bluuebunny/crossref_metadata_2025_split huggingface dataset:
The contribution of cognitive disengagement syndrome symptoms to depressive symptoms among pediatric brain tumor survivors
Authors: Darow Eva L , Moscato Emily L , Riggs Amber T , Hanania Joan , Gerhardt Cynthia A , Salley Christina G , Vannatta Kathryn 
Published: January 2025

Abstract

Objective
Pediatric brain tumor survivors (PBTS) are at risk for neurocognitive late effects that can resemble symptoms of cognitive disengagement syndrome (CDS). In the current study, we compared the CDS symptoms of PBTS to those of healthy comparison classmates (CC) and examined whether CDS might explain group differences in depressive symptoms. We also explored whether CDS symptoms were associated with engagement-based coping strategies and stress responses, thereby testing one mechanism by which CDS could lead to affective difficulties.

Methods
Data were from a larger, multisite study examining the psychosocial impact of pediatric brain tumors on survivors (ages 8–15; 1- to 5-year post-treatment) and their families. PBTS (n = 68) and CC (n = 64) were matched on age and sex and reported depressive symptoms, coping strategies, and stress responses during a home-based assessment. Caregivers reported child CDS symptoms. Analyses used multiple regression with post hoc bootstrapping to test indirect effects.

Results
CDS symptoms were elevated in PBTS compared to CC (d = 0.49, p = .005), and elevated CDS symptoms partially explained higher depressive symptoms for PBTS. Exploratory serial mediation models suggested that coping strategies and stress responses did not account for the relationship between CDS and depressive symptoms. Alternative mechanisms to explain the association between CDS and depressive symptoms are discussed.

Conclusions
CDS may be a relevant framework to understand why some PBTS are at risk for depressive symptoms. Although additional research is needed, clinicians should consider screening for CDS symptoms to assess risk for depressive symptoms in survivorship.
Enumeration errors of census imputation
Authors: Chipperfield James , Zhang Li-Chun 
Published: January 2025

Abstract
Nonresponse to census enumeration is unavoidable despite the effort and resource committed. Imputation for the census nonrespondents so as to create a complete census database is common practice for preparing the numerous census outputs. Many countries have used administrative records for census imputation or are investigating such uses, in order to benefit from imputing genuine data of the census nonrespondents, which would not be possible when the imputed records are taken from the census respondents. But there is a gap in the literature regarding the assessment of the associated enumeration errors. In this paper, we develop methods for estimating the enumeration errors induced by census imputation and illustrate their uses in the context of Australian Census 2016.
Duplication of the common bile duct associated with dorsal pancreas agenesis: a diagnostic enigma and a major therapeutic turning point
Authors: Deflaoui Tarik , Derkaoui Anas , Soussan Haitam , Akil Yassir , Amara Rihab , Guellil Abdelali , Jabi Rachid , Bouziane Mohammed 
Published: January 2025

Abstract
We present a pioneering case of a duplication of the common bile duct associated with agenesis of the dorsal pancreas in a 66-year-old man. After an episode of cholestatic jaundice, radiological investigations revealed complex vascular and biliary anomalies, redefining the therapeutic strategy. Instead of risky surgery, endoscopic biliopancreatic drainage resolved the symptoms. This rare and complex case offers new perspectives for the management of such anomalies, underlining the importance of a personalized, multidisciplinary approach.
Potential roles of mitochondrial carrier proteins in plant responses to abiotic stress
Authors: de Cássia Monteiro-Batista Rita , Siqueira João Antonio , da Fonseca Pereira Paula , Barreto Pedro , Feitosa-Araujo Elias , Araújo Wagner L , Nunes-Nesi Adriano 
Published: January 2025

