bluuebunny/crossref_metadata_2025_split huggingface dataset:
Platelet reactivity in young children undergoing congenital heart disease surgery: a NITRIC randomized clinical trial substudy
Authors: van Loon Kim , Koomen Erik , Hiensch Senna , van Belle- van Haaren Nicole J. C. W. , Koelhuis-Faber Mizja , Charlier Jean-Luc , Lammers Jan , Imhof Oscar , Nijman Joppe , van Wijk Abraham , Breur Johannes M. P. J. , Gibbons Kristen , Butt Warwick , Schlapbach Luregn J. , Horton Stephen , Korporaal Suzanne ,   the NITRIC Study Group
Published: March 2024

Abstract
Introduction
The international NITRIC trial studied the hypothesis that nitric oxide (NO) applied into the cardiopulmonary bypass (CPB) oxygenator in infants would improve recovery after heart surgery. In a substudy, we evaluated the effect of NO applied into the CPB oxygenator on the (re)activity of platelets measured as fibrinogen binding (platelet aggregation) and P-selectin expression (platelet degranulation) in young children.

Methods
Platelet activity (without agonist exposure) and reactivity (after stimulation by an agonist) was studied in a single center substudy of the NITRIC trial, a multicenter, randomized trial that studied administration of 20 parts per million (ppm) NO during CPB in children younger than 2 years. Blood was collected at 4 time points (T1- T4); before CPB, after CPB start, before and after weaning. Flow cytometry-based platelet activity and reactivity in the presence of 5 agonists was tested. Differences on P-selectin expression and fibrinogen binding (median fluorescence intensity (MFI)) were analyzed with mixed effect modelling (MEM).

Results
Blood samples were obtained in 22 patients allocated to NO and 20 controls. Platelet counts dropped after T1 due to the hemodilution of blood in all patients (p < 0.001). Beta coefficients for NO allocation derived from the MEM models on fibrinogen binding and P-selectin expression were small (standardized beta coefficients on fibrinogen binding were 0.07[0.03, 0.11] and on P-selectin expression 0.05[0.03, 0.08]) and non-significant. CPB duration did not affect platelet reactivity (standardized beta coefficients 0.09[0.02, 0.12] with p > 0.27) in any of the MEMs.

Conclusion
20 ppm NO administration in the sweep gas of the CPB oxygenator did not affect platelet reactivity in young children undergoing heart surgery. Interestingly, duration of CPB exposure also did not have an effect on platelet (re)activity.

Trial registration
ANZCTR, ACTRN12617000821392. Registered 5 June 2017, https://anzctr.org.au/
The transcription factor StMYB113 regulates light-induced greening by modulating steroidal glycoalkaloid biosynthesis in potatoes (Solanum tuberosum L.)
Authors: Liu Shengxuan , Cheng Yunxia , Zhao Xijuan , Wang Enshuang , Liu Tiantian , Zhang Huiling , Liu Tengfei , Botao Song 
Published: March 2024

AbstractDuring harvesting, storage, transportation, and processing, potato (Solanum tuberosum L.) tubers undergo greening after exposure to light, leading to the accumulation of toxic glycoside alkaloids, resulting in quality deterioration and economic losses. However, the underlying mechanisms are unclear. This study compared the transcriptome and proteome differences among four potato cultivars during the light-induced greening process, identifying 3,751 unique proteins (high confidence; ≥91.7%). The levels of enzymes involved in steroidal glycoalkaloid biosynthesis varied among the cultivars. In addition, coexpression network analysis of the transcriptomic data identified the transcription factor MYB113 (Soltu.DM.10G020780.1) as a potential positive regulator of steroidal glycoalkaloid biosynthesis. The dual-luciferase assay revealed that StMYB113 could bind to the promoters of steroidal glycoalkaloid biosynthesis-related genes and activate them. The transgenic lines overexpressing Solanum tuberosum L. Myb domain protein (StMYB113) exhibited greater mRNA abundance of these genes and elevated levels of steroidal glycoalkaloids. This study provided a theoretical basis for exploring the impact of light on the synthesis of solanine in potatoes.
Formalising prestige bias: Differences between models with first-order and second-order cues
Authors: Nakata Seiya , Masumi Akira , Toya Genta 
Published: March 2024

