adulthood and how they might relate to cognition.

Methods
We investigated the effects of genetic risk factors of AD, namely APOEe4 and MAPTA alleles, on resting-state functional connectivity in a cohort of 129 cognitively intact young adults (aged 17–22 years). We used Independent Component Analysis to identify networks of interest, and Gaussian Random Field Theory to compare connectivity between groups. Seed-based analysis was used to quantify inter-regional connectivity strength from the clusters that exhibited significant between-group differences. To investigate the relationship with cognition, we correlated the connectivity and the performance on the Stroop task.

Results
The analysis revealed a decrease in functional connectivity in the Default Mode Network (DMN) in both APOEe4 carriers and MAPTA carriers in comparison with non-carriers. APOEe4 carriers showed decreased connectivity in the right angular gyrus (size = 246, p-FDR = 0.0079), which was correlated with poorer performance on the Stroop task. MAPTA carriers showed decreased connectivity in the left middle temporal gyrus (size = 546, p-FDR = 0.0001). In addition, we found that only MAPTA carriers had a decreased connectivity between the DMN and multiple other brain regions.

Conclusions
Our findings indicate that APOEe4 and MAPTA alleles modulate brain functional connectivity in the brain regions within the DMN in cognitively intact young adults. APOEe4 carriers also showed a link between connectivity and cognition.
Parasites, depredators, and limited resources as potential drivers of winter mortality of feral honeybee colonies in German forests
Authors: Kohl Patrick L. , Rutschmann Benjamin , Sikora Luis G. , Wimmer Norbert , Zahner Volker , D’Alvise Paul , Hasselmann Martin , Steffan-Dewenter Ingolf 
Published: June 2023

AbstractWild honeybees (Apis mellifera) are considered extinct in most parts of Europe. The likely causes of their decline include increased parasite burden, lack of high-quality nesting sites and associated depredation pressure, and food scarcity. In Germany, feral honeybees still colonize managed forests, but their survival rate is too low to maintain viable populations. Based on colony observations collected during a monitoring study, data on parasite prevalence, experiments on nest depredation, and analyses of land cover maps, we explored whether parasite pressure, depredation or expected landscape-level food availability explain feral colony winter mortality. Considering the colony-level occurrence of 18 microparasites in the previous summer, colonies that died did not have a higher parasite burden than colonies that survived. Camera traps installed at cavity trees revealed that four woodpecker species, great tits, and pine martens act as nest depredators. In a depredator exclusion experiment, the winter survival rate of colonies in cavities with protected entrances was 50% higher than that of colonies with unmanipulated entrances. Landscapes surrounding surviving colonies contained on average 6.4 percentage points more cropland than landscapes surrounding dying colonies, with cropland being known to disproportionately provide forage for bees in our study system. We conclude that the lack of spacious but well-protected nesting cavities and the shortage of food are currently more important than parasites in limiting populations of wild-living honeybees in German forests. Increasing the density and diversity of large tree cavities and promoting bee forage plants in forests will probably promote wild-living honeybees despite parasite pressure.
Global analysis of seasonal changes in trematode infection levels reveals weak and variable link to temperature
Authors: Paterson Rachel A. , Poulin Robert , Selbach Christian 
Published: June 2023

AbstractSeasonal changes in environmental conditions drive phenology, i.e., the annual timing of biological events ranging from the individual to the ecosystem. Phenological patterns and successional abundance cycles have been particularly well studied in temperate freshwater systems, showing strong and predictable synchrony with seasonal changes. However, seasonal successional changes in the abundance of parasites or their infection levels in aquatic hosts have not yet been shown to follow universal patterns. Here, using a compilation of several hundred estimates of spring-to-summer changes in infection by trematodes in their intermediate and definitive hosts, spanning multiple species and habitats, we test for general patterns of seasonal (temperature) driven changes in infection levels. The data include almost as many decreases in infection levels from spring to summer as there are increases, across different host types. Our results reveal that the magnitude of the spring-to-summer change in temperature had a weak positive effect on the concurrent change in prevalence of infection in first intermediate hosts, but no effect on the change in prevalence or abundance of infection in second intermediate or definitive hosts. This was true across habitat types and host taxa, indicating no universal effect of seasonal temperature increase on trematode infections. This surprising variation across systems suggests a predominance of idiosyncratic and species-specific responses in trematode infection levels, at odds with any clear phenological or successional pattern. We discuss possible reasons for the minimal and variable effect of seasonal temperature regimes, and emphasise the challenges this poses for predicting ecosystem responses to future climate change.
Contagious McKean–Vlasov systems with heterogeneous impact and exposure
Authors: Feinstein Zachary , Søjmark Andreas 
Published: June 2023