Abstract
The transport of metabolites across the inner mitochondrial membrane (IMM) is crucial for maintaining energy balance and efficient distribution of metabolic intermediates between cellular compartments. Under abiotic stress, mitochondrial function becomes particularly critical, activating complex signaling pathways essential for plant stress responses. These pathways modulate stress-responsive gene expression, influencing key physiological processes such as cell respiration and senescence, helping plants adapt to stress. Recent studies have emphasized the importance of finely tuned regulation of mitochondrial metabolite transport through the IMM, particularly under stress conditions, to optimize plant survival and resilience. This review summarizes the current knowledge on the possible roles of mitochondrial transport proteins and their contributions to plant adaptation under abiotic stress.
Dancing Molecules: Group A bZIPs and PEBPs at the Heart of Plant Development and Stress Responses
Authors: Martignago Damiano , da Silveira Falavigna Vítor , Coupland George , Conti Lucio 
Published: January 2025

Abstract
Group A basic leucine zipper (bZIP) transcription factors play critical roles in abscisic acid (ABA) signaling and plant development. In Arabidopsis thaliana, these factors are defined by a highly conserved core bZIP domain, and four conserved domains throughout their length: three at the N-terminus (C1 to C3) and a phosphorylatable C-terminal SAP motif located at the C4 domain. Initially, members such as ABI5 and ABFs were studied for their roles in ABA signaling during seed germination or stress responses. Later, a sub-clade of group A bZIPs, including FD, was found to play important roles in floral induction by interacting with the florigen FLOWERING LOCUS T (FT) at the shoot apical meristem. Recent research has expanded our understanding of these transcription factors by identifying intriguing parallels between those involved in ABA signaling and those promoting floral induction, and revealing dynamic interactions with FT and other phosphatidylethanolamine-binding proteins (PEBP) such as TERMINAL FLOWER 1. Studies in crop plants and non-model species demonstrate broader roles, functions, and molecular targets of group A bZIPs. This review highlights common features of group A bZIPs and their post-translational regulation in enabling the activation of gene regulatory networks with important functions in plant development and stress responses.
How complex are galaxies? A non-parametric estimation of the intrinsic dimensionality of wide-band photometric data
Authors: Cadiou Corentin , Laigle Clotilde , Agertz Oscar 
Published: January 2025

ABSTRACT
Galaxies are complex objects, yet the number of independent parameters to describe them remains unknown. We present here a non-parametric method to estimate the intrinsic dimensionality of large data sets. We apply it to wide-band photometric data drawn from the COSMOS2020 catalogue and a comparable mock catalogue from the Horizon-AGN simulation. Our galaxy catalogues are limited in signal-to-noise ratio (SNR) in all optical and near-infrared bands. Our results reveal that most of the variance in the wide-band photometry of this galaxy sample can be described with at most 4.3 $\pm$ 0.5 independent parameters for star-forming galaxies and 2.9 $\pm$ 0.2 for passive ones, both in the observed and simulated catalogues. We identify one of these parameters to be noise-driven, and recover that stellar mass and redshift are two key independent parameters driving the magnitudes. Our findings support the idea that wide-band photometry does not provide more than one additional independent parameter for star-forming galaxies. Although our sample is not mass-limited and may miss some passive galaxies due to our cut in SNR, our work suggests that dimensionality reduction techniques may be effectively used to explore and analyse wide-band photometric data, provided the used latent space is at least four-dimensional.
Nebular emission from composite star-forming galaxies – I. A novel modelling approach
Authors: Morisset Christophe , Charlot Stéphane , Sánchez Sebastián F , Espinosa-Ponce Carlos , Barat Eric , Dautremer Thomas 
Published: January 2025

Abstract
We introduce a novel approach to modelling the nebular emission from star-forming galaxies by combining the contributions from many H ii regions incorporating loose trends in physical properties, random dust attenuation, a predefined Hα luminosity function and a diffuse ionized-gas component. Using a machine-learning-based regression artificial neural network trained on a grid of models generated by the photoionization code CLOUDY, we efficiently predict emission-line properties of individual H ii regions over a wide range of physical conditions. We generate 250,000 synthetic star-forming galaxies composed of up to 3000 H ii regions and explore how variations in parameters affect their integrated emission-line properties. Our results highlight systematic biases in oxygen-abundance estimates derived using traditional methods, emphasizing the importance of accounting for the composite nature of star-forming galaxies when interpreting integrated nebular emission. Future work will leverage this approach to explore in detail its impact on parameter estimates of star-forming galaxies.
Gravitational waves and galaxies cross-correlations: a forecast on GW biases for future detectors
Authors: Zazzera Stefano , Fonseca José , Baker Tessa , Clarkson Chris 
Published: January 2025

