bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematicity of receiving mental health care predicts better subjective well-being of Ukrainians during the second year of the Russian invasion
Authors: Velykodna Mariana , Tkachenko Oksana , Shylo Oksana , Mitchenko Kateryna , Miroshnyk Zoia , Kvitka Natalia , Charyieva Olha 
Published: April 2024

Purpose
This study aims to develop and test a multivariable psychosocial prediction model of subjective well-being in Ukrainian adults (n = 1,248) 1.5 years after the 2022 Russian invasion of Ukraine.

Design/methodology/approach
The research design followed the “Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis” checklist. The online survey combined a questionnaire on sociodemographic characteristics and specifics of living in wartime, as well as validated self-reported inventories: The Modified BBC Subjective Well-being Scale, Acceptance and Action Questionnaire – Version 2 and Connor–Davidson Resilience Scale-10.

Findings
The initially developed model was tested through regression analysis, which revealed nine variables as predictors of the subjective well-being scores within the sample, explaining 49.3% of its variance. Among them, the strongest were living with a friend and receiving mental health care systematically. They were almost twice as influential as forced displacement abroad and trauma exposure, which predicted lower well-being, and living with a spouse, which forecasted higher well-being scores. Two resilience subscales – adjustment and restoring and resistance – as predictors of better well-being and perceived unsuccess in life and age as predictors of lower well-being were relatively weaker but statistically significant.

Originality/value
The obtained results support the previous evidence on the essential role of accessible mental health services and social support in times of war, as well as the deteriorative effect of trauma exposure and forcible taking refuge on subjective well-being.
Expanding horizons for the future with an open educational model for complex thinking: external and internal validation
Authors: Ramírez-Montoya María-Soledad , Portuguez-Castro May 
Published: April 2024

Purpose
The challenges facing 21st-century society are becoming increasingly complex, requiring the development of new citizen competencies. This study aims to validate an educational model focused on developing complex thinking in higher education students. Current educational models lack future-ready competencies, necessitating the emergence of new models to guide future generations toward the common good.

Design/methodology/approach
This was an adaptation of the causal-layered analysis (CLA) applied to 415 participants from higher education institutions in Mexico, Panama and Spain. Sessions were designed to present the proposed educational model and explore participants’ perceptions of its significance and contributions to future education.

Findings
Key findings include the following: participants perceived complexity as difficult and challenging; causes of problems were linked to outdated educational models requiring replacement by those that develop students’ competencies; participants envisioned changes that would develop individuals capable of understanding and transforming society; and participants recognized the model’s transformative potential, offering a novel proposal for 21st-century education.

Originality/value
This research sought to gather opinions from different stakeholders using the CLA methodology, providing a deep understanding of participants’ perspectives on the proposed solution.
Are some species more sensitive to environmental change than others? It may all depend on the context
Authors: Touzot Laura , Paniw Maria 
Published: April 2024

AbstractResearch Highlight: Rademaker, M., van Leeuwen, A., & Smallegange, I. M. (2024). Why we cannot always expect life history strategies to directly inform on sensitivity to environmental change. Journal of Animal Ecology, https://doi.org/10.1111/1365‐2656.14050. Ecological studies have long delved into how organisms allocate energy between reproduction and somatic maintenance to maximize fitness. This allocation gives rise to various life‐history strategies, and these strategies have been shown to predict how populations respond to environmental change, allowing us to generalize potential responses to increasing human pressures. Such predictions have, however, been made for a limited set of terrestrial taxa and typically do not explore how individual differences in life‐history responses to environmental change scale to affect population‐level responses. Using novel data on diverse fish species, Rademaker et al. (2024) construct models that link individual‐level trade‐offs in energy allocation under environmental change to population‐level life‐history strategies. A key finding in their study is that short‐lived species are not more sensitive to environmental change—unlike results of previous studies. This study represents a new generation of work that underscores the complexity of predicting population responses to environmental shifts and suggests a need for a broader understanding of individual‐level mechanisms. The results of Rademaker et al. (2024) encourage further mechanistic life‐history analyses across a wider range of species and populations to validate the exciting findings and explore their implications across diverse ecological contexts.
New evidence on the impacts of cross‐market hospital mergers on commercial prices and measures of quality
Authors: Arnold Daniel R. , King Jaime S. , Fulton Brent D. , Montague Alexandra D. , Gudiksen Katherine L. , Greaney Thomas L. , Scheffler Richard M. 
Published: April 2024