AbstractWe introduce a particular heterogeneous formulation of a class of contagious McKean–Vlasov systems, whose inherent heterogeneity comes from asymmetric interactions with a natural and highly tractable structure. It is shown that this formulation characterises the limit points of a finite particle system, deriving from a balance-sheet-based model of solvency contagion in interbank markets, where banks have heterogeneous exposure to and impact on the distress within the system. We also provide a simple result on global uniqueness for the full problem with common noise under a smallness condition on the strength of interactions, and we show that in the problem without common noise, there is a unique differentiable solution up to an explosion time. Finally, we discuss an intuitive and consistent way of specifying how the system should jump to resolve an instability when the contagious pressures become too large. This is known to happen even in the homogeneous version of the problem, where jumps are specified by a ‘physical’ notion of solution, but no such notion currently exists for a heterogeneous formulation of the system.
Climate policy must account for community-specific socio-economic, health, and biophysical conditions—evidence from coastal Alaska
Authors: Schwoerer Tobias , Berry Kevin , Rasmus Stacy M. , Joe Jorene Panigguaq , Naneng Nuyaq William , Ravens Thomas M. 
Published: June 2023

AbstractClimate warming, sea level rise, and extreme weather events are creating intensifying and more frequent hazards for human populations inhabiting the coast. In Alaska’s remote coastal communities, flooding and erosion are rapidly increasing due to the combined effect of sea level rise, more frequent storm surges, and increasingly powerful wave action from lack of sea ice. This paper presents survey results documenting socio-economic and psychological livelihood impacts and relocation preferences as reported by residents of a remote coastal Indigenous community. We quantified direct costs of lost or damaged private property, affected community infrastructure, and interruption of public services and found that the resulting financial hardship adds to existing economic challenges and climate stressors. Findings underline a community-level preoccupation with coastal climate threats that manifests primarily in intrusive and distressing thoughts of consequences from storms and other destructive climatic events. We highlight the need to monitor more broadly livelihood impacts to inform the design of innovative risk management tools to moderate financial hardship and strengthen community-driven action. We conclude that new policy responding to the needs of remote Indigenous communities affected by repetitive environmental disasters needs to account for a complex array of community and culture-specific socio-economic, health, and biophysical factors that require frequent co-produced assessments to capture rapidly changing conditions at the local scale.
Who Cares About Data? Ambivalence, Translation, and Attentiveness in Asylum Casework
Authors: Nielsen Trine Rask , Menendez-Blanco Maria , Møller Naja Holten 
Published: June 2023

Abstract
Scholars across Computer-Supported Cooperative Work (CSCW) increasingly focus on the topic of care when investigating data-driven technologies in contexts of re-humanizing technology design and usage. Previous studies have shown how care work eludes complex bureaucratic systems shaped by data, digitalization, and a restrictive political agenda. This research aims to understand how asylum stakeholders enact care as an aspect of asylum casework, while navigating what is largely acknowledged by NGOs, nation states, and the EU to be a broken asylum system (von der Leyen). We investigate care as a relational aspect of casework in which knowledge and technology of the implicated caseworker and asylum seeker are attuned to one another in a way that takes the unaccountable into account (following Mol 2010). We add to studies of care in CSCW by empirically expanding the research sites of care and data work. In this multi-sited ethnographically informed study, we conducted interviews (n = 19) and 160 h of observational studies amongst: 1) Danish Red Cross care workers; 2) Danish Refugee Council legal counsellors; and 3) Danish Immigration Service case officers. We contribute empirically grounded insights into the meanings of care in a datafied asylum context. We find that care is enacted by caseworkers in moments of ambivalence, translation, and attentiveness to “new substantial information” relevant for asylum decision-making. We find that these relational aspects of care in asylum casework impact the production of data about the asylum seeker. We end with a discussion of how a care perspective increases our sensitivity as CSCW researchers towards understanding the conditions for producing quality data and documentation in casework.
Comment on the paper “Analyzing the effect of dynamic properties of materials and operating medium on sensor parameters to increase the performance of diaphragmbased static/dynamic pressure sensors, Timuçin Emre Tabaru, Şekip Esat Hayber, Journal of Computational Electronics, 2021, 20:643–657”
Authors: Pantokratoras Asterios 
Published: June 2023

