bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and enablers to salt intake reduction in Australian adults with high blood pressure
Authors: Khalesi Saman , Williams Edwina , Johnson David W. , Webster Jacqui , Fewings Abbie , Vandelanotte Corneel 
Published: October 2024

AbstractHigh dietary salt intake is a known risk factor for hypertension. However, Australians continue to consume excessive amounts of salt. The purpose of this study was to identify barriers, enablers and strategies to reduce salt in a sample of Australian adults with hypertension. This was a qualitative study. Participants were asked a set of open-ended questions during focus groups conducted between October 2020 and April 2021. Sessions were recorded and transcribed. Using an inductive approach, the transcript data from the focus groups were thematically analysed. This involved checking accuracy, becoming familiar with the data, coding responses based on questions, identifying themes through common patterns and validating themes by grouping similar questions that represented the data and study aim effectively. Thirty-one adults (55 % females) with high blood pressure participated in the focus group discussions. Participants demonstrated good knowledge of high blood pressure risk factors but lacked an understanding of recommended salt intake levels and sources of hidden salt. Challenges in reducing salt intake included the limited availability of low-salt commercial foods. Participants suggested improved food labelling and the use of technology-based interventions to promote healthier choices. Findings highlight the need for behavioural interventions, policy reforms and collaborations between the government, food industries and health organisations to address high salt intake in the population.
Congruence between co-occurrence and trait-based networks is scale-dependent: a case study with flea parasites of small mammalian hosts
Authors: Krasnov Boris R. , Khokhlova Irina S. , Korallo-Vinarskaya Natalya P. , Laudisoit Anne , López Berrizbeitia M. Fernanda , Matthee Sonja , Sanchez Julliana P. , Stanko Michal , van der Mesht Luther , Vinarski Maxim V. 
Published: October 2024

AbstractWe applied a novel framework based on network theory and a concept of modularity that estimates congruence between trait-based ( = functional) co-occurrence networks, thus allowing the inference of co-occurrence patterns and the determination of the predominant mechanism of community assembly. The aim was to investigate the relationships between species co-occurrence and trait similarity in flea communities at various scales (compound communities: across regions within a biogeographic realm or across sampling sites within a geographic region; component communities: across sampling sites within a geographic region; and infracommunities: within a sampling site). We found that compound communities within biogeographic realms were assembled via environmental or host-associated filtering. In contrast, functional and spatial/host-associated co-occurrence networks, at the scale of regional compound communities, mostly indicated either stochastic processes or the lack of dominance of any deterministic process. Analyses of congruence between functional and either spatial (for component communities) or host-associated (for infracommunities) co-occurrence networks demonstrated that assembly rules in these communities varied among host species. In component communities, stochastic processes prevailed, whereas environmental filtering was indicated in 4 and limiting similarity/competition in 9 of 31 communities. Limiting similarity/competition processes dominated in infracommunities, followed by stochastic mechanisms. We conclude that assembly processes in parasite communities are scale-dependent, with different mechanisms acting at different scales.
Optimisation of synchronisation control parameters for enhanced bilateral teleoperation system
Authors: Kumar Naveen , Thakur Niharika , Gupta Yogita 
Published: October 2024

AbstractBilateral teleoperation systems encounter challenges in achieving synchronisation between master and slave robots due to communication time delays. This paper addresses the instability caused by these delays and proposes a solution through advanced control algorithms. Nonlinear optimisation algorithms might only sometimes deliver solutions in the allotted time, particularly when handling complicated, high-dimensional issues or when optimisation iterations are extensive. The study first develops a comprehensive mathematical model encompassing the dynamics and communication intricacies of both master and slave sides in teleoperation. By recognising the limitations of existing proportional-derivative controllers in compensating for communication errors, a sequential quadratic programming-proportional-integral-derivative (SQP-PID) controller is introduced. This controller accumulates and rectifies synchronisation delay errors, ensuring precise control without steady-state deviations. The proposed SQP-PID controller stands out for its ability to handle steady-state errors effectively, offering swift response and maintaining stability. Leveraging the SQP optimisation algorithm, it intelligently tunes the parameters, minimising synchronisation errors. The approach capitalises on the simplicity, performance, and robustness of the SQP-PID controller, providing a promising avenue for enhancing bilateral teleoperation systems’ accuracy and stability, maintaining initial discrepancy with a best fitness value of 0.98 % in varied operating conditions.
Speaking like a ‘good student’: Norms and deviations in contemporary upper secondary education in Denmark
Authors: Larsen Anne 
Published: October 2024