AbstractObjectiveTo examine the impact of “cross‐market” hospital mergers on prices and quality and the extent to which serial acquisitions contribute to any measured effects.Data Sources2009–2017 commercial claims from the Health Care Cost Institute (HCCI) and quality measures from Hospital Compare.Study DesignEvent study models in which the treated group consisted of hospitals that acquired hospitals further than 50 miles, and the control group was hospitals that were not part of any merger activity (as a target or acquirer) during the study period.Data Extraction MethodsWe extracted data for 214 treated hospitals and 955 control hospitals.Principal FindingsSix years after acquisition, cross‐market hospital mergers had increased acquirer prices by 12.9% (CI: 0.6%–26.6%) relative to control hospitals, but had no discernible impact on mortality and readmission rates for heart failure, heart attacks and pneumonia.For serial acquirers, the price effect increased to 16.3% (CI: 4.8%–29.1%). For all acquisitions, the price effect was 21.8% (CI: 4.6%–41.7%) when the target's market share was greater than the acquirer's market share versus 9.7% (CI: −0.5% to 20.9%) when the opposite was true. The magnitude of the price effect was similar for out‐of‐state and in‐state cross‐market mergers.ConclusionsAdditional evidence on the price and quality effects of cross‐market mergers is needed at a time when over half of recent hospital mergers have been cross‐market. To date, no hospital mergers have been challenged by the Federal Trade Commission on cross‐market grounds. Our study is the third to find a positive price effect associated with cross‐market mergers and the first to show no quality effect and how serial acquisitions contribute to the price effect. More research is needed to identify the mechanism behind the price effects we observe and analyze price effect heterogeneity.
Isolation, characterisation and description of the roseoflavin producerStreptomyces berlinensissp. nov.
Authors: Liunardo Jimmy Jonathan , Messerli Sebastien , Gregotsch Ann‐Kathrin , Lang Sonja , Schlosser Kerstin , Rückert‐Reed Christian , Busche Tobias , Kalinowski Jörn , Zischka Martin , Weller Philipp , Nouioui Imen , Neumann‐Schaal Meina , Risdian Chandra , Wink Joachim , Mack Matthias 
Published: April 2024

AbstractThe Gram‐positive bacteriaStreptomyces davaonensisandStreptomyces cinnabarinushave been the only organisms known to produce roseoflavin, a riboflavin (vitamin B2) derived red antibiotic. Using a selective growth medium and a phenotypic screening, we were able to isolate a novel roseoflavin producer from a German soil sample. The isolation procedure was repeated twice, that is, the same strain could be isolated from the same location in Berlin 6 months and 12 months after its first isolation. Whole genome sequencing of the novel roseoflavin producer revealed an unusual chromosomal arrangement and the deposited genome sequence of the new isolate (G + C content of 71.47%) contains 897 genes per inverted terminal repeat, 6190 genes in the core and 107 genes located on an illegitimate terminal end. We identified the roseoflavin biosynthetic genesrosA,rosBandrosCand an unusually high number of riboflavin biosynthetic genes. Overexpression ofrosA,rosBandrosCinEscherichia coliand enzyme assays confirmed their predicted functions in roseoflavin biosynthesis. A full taxonomic analysis revealed that the isolate represents a previously unknownStreptomycesspecies and we propose the nameStreptomyces berlinensissp. nov. for this roseoflavin producer.
A FAIR and modular image‐based workflow for knowledge discovery in the emerging field of imageomics
Authors: Balk Meghan A. , Bradley John , Maruf M. , Altintaş Bahadir , Bakiş Yasin , Bart Henry L. , Breen David , Florian Christopher R. , Greenberg Jane , Karpatne Anuj , Karnani Kevin , Mabee Paula , Pepper Joel , Jebbia Dom , Tabarin Thibault , Wang Xiaojun , Lapp Hilmar 
Published: April 2024

Abstract

Image‐based machine learning tools are an ascendant ‘big data’ research avenue. Citizen science platforms, like iNaturalist, and museum‐led initiatives provide researchers with an abundance of data and knowledge to extract. These include extraction of metadata, species identification, and phenomic data. Ecological and evolutionary biologists are increasingly using complex, multi‐step processes on data. These processes often include machine learning techniques, often built by others, that are difficult to reuse by other members in a collaboration.