AbstractSome errors exist in the above paper.
Multimodal preference heterogeneity in choice-based conjoint analysis: a simulation study
Authors: Goeken Nils , Kurz Peter , Steiner Winfried J. 
Published: June 2023

AbstractThe most commonly used variant of conjoint analysis is choice-based conjoint (CBC). Here, hierarchical Bayesian (HB) multinomial logit (MNL) models are widely used for preference estimation at the individual respondent level. A new and very flexible approach to address multimodal and skewed preference heterogeneity in the context of CBC is the Dirichlet Process Mixture (DPM) MNL model. The number and masses of components do not have to be predisposed like in the latent class (LC) MNL model or in the mixture-of-normals (MoN) MNL model. The aim of this Monte Carlo study is to evaluate the performance of Bayesian choice models (basic MNL, HB-MNL, MoN-MNL, LC-MNL and DPM-MNL models) under varying data conditions (especially under multimodal heterogeneity structures) using statistical criteria for parameter recovery, goodness-of-fit and predictive accuracy. The core finding from this Monte Carlo study is that the standard HB-MNL model appears to be highly robust in multimodal preference settings.
Senses of injustices-in-place: nature’s voice through Melbourne’s environmental stewards
Authors: Pineda-Pinto Melissa , Frantzeskaki Niki , Raymond Christopher M. 
Published: June 2023

AbstractEcological injustices are systemic acts and processes of misrepresentation, misrecognition, maldistribution of impacts, and destruction of fundamental capabilities, to both human and nonhuman living beings. Unpacking these context-specific injustices requires in-depth explorations of people and their experiences, perceptions, types of knowledge, actions, and relations to, for, and with nonhuman beings and their capacities. To explore these injustices-in-place, we used embedded case studies within Metropolitan Melbourne, Australia, and examined the data with the self–others–environment sense of place framework to uncover people’s understandings of ecological (in)justices. The findings reveal a sense of disempowerment, conflated by unrecognized environmental work, a disconnect between different groups and levels of society, and the anonymity of the nonhuman others. Through a contested self–others–environment lens, place meanings in the study sites show different ways of valuing nature, which is conveyed in the types of actions, stewardship behaviors, and attachment to place. This analysis introduces a new concept of ‘ecological injustice’ that bridges the sense of place and justice by visibilizing the senses of anonymity, collectivity, reciprocal nurturing, and contestation that unfold across human–nonhuman interactions. We discuss strategies to prevent and restore ecological injustices, which include building capacity through knowledge exchange, improved funding and governance mechanisms, raising social–ecological awareness, and finding ways to populate our cities with environmental stewards that can help to deanonymize and make the needs of the nonhuman others visible.
Geometric Morphometric Analysis of Ocular Patterns as a Species Identifier in the South African Endemic Trapdoor Spider Genus Stasimopus Simon, 1892 (Araneae, Mygalomorphae, Stasimopidae)
Authors: Brandt Shannon , Sole Catherine , Lyle Robin , Pirk Christian 
Published: June 2023

AbstractThe identification of Stasimopus Simon, 1892 species as well as mygalomorph species has been a long-standing challenge. This is due to their conservative morphologies as well as the lack of quantifiable characters. Ocular patterns have historically been used to aid in identification, but have largely been vague and subjective. This study was the first to test for phylogenetic signal in this character to validate its use for species identification and description as well as to test the viability of it in morphospecies and species identification. The results show significant phylogenetic signal for ocular patterns in both sexes, validating its use. The results display the evolutionary change in ocular patterns across various species. Species and morphospecies show distinct clustering in morphospace, but there is overlap due to the continuous shape of the character. The methodology of applying geometric morphometrics to quantify ocular patterns can distinguish between morphospecies and shows great promise for distinguishing species.
Biomarker heatmaps: visualization of complex biomarker data to detect storm-induced source changes in fluvial particulate organic carbon
Authors: Kim Jieun , Blair Neal E. 
Published: June 2023

