bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI mirrors experimental science to uncover a novel mechanism of gene transfer crucial to bacterial evolution
Authors: Penadés José R , Gottweis Juraj , He Lingchen , Patkowski Jonasz B , Shurick Alexander , Weng Wei-Hung , Tu Tao , Palepu Anil , Myaskovsky Artiom , Pawlosky Annalisa , Natarajan Vivek , Karthikesalingam Alan , Costa Tiago R D 
Published: February 2025

SUMMARYAI models have been proposed for hypothesis generation, but testing their ability to drive high-impact research is challenging, since an AI-generated hypothesis can take decades to validate. Here, we challenge the ability of a recently developed LLM-based platform, AI co-scientist, to generate high-level hypotheses by posing a question that took years to resolve experimentally but remained unpublished: How could capsid-forming phage-inducible chromosomal islands (cf-PICIs) spread across bacterial species? Remarkably, AI co-scientist’s top-ranked hypothesis matched our experimentally confirmed mechanism: cf-PICIs hijack diverse phage tails to expand their host range. We critically assess its five highest-ranked hypotheses, showing that some opened new research avenues in our laboratories. We benchmark its performance against other LLMs and outline best practices for integrating AI into scientific discovery. Our findings suggest that AI can act not just as a tool but as a creative engine, accelerating discovery and reshaping how we generate and test scientific hypotheses.
Syngap+/-CA1 pyramidal neurons exhibit upregulated translation of long mRNAs associated with LTP
Authors: Singh Aditi , Rizzi Manuela , Seo Sang S. , Osterweil Emily K. 
Published: February 2025

AbstractIn theSyngap+/-model of SYNGAP1-related intellectual disability (SRID), excessive neuronal protein synthesis is linked to deficits in synaptic plasticity. Here, we use Translating Ribosome Affinity Purification and RNA-seq (TRAP-seq) to identify mistranslating mRNAs inSyngap+/-CA1 pyramidal neurons that exhibit enhanced synaptic stability and impaired long-term potentiation (LTP). We find the translation environment is significantly altered in a manner that is distinct from theFmr1-/ymodel of Fragile X Syndrome (FXS), another monogenic model of autism and intellectual disability (ID). TheSyngap+/-translatome is enriched for regulators of DNA repair, and mimics changes induced with chemical LTP (cLTP) in WT. This includes a striking upregulation in the translation of mRNAs with a longer length (>2kb) coding sequence (CDS). In contrast, long CDS transcripts are downregulated with induction of Gp1 metabotropic glutamate receptor induced long-term depression (mGluR-LTD) in WT, and this profile is mimicked in theFmr1-/ymodel. Together, our results show theSyngap+/-andFmr1-/ymodels mimic the translation environments of LTP and LTD, respectively, consistent with the dysregulation of these plasticity states in each model. Moreover, we show that translation of >2kb mRNAs is a defining feature of LTP that is oppositely regulated during LTD, revealing a novel mRNA signature of plasticity.
Light cone distribution amplitude for the
Λ
baryon from lattice QCD
Authors: Chu Min-Huan , Bai Haoyang , Hua Jun , Liang Jian , Ji Xiangdong , Schäfer Andreas , Su Yushan , Wang Wei , Xiong Xiaonu , Yang Yi-Bo , Zeng Jun , Zhang Jian-Hui , Zhang Qi-An ,   Lattice Parton Collaboration
Published: February 2025

We calculate the leading-twist light cone distribution amplitudes of the Λ(uds) baryon using lattice QCD methods within the framework of large-momentum effective theory. Our numerical computations are carried out with Nf=2+1 stout smeared clover fermions and a Symanzik gauge action on a lattice with spacing a=0.077  fm and a pion mass of 303 MeV. To approach the large-momentum region, we simulate the equal-time correlations with the hadron momentum Pz={2.52,3.02,3.52}  GeV. We investigate the analytic properties of the baryon quasidistribution amplitude in coordinate space and validate them through our lattice calculations. After renormalization and extrapolation, we present results for the three-dimensional distribution in momentum fractions of the two light quarks. Based on these findings, we briefly discuss the phenomenological impact on weak decays of Λb and outline potential systematic uncertainties that can be improved in the future. This work lays the theoretical foundation for accessing baryon light cone distribution amplitudes from lattice QCD.