We present a conceptual workflow model for machine learning applications using image data to extract biological knowledge in the emerging field of imageomics. We derive an implementation of this conceptual workflow for a specific imageomics application that adheres to FAIR principles as a formal workflow definition that allows fully automated and reproducible execution, and consists of reusable workflow components.

We outline technologies and best practices for creating an automated, reusable and modular workflow, and we show how they promote the reuse of machine learning models and their adaptation for new research questions. This conceptual workflow can be adapted: it can be semi‐automated, contain different components than those presented here, or have parallel components for comparative studies.

We encourage researchers—both computer scientists and biologists—to build upon this conceptual workflow that combines machine learning tools on image data to answer novel scientific questions in their respective fields.
Corporate inversion, cost of equity and ineffective tax reform
Authors: Hong Liu , Zhou Tianpeng 
Published: April 2024

AbstractUS multinational firms typically invert either through a pure form or by merging with foreign entities. Our research documents that pure inversions increase inverting firms' cost of equity, while merger inversions decrease it. These results remain robust across different measures of the cost of equity. We also demonstrate that the 2004 tax reform is ineffective in reducing US multinational firms' tendency to invert. Instead, it prompts firms to shift from pure inversions to merger inversions, which are less value‐enhancing due to their lower tax benefits. It is unlikely that the legislators had foreseen these outcomes.
Letter: Shorter duration of intravenous terlipressin for variceal bleeding in patients with cirrhosis—A promising find. Author's reply
Authors: Biswas Sagnik , Vaishnav Manas , Shalimar  
Published: April 2024

LINKED CONTENTThis article is linked to Vaishnav et al papers. To view these articles, visithttps://doi.org/10.1111/apt.17868andhttps://doi.org/10.1111/apt.17976
Editorial: Crystalising the burden of steatotic liver disease—Authors' reply
Authors: Schneider Carolin V. , Schneider Kai Markus , Loomba Rohit 
Published: April 2024

LINKED CONTENTThis article is linked to Schneider et al papers. To view these articles, visithttps://doi.org/10.1111/apt.17958andhttps://doi.org/10.1111/apt.17986
Editorial: Sequencing rescue therapy for acute severe ulcerative colitis—Ready for revision? Authors' reply
Authors: García María José , Gisbert Javier P. , Chaparro María 
Published: April 2024

LINKED CONTENTThis article is linked to García et al papers. To view these articles, visithttps://doi.org/10.1111/apt.17938andhttps://doi.org/10.1111/apt.17973
Steatotic liver disease‐associated all‐cause/cause‐specific mortality in the United States
Authors: Kim Donghee , Wijarnpreecha Karn , Cholankeril George , Ahmed Aijaz 
Published: April 2024