ABSTRACT
Gravitational waves (GWs) have rapidly become important cosmological probes since their first detection in 2015. As the number of detected events continues to rise, upcoming instruments like Einstein Telescope (ET) and Cosmic Explorer (CE) will observe millions of compact binary mergers. These detections, coupled with galaxy surveys by instruments such as the Dark Spectroscopic Energy Instrument (DESI), Euclid, and the Vera Rubin Observatory, will provide unique information on the large-scale structure of the universe by cross-correlating GWs with the distribution of galaxies hosting them. In this paper, we focus on how cross-correlations constrain the clustering bias of GWs emitted by the coalescence of binary black holes (BBHs). This parameter links BBHs to the underlying dark matter distribution, hence informing us how they populate galaxies. Using a multitracer approach, we forecast the precision of these measurements under different survey combinations. Our results indicate that current GW detectors will have limited precision, with measurement errors as high as $\displaystyle \sim 50~{{\ \rm per\ cent}}$. However, third-generation detectors like ET, when cross-correlated with Legacy Survey of Space and Time (LSST) data, can improve clustering bias measurements to within 2.5 per cent. Furthermore, we demonstrate that these cross-correlations can enable a per cent-level measurement of the magnification lensing effect on GWs. Despite this, there is a degeneracy between magnification and evolution biases, which hinders the precision of both. This degeneracy is most effectively addressed by assuming knowledge of one bias or targeting an optimal redshift range of $\displaystyle 1 \lt z \lt 2.5$. Our analysis opens new avenues for studying the distribution of BBHs and testing the nature of gravity through large-scale structure.
The disrupting and growing open cluster spiral arm patterns of the Milky Way
Authors: Liu Xiaochen , He Zhihong , Luo Yangping , Wang Kun 
Published: January 2025

ABSTRACT
Star clusters provide unique advantages for investigating Galactic spiral arms, particularly due to their precise ages, positions, and kinematic properties, which are further enhanced by ongoing updates from the astrometric data. In this study, we employ the latest extensive catalogue of open clusters from Gaia DR3 to examine the positional deviations of clusters belonging to different age groups. Additionally, we employ dynamical simulations to probe the evolutionary behaviour of spiral arm positions. Our analysis reveals an absence of a theoretical age pattern in the spiral arms traced by open clusters, and the pattern speeds of the spiral arms are consistent with the rotation curve. Both of these results do not align with the predictions of quasi-stationary density wave theory, suggesting a more dynamic or transient arm scenario for the Milky Way. From this perspective, combined with vertex deviation estimates, it appears that the Local arm is in a state of growth. In contrast, the Sagittarius-Carina arm and the Perseus arm exhibit opposing trends. Consequently, we speculate that the Galactic stellar disc does not exhibit a grand-design spiral pattern with a fixed pattern speed, but rather manifests as a multi-armed structure with arms that continuously emerge and dissipate.
The impact of CLEANing on strong gravitational lens modelling
Authors: Maresca Jacob , Dye Simon 
Published: January 2025

ABSTRACT
We present a comparison of image and uv-plane galaxy–galaxy strong lensing modelling results for simulated Atacama Large Millimeter Array observations with different antenna configurations and on-source integration times. Image-plane modelling is carried out via use of the CLEAN algorithm, and we explore the effects of different visibility weighting schemes on the inferred lens model parameters. We find that direct modelling of the visibility data consistently outperforms image-plane modelling for both the naturally and Briggs-weighted images. We also find that the modelling of images created with Briggs weighting generally produces more accurate results than those obtained by modelling images constructed with natural weighting. We explain this by quantifying the suppression of information due to CLEANing on scales at which the modelling is sensitive, and how this differs between Briggs and natural weighting. At higher resolutions, the differences between the lens modelling techniques are much less pronounced and overall, modelling errors are significantly reduced. We also find that time-binning the visibilities by up to a factor of three makes no significant difference to the inferred lens parameters when directly modelling in the uv-plane. This work provides some guidance on navigating the many choices faced when modelling strong lens interferometric imaging data.
Successful switching treatment of mepolizumab for refractory eosinophilic granulomatosis with polyangiitis and multiple organ dysfunction under benralizumab treatment: A case report
Authors: Yukishima Toshitaka , Yonezawa Haruka , Aono Yuya , Yamaguchi Kazuyuki , Otsuki Yoshiro , Ohmura Shin-ichiro 
Published: January 2025