Published by the American Physical Society
2025
Expert perspectives on factors shaping metaverse adoption for cultural heritage experiences in hospitality industry within an emerging economy
Authors: Nagirikandalage Padmi , Lakhoua Cherifa , BInsardi Arnaz , Tzempelikos Nektarios , Kerry Christopher 
Published: February 2025

Purpose
Although the metaverse has been widely adopted in developed countries, there has not been any research investigating the implantation of this highly transformative technology in emerging economies and disadvantaged regions, such as Tunisia. This paper aims to critically explore the factors influencing the adoption of metaverse for cultural heritage experience and discusses how will it disrupt the future of the hospitality industry.

Design/methodology/approach
A total of 44 semi-structured interviews were conducted in the Tunisian hospitality industry who provided their expert opinions during in-depth interviews. The interviews were then analysed using thematic analysis.

Findings
The findings indicate that the metaverse presents benefits, success factors and challenges for offering cultural heritage experiences in the hospitality industry and that its adoption in poor and less developed countries is nuanced.

Practical implications
The findings of the study help hospitality managers identify opportunities and challenges in metaverse, fostering an understanding of the cultural environment and its socio-economic development as key requirements to enhance visitor experience via metaverse.

Social implications
Leveraging the metaverse for cultural enrichment can be a powerful tool for the socio-economic development of underprivileged regions, provided that it is implemented inclusively to include underprivileged labour, whose work in the industry lies on the bottom of the economic pyramid.

Originality/value
This paper further explains the impacts of metaverse on cultural heritage experience provided in the hospitality industry rooted in the previous literature relating to technology-enhanced experience.
Exploring the impact of payment method perceived value on transaction experience and willingness to pay: evidence from Innsbruck Christmas Market
Authors: Wang Ruoyuan , Chan Chung-Shing 
Published: February 2025

PurposeThis study investigates how the perceived value of payment methods affects the transaction experience at the Christmas market and how this experience influences consumer willingness to pay. Additionally, this study examines the mediating role of transaction experience.Design/methodology/approachThe sample was taken from tourists who visited the Innsbruck Christmas market in 2023. A total of 347 valid questionnaires were collected through a combination of paper questionnaires randomly distributed offline to Christmas market patrons (random sample) and questionnaires posted online (self-selected sample). Structural equation modeling (SEM) was used to analyze the data in this study.FindingsThe results demonstrate that consumers’ transaction experience at the Christmas market is significantly influenced by their perceptions of cash inefficiency, health risks associated with cash, convenience of cashless payments and security and privacy of cashless payments. Furthermore, the transaction experience has a significant impact on consumer willingness to pay. Additionally, the perceived value of payment methods and willingness to pay are mediated by the transaction experience.Originality/valueThis study examines the influence of the perceived value of payment methods on behavioral intentions in Christmas market research. It also demonstrates the mediating role of transactional experience on perceived value and willingness to pay, filling the gap in research on payment methods in Christmas markets. Additionally, the findings offer managerial contributions to destination organizations and retailers/vendors, suggesting that they should prioritize convenient payment methods to enhance revenues.
G10 cross-country connectedness over US growth
Authors: Matos Paulo Rogério Faustino , Albuquerque Vieira Davi , da Silva Cristiano , Lucena Igor 
Published: February 2025