Abstract
Knowledge and behaviour are transmitted from one individual to another through social learning and eventually disseminated across the population. People often learn useful behaviours socially through selective bias rather than random selection of targets. Prestige bias, or the tendency to selectively imitate prestigious individuals, has been considered an important factor in influencing human behaviour. Although its importance in human society and culture has been recognised, the formulation of prestige bias is less developed than that of other social learning biases. To examine the effects of prestige bias on cultural evolution theoretically, it is imperative to formulate prestige and investigate its basic properties. We reviewed two definitions: one based on first-order cues, such as the demonstrator's appearance and job title, and the other based on second-order cues, such as people's behaviour towards the demonstrator (e.g. people increasingly pay attention to prestigious individuals). This study builds a computational model of prestige bias based on these two definitions and compares the cultural evolutionary dynamics they generate. Our models demonstrate the importance of distinguishing between the two types of formalisation, because they can have different influences on cultural evolution.
Climate, climate change and the global diversity of human houses
Authors: Dunn Robert R. , Kirby Kathryn R. , Bowern Claire , Ember Carol R. , Gray Russell D. , McCarter Joe , Kavanagh Patrick H. , Trautwein Michelle , Nichols Lauren M. , Gavin Michael C. , Botero Carlos 
Published: March 2024

Abstract
Globally, human house types are diverse, varying in shape, size, roof type, building materials, arrangement, decoration and many other features. Here we offer the first rigorous, global evaluation of the factors that influence the construction of traditional (vernacular) houses. We apply macroecological approaches to analyse data describing house features from 1900 to 1950 across 1000 societies. Geographic, social and linguistic descriptors for each society were used to test the extent to which key architectural features may be explained by the biophysical environment, social traits, house features of neighbouring societies or cultural history. We find strong evidence that some aspects of the climate shape house architecture, including floor height, wall material and roof shape. Other features, particularly ground plan, appear to also be influenced by social attributes of societies, such as whether a society is nomadic, polygynous or politically complex. Additional variation in all house features was predicted both by the practices of neighouring societies and by a society's language family. Collectively, the findings from our analyses suggest those conditions under which traditional houses offer solutions to architects seeking to reimagine houses in light of warmer, wetter or more variable climates.
Posting the Journey to Juquila: Pilgrimage, Digital Devotion, and Social Media in Mexico
Authors: Wright-Ríos Edward , Martínez-Don Carlota Guadalupe 
Published: March 2024

AbstractAt the crossroads of scholarship scrutinizing digital religion and pilgrimage, this article analyzes the use of Facebook, YouTube, and Instagram by devotees of Our Lady of Juquila, a Marian image in Oaxaca, Mexico. It combines the close reading of content and descriptive online ethnography with web scraping and data analysis. The article sketches these platforms’ role in pious expression, virtual community building, pilgrimage group communication, and devotional marketing, tracking closely the intertwining of religion and commerce, particularly religious tourism promotion. The data reveal that Facebook serves as the most popular platform for Juquila’s devotees, thanks to its open, pro-sharing design and flexibility regarding group formation. As a result, it has become the essential hub of devotee expression. YouTube, thanks to its particular affordances, has become an ideal niche for narrating travel to Juquila’s shrine and a showcase of the networked nature of devotion as users borrow tools, tropes, and expressive techniques from many sources, religious and secular. Instagram is the least popular platform among devotees because its design is less open and amenable to group communication. It does, however, facilitate both smaller, more intimate community formation, as well as shallow but significant community building on popular public pages run by religious tourism promoters hosting attractive, easily sharable, free stockpiles of images, memes, and devotional slogans. In the end, social media use appears to be stoking pilgrimage in Mexico and setting the stage for significant cultural change in the future as new tools, emerging shared devotional aesthetics, and media logics reshape religious expression and devotee communication. It is also becoming an unparalleled historical archive of popular religious culture.
Marginalised within a minority: Jews with disabilities in the Jewish press of the Kingdom of Poland (1860s–1914)
Authors: Antosik-Piela Maria , Oniszczuk Aleksandra 
Published: March 2024