ABSTRACT
Eosinophilic granulomatosis with polyangiitis (EGPA) is a rare necrotising vasculitis affecting small vessels accompanied by eosinophilic inflammation. Biological therapies, particularly anti-interleukin-5 (IL-5) monoclonal antibodies, have been shown to be effective in treating refractory EGPA. Mepolizumab, an anti-IL-5 monoclonal antibody, has been approved in Japan for the treatment of EGPA and has a significant glucocorticoid-sparing effect. Benralizumab, an anti-IL-5 receptor monoclonal antibody, has also been reported to reduce the glucocorticoid dose in patients with EGPA. However, several investigators have reported the development of EGPA during biologic treatment. Herein, we present a case of development of refractory EGPA under benralizumab treatment. Although the initial treatment with high-dose glucocorticoids and the administration of benralizumab were temporally effective, the patient’s condition did not improve, and the eosinophil count reelevated. After switching benralizumab to mepolizumab, the patient’s condition improved, and remission was achieved. Our report suggested that mepolizumab may be an effective treatment option for refractory EGPA after failure of benralizumab treatment.
Use of Images to Assess Awareness and Use of Emerging Nicotine Pouch Products
Authors: Bover Manderski Michelle T , Delnevo Cristine D , Hrywna Mary 
Published: January 2025

Abstract

Introduction
Accurate measurement is critical for understanding the population health impact of nicotine pouches, yet precise, standardized measures of nicotine pouch use are lacking, possibly driving disparate prevalence estimates across studies. We implemented a split sample survey experiment to assess the impact of including a product image when asking about nicotine pouches.

Methods
We randomized an online sample of US adults ages 18–45 (N = 2130) recruited through the February 2023 wave of the Rutgers Omnibus Study to view either a text-only or text-plus-image description of oral nicotine pouches before being asked about awareness of the products. Participants who endorsed awareness were then asked about their use and the brands they had tried. We calculated the prevalence of awareness, ever, and current use of nicotine pouches and used chi-square tests to assess differences in responses to each question by survey condition.

Results
Participants in the image condition were more likely than those in the text condition to report awareness (40.6% vs 31.5%, p &lt; .001) and ever use (7.2% vs 5.2%, p = .044). Among those reporting nicotine pouch use, 5.9% in the text-only condition, compared to 0% in the image condition, listed a smokeless tobacco brand as one they tried, suggesting they were misclassified by the text-only question.

Conclusion
Inclusion of product imagery can improve nicotine pouch measurement accuracy in surveys, while text-only measures may misestimate the prevalence of awareness and use. Differences in nicotine pouch prevalence estimates may be explained in part by differences in survey measures, highlighting a need to harmonize measures across studies.

Implications
In this first study to evaluate nicotine pouch measurement methods, findings suggest that existing surveillance and research efforts may be undermined by misclassification. Text-only measures of nicotine pouch awareness and use may produce biased prevalence estimates, and inclusion of product imagery can improve nicotine pouch measurement accuracy in surveys.
Unreliable emotions and ethical knowledge
Authors: Hutton James 
Published: January 2025