AbstractFluvial particulate organic carbon (POC) is a complex mixture that undergoes rapid and complicated shifts in source during storm events. High-temporal resolution sampling and source-sensitive chemical analyses, such as those for organic geochemical biomarkers, are necessary to investigate the dynamic POC source behaviour during storm events. However, experimental designs that accommodate those requirements inevitably yield large datasets that require a new data analysis approach. Here, we adapt one of the widely used data visualization techniques, heatmaps with clustering analysis, to seek patterns in source mobilization and transition and pinpoint their timing during storm events more effectively and intuitively. Biomarker concentration data are scaled and used to construct a biomarker heatmap using the ComplexHeatmap package in R. Hierarchical clustering is performed to reorder the biomarkers based on (dis)similarities in their concentration fluctuations during storm events. We implemented our approach to visualize our high-frequency biomarker data obtained from storm POC samples collected in the well-characterized field site of Clear Creek, Iowa. The results demonstrated clear sequential source changes from algal and microbial OC to vascular plants- and soil-rich OC during the event, with an additional source transition identified within the vascular plant biomarkers. The sensitivity analyses results showed that the additional source transition was lost as the temporal resolution of sampling was reduced to 25% of the original data. The sensitivity of the identified clustering to varying scaling methods and number of biomarkers was also examined. Comparison with principal component analysis (PCA) showed that the biomarker heatmap performed better in visualizing temporal changes of individual biomarkers. This biomarker heatmap approach will help scientists to understand the complex storm-induced POC source changes by offering a new perspective to explore the data and generate hypotheses to be tested in follow-up analyses.
Lateral dipole moments induced by all-cis-pentafluorocyclohexyl groups cause unanticipated effects in self-assembled monolayers
Authors: Fischer Christian , Das Saunak , Zhang Qingzhi , Liu Yangbiao , Weinhardt Lothar , O’Hagan David , Zharnikov Michael , Terfort Andreas 
Published: June 2023

AbstractAll-cis-hexafluoro- and all-cis-pentafluoro-cyclohexane (PFCH) derivatives are new kinds of materials, the structures and properties of which are dominated by the highly dipolar Janus-face motif. Here, we report on the effects of integrating the PFCH groups into self-assembled monolayers (SAMs) of alkanethiolates on Au(111). Monolayers with an odd (eleven) and even (twelve) number of methylene groups were characterized in detail by several complementary experimental tools, supported by theoretical calculations. Surprisingly, all the data show a high similarity of both kinds of monolayers, nearly lacking the typically observed odd-even effects. These new monolayers have a packing density about 1/3 lower than that of non-substituted alkanethiolate monolayers, caused by the bulkiness of the PFCH moieties. The orientations of the PFCH groups and the alkyl chains could be determined independently, suggesting a conformation similar to the one found in the solid state structure of an analogous compound. Although in the SAMs the PFCH groups are slightly tilted away from the surface normal with the axial fluorine atoms pointing downwards, most of the dipole moments of the group remain oriented parallel to the surface, which is a unique feature for a SAM system. The consequences are much lower water contact angles compared to other partly fluorinated SAMs as well as rather moderate work function values. The interaction between the terminal PFCH moieties results in an enhanced stability of the PFCH-decorated SAMs toward exchange reaction with potential molecular substituents in spite of the lower packing density of these films.
Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin
Authors: Shekar Padala Raja , Mathew Aneesh , Abdo Hazem Ghassan , Almohamad Hussein , Abdullah Al Dughairi Ahmed , Al-Mutiry Motrih 
Published: June 2023

AbstractThe hydrological availability and scarcity of water can be affected by geomorphological processes occurring within a watershed. Hence, it is crucial to perform a quantitative evaluation of the watershed’s geometry to determine the impact of such processes on its hydrology. Geographic information systems (GIS) and remote sensing (RS) techniques have become increasingly significant because they enable decision-makers and strategists to make accurate and efficient decisions. To prioritize sub-watersheds within the Wyra watershed, this research employs two methods: morphometric analysis and hypsometric analysis. The watershed was divided into eleven sub-watersheds (SWs). The prioritization of sub-watersheds in the Wyra watershed involved assessing several morphometric parameters, such as relief, linear, and areal features, for each sub-watershed. Furthermore, the importance of the sub-watersheds was determined by computing hypsometric integral (HI) values using the elevation–relief ratio method. The final prioritization of sub-watersheds based on morphometric analysis was determined through the integration of principal component analysis (PCA) and weighted sum approach (WSA). SW2 and SW9 have had higher priorities using morphometric analysis, whereas SW6, SW7, and SW10 have obtained higher priorities using hypsometric analysis. SW4 is the most common SW that shares the same priority. The most vulnerable sub-watersheds are those with the highest priority, and therefore, programmes for soil and water conservation should pay more attention to them. The conclusions of the study may prove useful to various stakeholders involved in initiatives related to watershed development and management.