PurposeWe extend a classic macroeconomic framework guided by extensive empirical and theoretical literature on growth transmission channels and shock decomposition, with the purpose of measuring the growth spillovers from G-10 countries to the US.Design/methodology/approachWe use a time-varying parameter vector autoregressive (TVP-VAR) model with dynamic structures to measure time-varying external spillover effects under different economic conditions, i.e. controlled by a representative set of American macroeconomic variables.FindingsBased on our empirical exercise from 1996q3 to 2023q1, we emphasize the roles of France and Russia in the late 1990s as well as the G7 (excluding the US) and Eurozone countries following the pandemic. We also provide insights into the internal transmission channels.Research limitations/implicationsWe find that Germany, Japan and Italy only managed to have a net spillover effect on the US in one or two quarters in 1996 and 1997, while the influence of Canada, China, the UK and India appears to affect American growth between 1996 and 1999. The influences of France and Russia are stronger, as they can impact the American economy for more than 30 quarters. Regarding economic blocs, the G7 (excluding the US) and the Eurozone can impact the US during and after the pandemic.Practical implicationsOur results on internal pass-through show a relevant role played by the high levels of American debt and interest rates. This finding is relevant and worrying, and it is aligned with literature on the effects of high levels of public indebtedness and inflation after the pandemic, even in developing economies. In this context, according to empirical findings reported by Matos et al. (2024) based on conditional wavelet tools, most relationships between debt and GDP are given by anti-phasic leadership of the debt (0–4-year frequency period), while inflation can lead to growth in the opposite direction (0–8-year frequency period).Social implicationsThis evidence is significant as recent years have reshaped the understanding of power, with several states emerging as new powers. The role of economic blocs after the pandemic supports this viewpoint. To summarize, both the domestic macroeconomic scenario and the geopolitical forces pose challenges to the American economy.Originality/valueOur work differs from previous related studies in two aspects. First, unlike most, we use the conditional connectedness approach outlined by Stenfors et al. (2022). Second, we extend a macroeconomic-based growth cycle model instead of a neoclassical approach.
Application of generative AI to automate numerical analysis and synthetic data generation in geotechnical engineering
Authors: Parsa-Pajouh Ali 
Published: February 2025

Purpose
This study explores the integration of generative artificial intelligence (AI) into numerical analysis workflows in geotechnical engineering to address the challenges of generating synthetic datasets. This study aims to create a framework that allows practitioners with limited programming skills to automate complex simulations, enabling the development of extensive data sets for AI and machine learning applications.

Design/methodology/approach
The study proposes a seven-step methodology using the finite element method and Python programming to auotmate numerical modelling. Generative AI, specifically ChatGPT, is used as a virtual assistant to guide practitioners through automation. The methodology is validated through a pilot study predicting excavation-induced ground displacement in Sydney’s Hawkesbury Sandstone.

Findings
Integrating generative AI into numerical analysis workflows accelerates data generation and improves the quality of synthetic datasets. The pilot study indicates that the generated datasets closely align with real-world measurements, confirming the robustness and reliability of the proposed framework.

Research limitations/implications
The study’s accuracy may be affected by assumptions in numerical analysis and input parameter quality. Future research should explore more complex geotechnical conditions, such as 3D effects, to further validate and enhance the methodology.

Practical implications
This framework provides an efficient solution for geotechnical practitioners to generate extensive datassets for AI training, reducing reliance on experienced programmers. It streamlines workflows and enhances data-driven decision-making in geotechnical engineering.

Originality/value
The paper introduces a novel integration of generative AI into numerical analysis workflows, offering an innovative approach to automate synthetic data generation. It serves as a valuable tool for advancing AI applications in geotechnical engineering, particularly for those with limited programming experience.
Associations of Antenatal Corticosteroids With Neurodevelopment in Children Aged 27–30 Months: A Population‐Based Cohort Study
Authors: Frier Emily M. , Lahti‐Pulkkinen Marius , Lin Chun , Decrue Fabienne , Zoega Helga , Allegaert Karel , Been Jasper V. , Burgner David , Duhig Kate , Einarsdóttir Kristjana , Florian Lani , Fraser Abigail , Gissler Mika , Gyamfi‐Bannerman Cynthia , Pedersen Lars Henning , Miller Jessica E. , Mol Ben W. , Murray Sarah R. , Norman Jane , Roberts Devender , Schuit Ewoud , Shi Ting , Sheikh Aziz , Vogel Joshua P. , Wood Rachael , McGoldrick Emma , Jacobsson Bo , Krispin Eyal , Reynolds Rebecca M. , Stock Sarah J. ,   the Co‐OPT Collaboration
Published: February 2025