SummaryBackgroundRecently, a panel of multi‐society experts proposed steatotic liver disease (SLD) as an alternative terminology for metabolic dysfunction‐associated fatty liver disease (MAFLD) or nonalcoholic fatty liver disease (NAFLD).AimsWe compared the impact of SLD, subtype of SLD, MAFLD and NAFLD on all‐cause and cause‐specific mortality.MethodsA total of 7811 individuals in the third National Health and Nutrition Examination Survey and linked mortality through 2019 were analysed. SLD was defined based on ultrasonographic hepatic steatosis. SLD, subtype of SLD and MAFLD were defined using the proposed definitions. The Cox proportional hazard model assessed all‐cause/cause‐specific mortality.ResultsDuring a median follow‐up of 27.1 years, individuals with SLD and MAFLD experienced approximately 13%–23% higher risk of all‐cause mortality (hazard ratio [HR]: 1.15, 95% confidence interval [CI]: 1.02–1.29 for SLD; HR: 1.23, 95% CI: 1.09–1.38 for MAFLD; HR: 1.13, 95% CI: 1.01–1.27 for metabolic dysfunction‐associated steatotic liver disease [MASLD]). Individuals with MetALD demonstrated a higher risk of all‐cause (HR: 1.68, 95% CI: 1.10–2.57) and cancer‐related mortality (HR: 2.40, 95% CI: 1.23–4.66). MASLD with advanced fibrosis had an increased risk of all‐cause mortality compared to MASLD without advanced fibrosis.ConclusionsSLD, especially MASLD and MetALD, is associated with increased all‐cause mortality among adults in the US. Given this significant association between SLD or subtype of SLD (MASLD and MetALD) and all‐cause mortality, adopting the proposed SLD criteria may help identify a sub‐group of individuals with SLD who are at an increased risk for all‐cause mortality.
The histone demethylase JMJD1C regulates CPS1 expression and promotes the proliferation of paroxysmal nocturnal haemoglobinuria clones through cell metabolic reprogramming
Authors: Chen Yingying , Liu Hui , Wang Chaomeng , Chen Weixin , Li Liyan , Wu Junshu , Wang Guanrou , Ling Guang Sheng , Fu Rong 
Published: April 2024

SummaryParoxysmal nocturnal haemoglobinuria (PNH) is a disorder resulting from erythrocyte membrane deficiencies caused by PIG‐A gene mutations. While current treatments alleviate symptoms, they fail to address the underlying cause of the disease—the pathogenic PNH clones. In this study, we found that the expression of carbamoyl phosphate synthetase 1 (CPS1) was downregulated in PNH clones, and the level of CPS1 was negatively correlated with the proportion of PNH clones. Using PIG‐A knockout K562 (K562 KO) cells, we demonstrated that CPS1 knockdown increased cell proliferation and altered cell metabolism, suggesting that CPS1 participates in PNH clonal proliferation through metabolic reprogramming. Furthermore, we observed an increase in the expression levels of the histone demethylase JMJD1C in PNH clones, and JMJD1C expression was negatively correlated with CPS1 expression. Knocking down JMJD1C in K562 KO cells upregulated CPS1 and H3K36me3 expression, decreased cell proliferation and increased cell apoptosis. Chromatin immunoprecipitation analysis further demonstrated that H3K36me3 regulated CPS1 expression. Finally, we demonstrated that histone demethylase inhibitor JIB‐04 can suppressed K562 KO cell proliferation and reduced the proportion of PNH clones in PNH mice. In conclusion, aberrant regulation of the JMJD1C‐H3K36me3‐CPS1 axis contributes to PNH clonal proliferation. Targeting JMJD1C with a specific inhibitor unveils a potential strategy for treating PNH patients.
Cell redistribution of G quadruplex‐structured DNA is associated with morphological changes of nuclei and nucleoli in neurons during tau pathology progression
Authors: Comptdaer Thomas , Tardivel Meryem , Schirmer Claire , Buée Luc , Galas Marie‐Christine 
Published: April 2024

AbstractWhile the double helical structure has long been its iconic representation, DNA is structurally dynamic and can adopt alternative secondary configurations. Specifically, guanine‐rich DNA sequences can fold in guanine quadruplexes (G4) structures. These G4 play pivotal roles as regulators of gene expression and genomic stability, and influence protein homeostasis. Despite their significance, the association of G4 with neurodegenerative diseases such as Alzheimer's disease (AD) has been underappreciated. Recent findings have identified DNA sequences predicted to form G4 in sarkosyl‐insoluble aggregates from AD brains, questioning the involvement of G4‐structured DNA (G4 DNA) in the pathology. Using immunofluorescence coupled to confocal microscopy analysis we investigated the impact of tau pathology, a hallmark of tauopathies including AD, on the distribution of G4 DNA in murine neurons and its relevance to AD brains. In healthy neurons, G4 DNA is detected in nuclei with a notable presence in nucleoli. However, in a transgenic mouse model of tau pathology (THY‐Tau22), early stages of the disease exhibit an impairment in the nuclear distribution of G4 DNA. In addition, G4 DNA accumulates in the cytoplasm of neurons exhibiting oligomerized tau and oxidative DNA damage. This altered distribution persists in the later stage of the pathology when larger tau aggregates are present. Still cytoplasmic deposition of G4 DNA does not appear to be a critical factor in the tau aggregation process. Similar patterns are observed in neurons from the AD cortex. Furthermore, the disturbance in G4 DNA distribution is associated with various changes in the size of neuronal nuclei and nucleoli, indicative of responses to stress and the activation of pro‐survival mechanisms. Our results shed light on a significant impact of tau pathology on the dynamics of G4 DNA and on nuclear and nucleolar mechanobiology in neurons. These findings reveal new dimensions in the etiopathogenesis of tauopathies.
USP3: Key deubiquitylation enzyme in human diseases
Authors: Zhang Hongyan , Liu Wenjing , Wu Yingying , Chen Ceshi 
Published: April 2024