Abstract
How is ethical knowledge possible? One promising answer is Moral Empiricism: we can acquire ethical knowledge through emotional experiences. But Moral Empiricism faces a serious problem. Our emotions are unreliable guides to ethics, frequently failing to fit the ethical status of their objects, so the habit of basing ethical beliefs on one's emotions seems too unreliable to yield knowledge. I develop a new, virtue-epistemic solution to this problem, with practical implications for how we approach ethical decision-making. By exploiting a frequently overlooked connection between reliability and defeaters, I argue that an agent can have a reliable belief-forming habit despite having unreliable emotions. The upshot is that emotion-based ethical knowledge is possible even for people whose emotions are unreliable, but only if we cultivate the skill of noticing and responding to signs that a given emotion is unfitting.
Emotional priming for sustainable consumption? The effects of social media content on the valuation of chocolate
Authors: von Grafenstein Liza , Iweala Sarah , Pahl Stefan , Ruml Anette 
Published: January 2025

Abstract
Current consumption patterns in the Global North are unsustainable across environmental, social, and economic dimensions. To promote more sustainable consumer behavior, emotional priming on social media has become an increasingly popular tool. In this paper, we mimic social media content to test the effectiveness of emotional priming in incentivizing sustainable consumption. Specifically, we examine whether emotionally primed information about sustainability aspects in cocoa production increases consumers’ valuation for sustainably produced products in the short and medium term. To achieve this, we conducted an online panel survey of 2,161 German consumers with random assignment to one of four different treatments (unprimed information or information with emotional prime) designed as social media posts (videos). We differentiate between environmental sustainability and social responsibility, and separate the products into sustainability certification, uncertified claims, and conventional chocolate. We find statistically significant positive effects of the emotional primes on consumers’ willingness-to-pay (WTP) for products with sustainability certifications and noncertified sustainability claims in the short term. These effects can be attributed to negative emotions triggered by the primes. Two weeks after the treatments, the WTP decreases for all groups. The difference in WTP between the primed and unprimed groups diminishes in the medium term. Primed participants value sustainability certifications and claims less than those who received unprimed information.
Interacting Anomalies
Authors: Müller Karsten , Schmickler Simon N M 
Published: January 2025

Abstract
An extensive literature studies interactions of stock market anomalies using double-sorted portfolios. But given hundreds of known candidate anomalies, examining selected interactions is subject to a data mining critique. In this paper, we conduct a comprehensive analysis of all possible double-sorted portfolios constructed from 102 underlying anomalies. We find hundreds of statistically significant anomaly interactions, even after accounting for multiple hypothesis testing. An out-of-sample trading strategy that invests in the top backward-looking double-sort strategy generates equal-weighted (value-weighted) monthly average returns of 4% (2.7%) at an annualized Sharpe ratio of 2 (1.38), on par with state-of-the-art anomaly-based machine learning strategies.
The Fed and the Secular Decline in Interest Rates
Authors: Hillenbrand Sebastian 
Published: January 2025

Abstract
This paper documents a striking fact: a narrow window around Fed meetings captures the entire secular decline in U.S. Treasury yields. Yield movements outside this window are transitory and wash out over time. This is surprising because the forces behind the secular decline are thought to be independent of monetary policy. Long-term bond yields decline when the Fed cuts the short rate and when the Fed lowers its long-run forecast of the federal funds rate (the “dot plot”). These results are consistent with the view that Fed announcements provide guidance about the long-run path of interest rates.
Optimization of Bonner sphere spectrometer design applying Bayesian approach
Authors: Nguyen Ngoc-Quynh , Kurosawa Tadahiro , Le Ngoc-Thiem 
Published: January 2025

Abstract
The design of Bonner Sphere Spectrometer (BSS) was optimized using Bayesian approach for two different measurement purposes in the ISO 8529 neutron standard field of 241Am-Be source as follows: (i) for the best estimation of neutron fluence spectrum and (ii) for the best estimation of neutron ambient dose equivalent, H*(10). As results, two optimal sets of BSS system (with sequential specific diameters) were proposed: (i) for the first problem, an optimal BSS system with a maximum of six different diameters is needed to obtain neutron fluence spectrum with the standard uncertainties in each energy bin as low as reasonably achievable and (ii) for the second problem, if one would just like to achieve the output H*(10) with a standard uncertainty &lt;10%, only two optimal BSS measurements are needed.