AbstractThis article is the first scholarly research focusing exclusively on the history of Jews with disabilities in the Kingdom of Poland from the 1860s to 1914. It analyses sources drawn from the Jewish press in Yiddish, Polish, and Hebrew. Areas of investigation include the hierarchy of attitudes towards different categories of individuals with disabilities, spiritual perspectives on disability, and the portrayal of disabilities within Jewish literature. The study places particular emphasis on the Jewish deaf community, given the proliferation of available source material. Drawing on the broad conceptual framework of disability studies, the authors examine the phenomenon of medicalisation, tracing its influence on Jewish public discourse over the latter half of the nineteenth century and the early decades of the twentieth.
Pre-Modern Institutions and Later Support for Autocrats in Democratic Elections
Authors: Doucette Jonathan Stavnskær 
Published: March 2024

AbstractA history of local inclusive institutions is correlated with higher levels of democracy today. However, it is unclear whether this reflects the effect of historical institutions on democracy or a prior common cause. Using a geographic natural experiment, this letter demonstrates that historical experience with inclusive institutions is related to less support for autocratic parties in nineteenth- and twentieth-century Germany. This suggests that electoral support for political parties that seek to subvert democracy can be influenced by pre-modern institutions even when they were destroyed prior to the introduction of democracy.
Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh
Authors: Al-Zubayer Md. Akib , Alam Khorshed , Shanto Hasibul Hasan , Maniruzzaman Md. , Majumder Uttam Kumar , Ahammed Benojir 
Published: March 2024

AbstractIncreasing prevalence of non-communicable diseases (NCDs) has become the leading cause of death and disability in Bangladesh. Therefore, this study aimed to measure the prevalence of and risk factors for double and triple burden of NCDs (DBNCDs and TBNCDs), considering diabetes, hypertension, and overweight and obesity as well as establish a machine learning approach for predicting DBNCDs and TBNCDs. A total of 12,151 respondents from the 2017 to 2018 Bangladesh Demographic and Health Survey were included in this analysis, where 10%, 27.4%, and 24.3% of respondents had diabetes, hypertension, and overweight and obesity, respectively. Chi-square test and multilevel logistic regression (LR) analysis were applied to select factors associated with DBNCDs and TBNCDs. Furthermore, six classifiers including decision tree (DT), LR, naïve Bayes (NB), k-nearest neighbour (KNN), random forest (RF), and extreme gradient boosting (XGBoost) with three cross-validation protocols (K2, K5, and K10) were adopted to predict the status of DBNCDs and TBNCDs. The classification accuracy (ACC) and area under the curve (AUC) were computed for each protocol and repeated 10 times to make them more robust, and then the average ACC and AUC were computed. The prevalence of DBNCDs and TBNCDs was 14.3% and 2.3%, respectively. The findings of this study revealed that DBNCDs and TBNCDs were significantly influenced by age, sex, marital status, wealth index, education and geographic region. Compared to other classifiers, the RF-based classifier provides the highest ACC and AUC for both DBNCDs (ACC = 81.06% and AUC = 0.93) and TBNCDs (ACC = 88.61% and AUC = 0.97) for the K10 protocol. A combination of considered two-step factor selections and RF-based classifier can better predict the burden of NCDs. The findings of this study suggested that decision-makers might adopt suitable decisions to control and prevent the burden of NCDs using RF classifiers.
Post-growth theories in a global world: A comparative analysis
Authors: Fioramonti Lorenzo 
Published: March 2024

AbstractThe process of globalisation, the global pecking order, and most international development policies are anchored on the concept of economic growth, which is at the same time increasingly questioned on social and ecological grounds. Increases in global output (GDP) are indeed among the main drivers of energy and natural resources overuse, with potentially destructive consequences for the overall ecological balances sustaining life on the planet. As a consequence, a number of post-growth theories and approaches have emerged over the past few years. This article carries out a comparative analysis of three main post-growth schools of thought in order to trace back their origin, evolution, and policy impacts at the global level. It also investigates the main points of tension and synergy to advance the debate on how best to challenge conventional growth-based policies in the international arena.
Utilising emerging perspectives at the global and regional level to frame multisectoral nutrition governance landscape in Kenya
Authors: Korir Jacob , Oldewage-Theron Wilna , Mugambi Gladys , Gichohi-Wainaina Wanjiku N 
Published: March 2024

Abstract

Objective:
Multisectoral nutrition governance (MNG) is a vital enabling determinant of improved nutrition outcomes. Despite this, it remains to be a complex phenomenon that lacks adequate understanding, especially in developing countries like Kenya. This narrative review aims to discuss the evolution of MNG, the current state of MNG, barriers and challenges, and based on these identify entry points for improvement within the complex governance structure in Kenya.