AbstractBased on a linguistic ethnographic study of student–teacher classroom interactions, this article sheds light on language norms in a contemporary Danish STX school (upper secondary education, also known as gymnasiums). The analysis reveals that neither classrooms with the explicit teaching of an ‘academic register’ nor classrooms where teachers orient towards a youth norm constitute spaces where students have equal access to perform as good students. Even when students can decode and reproduce the language preferred by the teachers, they do not experience an equal opportunity to conform to this. It is argued that performing linguistically as good and competent students is more complex than just adapting to a specific school norm, as the students have to navigate different teacher’s norms as well as peer norms emphasising authenticity.
The neural mechanisms of race priming in American politics
Authors: Gonzalez Frank J. , Haas Ingrid J. 
Published: October 2024

AbstractWhat are the psychological mechanisms of racial “dog whistles” in American politics? Literature on race priming in American politics argues when race is primed implicitly, racial biases influence political evaluations, but when race is made salient, individuals can use controlled processing to inhibit automatic biases and abide by egalitarian norms. However, the neural mechanisms underlying these processes have yet to be examined directly. In a 2 × 2 within-groups experiment using functional magnetic resonance imaging, we examine these neural mechanisms. We find brain areas associated with conflict detection, evaluative processing, and controlled processing are more active when race is primed explicitly rather than implicitly, as expected, although we do not find substantial brain activation associated with automatic responses to be more active during implicit than explicit primes. Results are discussed in terms of understanding how racial cues influence political evaluations while considering America’s ever-changing racial norms.
Unpacking “Social Vulnerability” and “Equity”: Critical Insights From Stormwater Climate Adaptation Research in the US Gulf Coast
Authors: Domingue S. J. , Goto E. , Maillard L. , Harrison T. , Basaraba A. 
Published: October 2024

AbstractThis paper assesses how the concepts of social vulnerability and equity are discursively constructed in co‐production research settings with a co‐created decision support tool. The data was collected during workshops (32 communities represented) and interviews (24 communities represented) with stormwater managers and stakeholders (SMS) working in small cities, counties/parishes, and villages and towns within 100 miles of the US Gulf Coast. Findings from participant observation of workshops show that SMS express similar viewpoints regarding indicators of social vulnerability to climate‐related hazards, often defining vulnerable people as less physically mobile or as having few monetary resources. Individuals articulated “community” through a lens of homeownership and often described their relationship to residents as strained. Findings from interviews reveal divergent viewpoints on the imperative and rationale for integrating social vulnerability data into stormwater assessments and planning. Interviews also generated more critical reflection than was present in workshops regarding racial disparities in flood hazard exposure. A key insight from this article is that tools and team composition matter but there is nuance in the degree to which they matter considering a range of contextual factors. The article argues that co‐production teams must plan for alternatives and different scenarios given the messiness of co‐production in practice and that research is needed to reveal the conditions under which specific tools matter for equity in terms of both process and outcomes.
Frictional Strength and Frictional Instability of Glaucophane Gouges at Blueschist Temperatures Support Diverse Modes of Fault Slip From Slow Slip Events to Moderate‐Sized Earthquakes
Authors: An Mengke , Zhang Fengshou , Yin Zhen‐Yu , Huang Rui , Elsworth Derek , Marone Chris 
Published: October 2024