AbstractUbiquitination and deubiquitylation are pivotal posttranslational modifications essential for regulating cellular protein homeostasis and are implicated in the development of human diseases. Ubiquitin‐specific protease 3 (USP3), a member of the ubiquitin‐specific protease family, serves as a key deubiquitylation enzyme, playing a critical role in diverse cellular processes including the DNA damage response, cell cycle regulation, carcinogenesis, tumor cell proliferation, migration, and invasion. Despite notable research efforts, our current understanding of the intricate and context‐dependent regulatory networks governing USP3 remains incomplete. This review aims to comprehensively synthesize existing published works on USP3, elucidating its multifaceted roles, functions, and regulatory mechanisms, while offering insights for future investigations. By delving into the complexities of USP3, this review strives to provide a foundation for a more nuanced understanding of its specific roles in various cellular processes. Furthermore, the exploration of USP3's regulatory networks may uncover novel therapeutic strategies targeting this enzyme in diverse human diseases, thereby holding promising clinical implications. Overall, an in‐depth comprehension of USP3's functions and regulatory pathways is crucial for advancing our knowledge and developing targeted therapeutic approaches for human diseases.
Interactive Exploration of Vivid Material Iridescence using Bragg Mirrors
Authors: Fourneau G. , Pacanowski R. , Barla P. 
Published: April 2024

AbstractMany animals, plants or gems exhibit iridescent material appearance in nature. These are due to specific geometric structures at scales comparable to visible wavelengths, yielding so‐called structural colors. The most vivid examples are due to photonic crystals, where a same structure is repeated in one, two or three dimensions, augmenting the magnitude and complexity of interference effects. In this paper, we study the appearance of 1D photonic crystals (repetitive pairs of thin films), also called Bragg mirrors. Previous work has considered the effect of multiple thin films using the classical transfer matrix approach, which increases in complexity when the number of repetitions increases. Our first contribution is to introduce a more efficient closed‐form reflectance formula [Yeh88] for Bragg mirror reflectance to the Graphics community, as well as an approximation that lends itself to efficient spectral integration for RGB rendering. We then explore the appearance of stacks made of rough Bragg layers. Here our contribution is to show that they may lead to a ballistic transmission, significantly speeding up position‐free rendering and leading to an efficient single‐reflection BRDF model.
Contour wavelet diffusion: A fast and high‐quality image generation model
Authors: Ding Yaoyao , Zhu Xiaoxi , Zou Yuntao 
Published: April 2024

AbstractDiffusion models can generate high‐quality images and have attracted increasing attention. However, diffusion models adopt a progressive optimization process and often have long training and inference time, which limits their application in realistic scenarios. Recently, some latent space diffusion models have partially accelerated training speed by using parameters in the feature space, but additional network structures still require a large amount of unnecessary computation. Therefore, we propose the Contour Wavelet Diffusion method to accelerate the training and inference speed. First, we introduce the contour wavelet transform to extract anisotropic low‐frequency and high‐frequency components from the input image, and achieve acceleration by processing these down‐sampling components. Meanwhile, due to the good reconstructive properties of wavelet transforms, the quality of generated images can be maintained. Second, we propose a Batch‐normalized stochastic attention module that enables the model to effectively focus on important high‐frequency information, further improving the quality of image generation. Finally, we propose a balanced loss function to further improve the convergence speed of the model. Experimental results on several public datasets show that our method can significantly accelerate the training and inference speed of the diffusion model while ensuring the quality of generated images.