Design:
The Peer Review of Electronic Search Strategies (PRESS) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to ensure rigorous and transparent identification of literature and interpretation.

Setting:
Kenya and developing countries with similar contexts.

Participants:
The review included forty-five documents (peer-reviewed articles and grey literature) that reported on MNG in developing countries.

Results:
We acknowledge that MNG is a complex and evolving determinant of better nutrition outcomes. The paper highlights challenges Kenya and other developing countries face such as inadequate leadership, inadequate coordination, insufficient capacity, inadequate monitoring and evaluation systems, and limited financial resources, among others. For Kenya in particular, there is inadequate understanding of what MNG is and how it can be effectively operationalised and tracked.

Conclusions:
To enhance understanding of MNG in Kenya, a country-specific assessment of MNG processes and impact outcomes using standard tools and defined metrics is vital. Such assessment will generate evidence of progress, successes, and challenges that will compel the government and stakeholders to invest more in multisectoral nutrition approaches to achieve its nutrition goals.
Assessment of Sleep Quality in Spanish Twin Pregnancy: An Observational Single-Center Study
Authors: de la Calle María , Bartha Jose L. , Martin Mens Abigail , Arribas Silvia M. , Ramiro-Cortijo David 
Published: March 2024

AbstractWomen with twin pregnancies experience greater sleep disturbance compared to women with singleton pregnancies. The aims of this study were to explore the sleep quality in women with twin pregnancies and to compare their sleep dimensions with coetaneous single pregnancies. This was an observational study in which women were enrolled at the end of pregnancy in the Obstetric Service of Hospital La Paz (Spain). The women were classified as single (n = 143) or twin pregnancy (n = 62). Pregnant women responded to the Pittsburgh Sleep Quality Index to evaluate sleep quality, latency, duration, efficiency, perturbance, use of medication, and daytime dysfunction. The higher the index, the greater the alteration of sleep quality. Without statistical differences, a poor sleep quality was higher in women with single (66.7%) than women with twin pregnancies (22.8%). The good sleeper slept 6.8 h/day in single pregnancy and 7.3 h/day in twin pregnancy. The sleep perturbation and dysfunctionality were higher in women with twin than single pregnancies. The use of medication to sleep was significantly lower in women with twin than single pregnancies. In women with twin pregnancy, the body weight gain during first trimester had a positive correlation with worse sleep quality and sleep perturbations. Twin pregnancy needed more than 7 h/day to have a high sleep quality, showing greater sleep perturbations and daytime dysfunction than single pregnancies. The control of gestational body weight can improve the sleep quality, disturbances, and duration in twin gestations. Sleep screening during pregnancy would be necessary to handle sleep issues and increase benefits in twin gestational outcomes.
Unraveling the Physical and Biological Controls of the Global Coastal CO2 Sink
Authors: Roobaert Alizée , Resplandy Laure , Laruelle Goulven G. , Liao Enhui , Regnier Pierre 
Published: March 2024

AbstractThe drivers governing the air‐sea CO2 exchange and its variability in the coastal ocean are poorly understood. Using a global ocean biogeochemical model, this study quantifies the influences of thermal changes, oceanic transport, freshwater fluxes, and biological activity on the spatial and seasonal variability of CO2 sources/sinks in the global coastal ocean. We identify five typical coastal behaviors (dominated by biological drawdown, vertical transport, land imprint, intracoastal alongshore currents, and weak CO2 sources and sinks coastal regions) and propose a new processed‐based delineation of the coastal ocean based on the quantification of these controlling processes. We find that the spatiotemporal variability of CO2 sources/sinks is dominated by strong exchanges with the open ocean and intracoastal processes, while continental influences are restricted to hotspot regions. In addition, where thermal changes appear to drive the seasonal CO2 variability, it often results from compensating effects between individual non‐thermal terms, especially biological drawdown and vertical transport.
Responses of Atlantic Water Inflow Through Fram Strait to Arctic Storms
Authors: Long Zhenxia , Perrie Will , Zhang Minghong , Liu Yazhou 
Published: March 2024