AbstractFluid overpressure from the water released by subducted sediments and oceanic crust is an important mechanism for generating earthquakes via brittle failure and frictional instability. If unstable, such fault materials may also host diverse fault reactivation mechanisms from slow slip events to moderate‐sized earthquakes in cold subduction zones. We examine this hypothesis for glaucophane gouge ‐ a key index minerals for blueschist facies ‐ at lower confining stresses where behavior is poorly understood. We measure friction and stability at temperatures of 100°C–500°C and effective normal stresses of 50–200 MPa, to explore the controls of temperature, stresses and excess pore fluid pressures on fault friction. The frictional coefficient of glaucophane at representative temperatures and stresses is ∼0.70, insensitive to temperature but with a slight increase at lower effective stresses. Elevating temperature promotes a transition from velocity‐strengthening to weak velocity‐weakening behavior, indicating the destabilizing effect of high temperature downdip in subduction zones. Reducing effective normal stress or concomitantly elevating pore fluid pressure further strengthens the velocity‐weakening response and would be manifest as moderate‐sized earthquakes. Our results support the potential for enhanced unstable sliding of glaucophane gouges at lower effective stresses and blueschist facies temperatures ‐ with weak to moderate velocity‐weakening responses upon fluid pressurization vital for understanding the abundance of slow slip to moderate‐sized earthquakes apparent in cold subduction zones.
Magnetospheric Line Radiation: Temporal Modulation Corresponding to a Bouncing Wave
Authors: Němec F. , Santolík O. , Hospodarsky G. B. , Kurth W. S. 
Published: October 2024

AbstractMagnetospheric line radiation (MLR) is a peculiar type of whistler‐mode emissions formed by several similarly spaced spectral lines, whose frequencies may vary with time. These emissions typically occur at frequencies between about 1 and 8 kHz and are observed in both ground‐based and satellite measurements. However, their origin and source locations are not yet understood, as their detection by spacecraft instruments is challenging due to the limited frequency resolution of onboard wave measurements. We use high‐resolution multicomponent wave data obtained by the Van Allen Probes to demonstrate that, in addition to the frequency modulation, MLR events possess a temporal modulation with periods on the order of seconds, which may be related to the wave bouncing between hemispheres. Observed modulation periods are used to estimate a tentative source L‐shell. The modulation periods are shorter for events with larger frequency spacing, and the estimated source L‐shells correlate with model plasmapause locations.
A Case Study of Thermospheric Exospheric Temperature Responses During the G‐Condition at Mohe and Beijing Stations
Authors: Li Shaoyang , Ren Zhipeng , Yu Tingting , Zhao Biqiang , Liu Libo , Li Guozhu , Yue Xinan , Wei Yong , Hu Lianhuan 
Published: October 2024

AbstractThe G‐condition (NmF2 ≤ NmF1) was observed by ground‐based ionosondes at Mohe and Beijing during the geomagnetic storm occurred on 23 and 24 April 2023. We studied exospheric temperature (Tex) responses during the G‐condition. Tex was derived from electron density (Ne) profiles (∼150–200 km) by the method proposed by Li et al. (2023, https://doi.org/10.1029/2022ja030988). The retrieved Tex showed obvious enhancements, with relative deviation of ∼10%–35% and ∼3%–20% at Mohe and Beijing, respectively. Additionally, chemical reaction rate increased by ∼15%–100% and ∼13%–30%, and O/N2 decreased by ∼17%–35% and ∼23%–30% at Mohe and Beijing, respectively. Under photochemical equilibrium assumption, peak Ne is inversely proportional to chemical reaction rate and proportional to O/N2. Increased chemical reaction rate and decreased O/N2 indicate a decrease in peak Ne. Compared to the increased Tex, the relative enhancement in Tex is more significantly associated with the G‐condition, with relative deviation above ∼10% during the G‐condition.
Phase‐Transition Variations in Granular Materials Under Multi‐Period Vibrations: Implications for Triggering Landslides After Multiple Earthquakes
Authors: Luo Hui , Hu Wei , Xu Qiang , Huang Runqiu , McSaveney Mauri , Zhou Li , Yang Wenrui 
Published: October 2024

