bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disrupted Post-Transcriptional Regulation of Gene Expression as A Hallmark of Fatty Liver Progression
Authors: Takaoka Shohei , Jaso-Vera Marcos E , Ruan Xiangbo 
Published: September 2024

ABSTRACTIt is known that both transcriptional and post-transcriptional mechanisms control the messenger RNA (mRNA) levels. Compared to transcriptional regulations, our understanding of how post-transcriptional regulations adapt during fatty liver progression at the whole transcriptome level is unclear. While traditional RNA-seq analysis uses only reads mapped to exons to determine gene expression, recent studies support that intron-mapped reads can be reliably used to estimate gene transcription. In this study, we analyzed differential gene expression at both exon and intron levels using two liver RNA-seq datasets from mice that were fed a high-fat diet for seven weeks (mild fatty liver) or thirty weeks (severe fatty liver). We found the correlation between gene transcription and mature mRNA levels was much lower in mice with mild fatty liver as compared with mice with severe fatty liver. This result indicates broad post-transcriptional regulations for early fatty liver and such regulations are comprised for severe fatty liver. Specifically, Gene Ontology analysis revealed that genes involved in synapse organization and cell adhesion were transcriptionally upregulated, while their mature mRNAs were unaffected in the mild fatty liver. Further characterization of post-transcriptionally suppressed genes at early fatty liver revealed that their mRNAs harbor significantly longer 3’ UTR, one of the major features that may subject RNA transcripts to non-sense mediated RNA decay (NMD). We further show that the expression of representative genes that were post-transcriptionally suppressed were upregulated in mice with hepatocyte-specific defect of NMD. Finally, we provide data supporting a time-dependent decrease in NMD activity in the liver of a diet-induced metabolic dysfunction-associated fatty liver disease mouse model. In summary, our study supports that NMD is essential in preventing unwanted/harmful gene expression at the early stage of fatty liver and such a mechanism is lost due to decreased NMD activity in mice with severe fatty liver.
Adolescent development of anxiety-related behavior and shifts in behavioral responsiveness to estradiol in female mice
Authors: Schulz Kalynn M. , Chavez Marcia C. , Forrester-Fronstin Zoey 
Published: September 2024

AbstractEarly pubertal onset during adolescence is consistently linked with increased risk of anxiety and depression in girls. Although estradiol tends to have anxiolytic effects in adulthood, whether sensitivity to estradiol’s anxiolytic actions increases during adolescence is not clear. Using a rodent model, the current study tested the hypothesis that a shift in sensitivity to the anxiolytic effects of estradiol occurs during adolescence. To test this hypothesis, prepubertal and adult C57BL/6 female mice were ovariectomized, implanted with vehicle- or estradiol-filled silastic capsules, and behavioral tested one week later in the open field and elevated zero maze. Our hypothesis predicted that estradiol would decrease anxiety-related behavior to a greater extent in adults than in adolescent females, however, our results did not support this hypothesis. In the open field, estradiol implants significantly decreased anxiety-like behavior in adolescent females (relative to vehicle) and had little to no effect on the behavior of adults. These data suggest that adolescence is associated with a downward shift in sensitivity to the anxiolytic effects of estradiol on behavior in the open field. In contrast, although estradiol treatment did not influence anxiety-like responses in the elevated zero maze in early adolescent or adult females, adolescent females displayed significantly higher levels of anxiety-like behavior than adults. These findings demonstrate that substantial changes in anxiety-related behavior occur during adolescence, including a context-dependent shift in behavioral responsiveness to estradiol.
Abundant clock proteins point to missing molecular regulation in the plant circadian clock
Authors: Urquiza-García Uriel , Molina Nacho , Halliday Karen J. , Millar Andrew J. 
Published: September 2024

AbstractUnderstanding the biochemistry behind whole-organism traits such as flowering time is a longstanding challenge, where mathematical models are critical. Very few models of plant gene circuits use the absolute units required for comparison to biochemical data. We refactor two detailed models of the plant circadian clock from relative to absolute units. Using absolute RNA quantification, a simple model predicted abundant clock protein levels inArabidopsis thaliana, up to 100,000 proteins per cell. NanoLUC reporter protein fusions validated the predicted levels of clock proteinsin vivo. Recalibrating the detailed models to these protein levels estimated their DNA-binding dissociation constants (Kd). We estimate the sameKdfrom multiple resultsin vitro, extending the method to any promoter sequence. The detailed models simulated theKdrange estimated from LUX DNA-bindingin vitrobut departed from the data for CCA1 binding, pointing to further circadian mechanisms. Our analytical and experimental methods should transfer to understand other plant gene regulatory networks, potentially including the natural sequence variation that contributes to evolutionary adaptation.
A toolkit for mapping cell identities in relation to neighbours reveals Notch-dependent heterogeneity within neuromesodermal progenitor populations
Authors: French Matthew , Portero Rosa , Dale J. Kim , Blin Guillaume , Wilson Val , Lowell Sally 
Published: September 2024