AbstractChanges in the volume transport of Atlantic water into the Arctic Ocean can affect the heat and mass balance in the central Arctic Ocean. To understand the impacts of Arctic storms on the inflow through Fram Strait, we implemented the NEMO ocean model for the Arctic Ocean, to simulate the decadal variations of the water volume transport through Fram Strait. The simulations suggest that the water inflow tends to be weaker in the decades of the 1960 and 2010s but stronger in the 1980s. The decadal variation is associated with decadal variability of the storm density in the Greenland Sea. When there is an increased storm density near Fram Strait, the southerly wind anomalies dominate the Atlantic water pathway. As a response, there is an increased Atlantic inflow through Fram Strait.
Visualizing threat and trustworthiness prior beliefs in face perception in high versus low paranoia
Authors: Bott Antonia , Steer Hanna C. , Faße Julian L. , Lincoln Tania M. 
Published: March 2024

AbstractPredictive processing accounts of psychosis conceptualize delusions as overly strong learned expectations (prior beliefs) that shape cognition and perception. Paranoia, the most prevalent form of delusions, involves threat prior beliefs that are inherently social. Here, we investigated whether paranoia is related to overly strong threat prior beliefs in face perception. Participants with subclinical levels of high (n = 109) versus low (n = 111) paranoia viewed face stimuli paired with written descriptions of threatening versus trustworthy behaviors, thereby activating their threat versus trustworthiness prior beliefs. Subsequently, they completed an established social-psychological reverse correlation image classification (RCIC) paradigm. This paradigm used participants’ responses to randomly varying face stimuli to generate individual classification images (ICIs) that intend to visualize either facial prior belief (threat vs. trust). An independent sample (n = 76) rated these ICIs as more threatening in the threat compared to the trust condition, validating the causal effect of prior beliefs on face perception. Contrary to expectations derived from predictive processing accounts, there was no evidence for a main effect of paranoia. This finding suggests that paranoia was not related to stronger threat prior beliefs that directly affected face perception, challenging the assumption that paranoid beliefs operate on a perceptual level.
Expansion of memory Vδ2 T cells following SARS-CoV-2 vaccination revealed by temporal single-cell transcriptomics
Authors: Terzoli Sara , Marzano Paolo , Cazzetta Valentina , Piazza Rocco , Sandrock Inga , Ravens Sarina , Tan Likai , Prinz Immo , Balin Simone , Calvi Michela , Carletti Anna , Cancellara Assunta , Coianiz Nicolò , Franzese Sara , Frigo Alessandro , Voza Antonio , Calcaterra Francesca , Di Vito Clara , Della Bella Silvia , Mikulak Joanna , Mavilio Domenico 
Published: March 2024

Abstractγδ T cells provide rapid cellular immunity against pathogens. Here, we conducted matched single-cell RNA-sequencing and γδ-TCR-sequencing to delineate the molecular changes in γδ T cells during a longitudinal study following mRNA SARS-CoV-2 vaccination. While the first dose of vaccine primes Vδ2 T cells, it is the second administration that significantly boosts their immune response. Specifically, the second vaccination uncovers memory features of Vδ2 T cells, shaped by the induction of AP-1 family transcription factors and characterized by a convergent central memory signature, clonal expansion, and an enhanced effector potential. This temporally distinct effector response of Vδ2 T cells was also confirmed in vitro upon stimulation with SARS-CoV-2 spike-peptides. Indeed, the second challenge triggers a significantly higher production of IFNγ by Vδ2 T cells. Collectively, our findings suggest that mRNA SARS-CoV-2 vaccination might benefit from the establishment of long-lasting central memory Vδ2 T cells to confer protection against SARS-CoV-2 infection.