AbstractEarthquake‐triggered landslides are widely recognized. Despite extensive research on the seismic responses of landslides triggered by single earthquakes, there is a lack of understanding of the seismic responses of landslides due to earthquake sequences and multiple earthquakes, and the mechanisms of dynamic weakening under multiple earthquakes still lack support from experimental results. To explore their seismic response characteristics and triggering mechanism, a series of multi‐period vibrations ring shear tests and dynamic triaxial‐bender tests were conducted with glass spheres. The experimental results show that the co‐vibration slip occurred during the vibration process, and as the vibration periods increased, the sample gradually slipped after vibration, eventually leading to accelerated instability. The sample exhibited a transition from a solid‐semi‐solid state to a liquid state due to the increase in vibration periods. Further results show that the shear modulus progressively weakened with successive vibration periods. The weakening of the shear strength of the sample caused by multi‐periods vibration was affected by the amplitude, the vibration time, and the interval time between two periods of vibration. Our study provided insights into how multiple earthquakes of seismic sequence and seismically active area trigger landslides.
A Field‐Based Estimation of the Variability of Particle Entrainment in Coarse‐Bed Rivers
Authors: Vázquez‐Tarrío Daniel , Carrero‐Carralero Estrella , López Raúl , Ville Fanny , Vericat Damià , Batalla Ramon J. 
Published: October 2024

AbstractThe determination of critical shear stresses is fundamental to bedload sediment transport prediction in gravel‐bed rivers. Due to the heterogeneous shape and arrangement of the individual clasts in a riverbed, critical shear stresses typically show a large spatial variability, which is not adequately captured by the reach‐averaged description followed in common studies. In this regard, there is a general paucity of field data on this spatial variability of the critical shear stress, largely due to the lack of a standardized measurement method. In an attempt to fill this gap, we propose a field‐based workflow to estimate the frequency distribution of dimensionless critical shear stress (also named critical Shields number), which is based on the measurement of a series of variables related to the position, orientation and resistance to motion of individual clasts in a gravel‐bed river, combined with a probabilistic approximation to drag and lift coefficients. Following this workflow, the patch‐scale variability of particle incipient‐motion conditions was determined in a gravel bar of the Upper Cinca River, Spain. The results are consistent with what is known about sediment entrainment in gravel‐bed rivers. We consider this method to have great potential to advance our understanding of particle initiation of motion in gravel‐bed rivers as it provides valuable systematic field information.
Towards Interpretable Physical‐Conceptual Catchment‐Scale Hydrological Modeling Using the Mass‐Conserving‐Perceptron
Authors: Wang Yuan‐Heng , Gupta Hoshin V. 
Published: October 2024

AbstractWe investigate the applicability of machine learning technologies to the development of parsimonious, interpretable, catchment‐scale hydrologic models using directed‐graph architectures based on the mass‐conserving perceptron (MCP) as the fundamental computational unit. Here, we focus on architectural complexity (depth) at a single location, rather than universal applicability (breadth) across large samples of catchments. The goal is to discover a minimal representation (numbers of cell‐states and flow paths) that represents the dominant processes that can explain the input‐state‐output behaviors of a given catchment, with particular emphasis given to simulating the full range (high, medium, and low) of flow dynamics. We find that a “HyMod Like” architecture with three cell‐states and two major flow pathways achieves such a representation at our study location, but that the additional incorporation of an input‐bypass mechanism significantly improves the timing and shape of the hydrograph, while the inclusion of bi‐directional groundwater mass exchanges significantly enhances the simulation of baseflow. Overall, our results demonstrate the importance of using multiple diagnostic metrics for model evaluation, while highlighting the need for properly selecting and designing the training metrics based on information‐theoretic foundations that are better suited to extracting information across the full range of flow dynamics. This study sets the stage for interpretable regional‐scale MCP‐based hydrological modeling (using large sample data) by using neural architecture search to determine appropriate minimal representations for catchments in different hydroclimatic regimes.
Quantitative and spatially resolved detection of multiplexed microRNA from plant tissue via hybridization to hydrogel-bound DNA probes in nanoliter well arrays
Authors: Fang Jennifer , Doyle Patrick S. 
Published: October 2024