ABSTRACTObjectiveTo examine the associations of antenatal corticosteroid (ACS) exposure with neurodevelopment in early childhood, and how these vary with gestational age at birth.DesignPopulation‐based cohort study.SettingScotland, UK.Population285 637 singleton children born at 28–41 weeks' gestation, between 1st January 2011 and 31st December 2017, who underwent health reviews at 27–30 months of age.MethodsLogistic and linear regression analyses, stratified by gestation at birth (28–33, 34–36, 37–38 and 39–41 weeks' gestation), were used to evaluate the associations between ACS exposure and neurodevelopmental outcomes, and adjusted for maternal age, body mass index, diabetes, antenatal smoking, parity, neighbourhood deprivation, birth year, child sex and age at review.Main Outcome MeasuresPractitioner‐identified concerns about any neurodevelopmental domain, and the average of five domain scores on neurodevelopmental milestones from the parent‐rated Ages and Stages Questionnaire (ASQ‐3).ResultsAfter adjustment for covariates, ACS exposure was associated with reduced neurodevelopmental concerns in children born at 28–33 weeks' gestation (OR = 0.79, 95% CI = 0.62–0.999) and with increased neurodevelopmental concerns in children born at 34–36 weeks' gestation (OR = 1.11, 95% CI = 1.01–1.21). No independent associations emerged in children born at later gestations. ACS exposure was not associated with ASQ‐3 scores in any gestational age group.ConclusionsIn early childhood, ACS exposure was associated with statistically significantly reduced neurodevelopmental concerns in children born at 28–33 weeks' gestation, and with statistically significantly increased neurodevelopment concerns in children born at 34–36 weeks' gestation. However, the effect sizes of these associations were small. No independent associations were found between ACS exposure and neurodevelopment in term‐born children.
Free Foetal Haemoglobin in Severe Early‐Onset Foetal Growth Restriction: A Prospective Multi‐Centre Study
Authors: Brook Adam , Baynes Georgia , Scargill Jonathan , Evangelinos Angelos , Brennan‐Richardson Charlotte , Dow Freya , Ginsberg Yuval , Weissbach Tal , Brodszki Jana , Hansson Eva , Diemert Anke , Hecher Kurt , Maksym Katarzyna , Marlow Neil , Spencer Rebecca N. , David Anna L. , Hansson Stefan R. , Brownbill Paul 
Published: February 2025

ABSTRACTObjectiveTo assess foetal circulating free foetal haemoglobin (fHbF) levels and heme defences, correlated to foetal circulatory biometry and foetal sex in severe early‐onset foetal growth restriction (FGR).Design, Setting and PopulationA prospective study severe early‐onset foetal growth restriction pregnancies with close clinical management (estimated foetal weight (EFW) < 3rd centile and < 600 g at 20–26 + 6 weeks; N = 20).Method & Main Outcome MeasuresTemporal foetal vascular obstetric biometry was recorded. Cord blood fHbF and key heme‐scavenger defences were measured and compared with normal term births (N = 26) and births with late‐onset FGR (N = 12).ResultsfHbF was elevated in early‐onset FGR compared with normal pregnancy: 0.437(0.337/0.753) mg/mL; and 0.098 (0.045/0.264) mg/mL, respectively (p < 0.0001); whilst hemopexin was downregulated in early‐ (p < 0.001) and late‐onset FGR (p < 0.0001), compared to normal pregnancy: 36(14/81) μg/mL, 25(19/40) μg/mL, and 155(132/219) μg/mL, respectively; median (interquartile ranges). Early‐onset FGR male foetuses had higher HbF compared with the normal males: 0.710(0.433/0.857) mg/mL; (p < 0.001); 0.099(0.043/0.246) mg/mL, respectively; median (interquartile ranges). In early‐onset FGR, ratios of mid‐cerebral artery and umbilical artery pulsatility indices correlated positively with heme‐scavenger levels (hemopexin and a heme‐handling composite measure: p < 0.05, r = 0.672; and p < 0.01, r = 0.620; respectively), indicating lower levels are associated with cerebral vascular redistribution. These heme handling measures also positively correlated with gestational age at delivery (r = 0.713 and r = 0.642, respectively, p < 0.01, both) and birthweight (r = 0.742, p < 0.001; and r = 0.523, p < 0.05; respectively).ConclusionOverproduction of fHbF and an inadequate heme defence may contribute to foetal distress and poor umbilical arterial Dopplers in early onset FGR due to elevated placental vascular resistance and vascular inflammation.
The COVID‐19 Pandemic and the Gender Mental Health Gap
Authors: Jamal Ayesha 
Published: February 2025

ABSTRACTObjectiveTo examine the relationship between the COVID‐19 pandemic and the preexisting gender mental health gap in symptoms as well as service utilization.Study Setting and DesignUsing repeated cross‐sectional data, the study compares the gender mental health gap between American female and male college students before and after the start of the COVID‐19 pandemic. Adjustments are made for preexisting trends. The study constructs an overall index of poor mental health, based on self‐reported symptoms and service utilization related to anxiety, depression, and eating disorders. The gender mental health gap is also broken into the gender symptoms gap and the gender service utilization gap; each is analyzed separately by race, ethnicity, and sexuality.Data Sources and Analytic SampleThe study draws on secondary data from the National College Health Assessment Surveys from fall 2015 to fall 2022 and focuses on young American college students, ages 18–25 years old.Principal FindingsThe gender mental health gap, measured using the overall index of poor mental health, increased by 15.6% [95% CI: 5.67–25.6]. The gender symptom gap in eating disorders increased by 38.8% [95% CI: 24.4–53.1] and is consistently observed across race, ethnicity, and sexuality, except among non‐Hispanic Asian students. Minimal to no long‐term significant differences are observed for the gender symptom gap in anxiety and depression. The gender service utilization gap, on the other hand, increased for all illnesses, with slight increases for anxiety and depression.ConclusionsThe COVID‐19 pandemic was accompanied by an exacerbation of the already existing rise in eating disorders among female college students. In symptoms of anxiety and depression, the gap between women and men stayed constant during the pandemic. Action is required to understand and address the factors that led to a rise in the symptoms of eating disorders among women.
Identifying Barriers to Being Offered and Accepting a Telehealth Visit for Cancer Care: Unpacking the Multi‐Levels of Documented Racial Disparities in Telehealth Use
Authors: Dunn Matthew R. , Fridman Ilona , Kinlaw Alan C. , Neslund‐Dudas Christine , Tam Samantha , Elston Lafata Jennifer 
Published: February 2025

ABSTRACTObjectiveTo evaluate patient‐ and area‐level factors in relation to telehealth visit use in cancer care.Study Setting and DesignWe surveyed a cohort of adults with an upcoming healthcare visit related to their cancer treatment at two academic medical centers (one in central North Carolina and one in southeast Michigan) and their community affiliates. Black adults and those with a scheduled telehealth visit were purposively oversampled during recruitment. We linked respondent residential addresses to area‐level measures, including broadband access. The two patient‐reported outcomes of interest were (1) whether a choice in visit type (virtual or in‐person) was offered and (2) scheduled visit type.Data Sources and Analytic SampleWe assembled a cohort of 773 adults (response rate = 15%). After excluding nonrecall for being offered a choice, the analytic sample was 725 adults.Principal FindingsThe sample was 46% aged < 65 years, 42% Black, and 67% women. Black respondents were less likely than non‐Black respondents to be offered a choice, 15% versus 23%, prevalence difference (PD) and 95% CI = (−8.7%, CI: −14.4, −3.0) and if offered a choice, less likely to accept a telehealth visit (20% vs. 67%; PD = −47.0%, CI: −62.0, −32.0). Compared to men, women had a lower frequency of visit choice (16% vs. 27%; PD = −10.9%. CI: −17.4, −4.4) and accepted telehealth visits (42% vs. 63%; PD = −20.8%, CI: −36.8, −4.7). Respondents who expressed technology‐related worries were less likely to accept a telehealth visit. Lower area‐level technology access (e.g., broadband ownership) and higher poverty were nonsignificantly associated with less offering and less scheduling of telehealth visits.ConclusionsInterventions to improve access to telehealth in cancer care and mitigate structural inequities (namely racism and sexism) should consider patient‐ and area‐level barriers to being offered a choice in visit type and the ability to accept a telehealth visit.