AbstractUnderstanding complex regulatory networks in plant systems requires elucidating the roles of various gene regulators under a spatial landscape. MicroRNA are key regulators that impart high information value through their tissue specificity and stability when using expression patterns for evaluating network outcomes. However, current techniques that utilize spatial multiplexing and quantitation of microRNA are limited to primarily mammalian systems. Here, we present a method to spatially resolve and quantify multiple endogenous microRNA in situ using ethanol fixed, paraffin embedded model plant species. This method utilizes target-specific microRNA capture along with universal ligating and labelling, all within functionalized hydrogel posts containing DNA probes in nanoliter well arrays. We demonstrate the platform’s multiplexing capabilities through analyzing three endogenous microRNA in Arabidopsis thaliana rosettes which provide useful answers to fundamental plant growth and development from the unique expression patterns. The spatial tissue technique is also validated using non-spatial small RNA assays to demonstrate the versatility of the well array platform. Our new platform expands the toolkit of spatial omics technologies for plants.
Intrinsic cardiomyopathy in pediatric Marfan syndrome: predictive factors and risk assessments
Authors: Kneußel Jonas , Olfe Jakob , Stark Veronika C. , von Kodolitsch Yskert , Kozlik-Feldmann Rainer G. , Friehs Ingeborg , Kutsche Kerstin , Hübler Michael , Mir Thomas S. , Diaz-Gil Daniel 
Published: October 2024

Abstract

Background
Marfan syndrome (MFS) is associated with cardiovascular complications, particularly valvulopathies; however, its association with primary cardiomyopathy remains unclear.

Methods
This retrospective cohort study examined the cardiomyopathy characteristics (CMCs) in pediatric patients with MFS. CMCs were defined as meeting at least one of the following echocardiography or clinical parameters: (1) cardiac index (CI) too low for patient’s age, (2) ejection fraction (EF) <50%, and (3) diastolic dysfunction. The predictive factors for CMCs were determined using a multivariable logistic regression model.

Results
Among 83 patients with MFS (age, median [range], 12.5 [0.4–22.3] years), 39.8% exhibited CMCs. Only 4 patients (5%) showed heart failure symptoms (NYHA > 1). Independent predictors for CMCs included a systemic score of ≥7 (revised Ghent criteria) and likely pathogenic or pathogenic variants in FBN1, including variants that introduce a premature stop codon, splice site variants, and missense variants involving cysteine. A multivariable score was constructed with an AUC of 0.733.

Conclusion
This study offers valuable insights into the prevalence and predictors of CMC in pediatric patients with MFS and presents potential strategies for risk assessment of cardiomyopathy.

Impact

The objective of this study was to elucidate the contentious issue of intrinsic cardiomyopathy in Marfan syndrome and demonstrate its notable occurrence even in pediatric patients who do not exhibit heart failure symptoms or valvular complications.

We highlighted the importance of specific FBN1 variants and higher systemic scores in identifying the potential for intrinsic cardiomyopathy in pediatric patients with Marfan syndrome.
Quantum-accurate machine learning potentials for metal-organic frameworks using temperature driven active learning
Authors: Sharma Abhishek , Sanvito Stefano 
Published: October 2024

AbstractUnderstanding structural flexibility of metal-organic frameworks (MOFs) via molecular dynamics simulations is crucial to design better MOFs. Density functional theory (DFT) and quantum-chemistry methods provide highly accurate molecular dynamics, but the computational overheads limit their use in long time-dependent simulations. In contrast, classical force fields struggle with the description of coordination bonds. Here we develop a DFT-accurate machine-learning spectral neighbor analysis potentials for two representative MOFs. Their structural and vibrational properties are then studied and tightly compared with available experimental data. Most importantly, we demonstrate an active-learning algorithm, based on mapping the relevant internal coordinates, which drastically reduces the number of training data to be computed at the DFT level. Thus, the workflow presented here appears as an efficient strategy for the study of flexible MOFs with DFT accuracy, but at a fraction of the DFT computational cost.