AbstractPatterning of cell fates is central to embryonic development, tissue homeostasis, and disease. Quantitative analysis of patterning reveals the logic by which cell-cell interactions orchestrate changes in cell fate. However, it is challenging to quantify patterning when graded changes in identity occur over complex 4D trajectories, or where different cell states are intermingled. Furthermore, comparing patterns across multiple individual embryos, tissues, or organoids is difficult because these often vary in shape and size.Here we present a toolkit of computational approaches to tackle these problems. These strategies are based on measuring properties of each cell in relation to the properties of its neighbours to quantify patterning, and on using embryonic landmarks in order to compare these patterns between embryos. We use this toolkit to characterise patterning of cell identities within the caudal lateral epiblast of E8.5 embryos, revealing local patterning in emergence of early mesoderm cells that is sensitive to inhibition of Notch activity.
Light-induced orbital magnetism in metals via inverse Faraday effect
Authors: Sharma Priya , Balatsky Alexander V. 
Published: September 2024

We present a microscopic calculation of the inverse Faraday effect in metals. We derive a static local magnetic moment induced on the application of high-frequency light, using the Eilenberger formulation of quasiclassical theory. We include the effect of disorder and formulate a theory applicable across the entire temperature range, in the absence of external applied fields. For light-induced electric fields of amplitude ∼100kV/cm, the induced fields are large ∼0.1T for metallic Nb. The predictions of our theory agree with recent experimental and theoretical results [O. H.-C. Cheng , and J. Hurst , ]. An extension of this approach to superconductors would open a new route of inducing orbital magnetic field and potentially vortices in superconductors.

Published by the American Physical Society
2024
Decay of a microsecond seniority 3 isomeric state in
Hf155
Authors: Alayed B. , Page R. D. , Joss D. T. , Uusitalo J. , Qi C. , Briscoe A. D. , AlAqeel M. A. M. , Andel B. , Antalic S. , Auranen K. , Ayatollahzadeh H. , Badran H. , Barber L. , Beeton G. , Birova M. , Bogdanoff V. , Cubiss J. G. , Cullen D. M. , Deary J. , Forsberg U. , Grahn T. , Greenlees P. T. , Hilton J. B. , Illana A. , Joukainen H. , Judson D. S. , Julin R. , Jutila H. , Keatings J. M. , Labiche M. , Leino M. , Lewis M. C. , Louko J. , Luoma M. , Martel I. , McCarter A. , McKee P. P. , Mosat P. , Nathaniel S. N. , Neuvonen O. , O'Donnell D. , Ojala J. , Page C. A. A. , Plaza A. M. , Pakarinen J. , Papadakis P. , Parr E. , Partanen J. , Rahkila P. , Romero J. , Ruotsalainen P. , Sandzelius M. , Sarén J. , Saygi B. , Smallcombe J. , Smith J. F. , Sorri J. , Sullivan C. M. , Szwec S. , Tann H. , Tolosa-Delgado A. , Uusikylä E. , Venhart M. , Waring L. J. , Zimba G. 
Published: September 2024

Excited states in the neutron-deficient nuclide Hf155 have been investigated in experiments performed at the Accelerator Laboratory of the University of Jyväskylä. The Hf155 nuclei were produced in fusion-evaporation reactions induced by beams of 295 and 315 MeV Ni58 ions bombarding an isotopically enriched Pd102 target and separated using the recoil mass separator MARA. An isomeric state having a half-life of 510(30) ns was discovered and is interpreted as a seniority υ=3, (πh11/22⊗νf7/2)27/2− configuration. The γ-ray transitions emitted in the deexcitation of the isomeric state to the ground state were identified and a level scheme was constructed, from which the excitation energy of the isomer was determined to be 2581.5(10) keV. A B(E2) value of 0.45(3) W.u. was deduced for the 105.4 keV transition depopulating the isomeric state. The deduced level scheme and B(E2) value are compared with systematics and shell-model calculations.

Published by the American Physical Society
2024
Exploring the relationships between digital transformation, organizational slack and business performance: a configurational approach
Authors: Depino-Besada Nahuel Ignacio , Sartal Antonio , León-Mateos Fernando , Llach Josep 
Published: September 2024

PurposeThe survival of companies today hinges on their adaptability and flexibility, with digital transformation (DT) and organizational slack (OS) playing crucial roles. Despite their recognized importance, these factors are often studied separately. This study aims to explore how OS facilitates DT and evaluate their synergies and trade-offs to improve performance.Design/methodology/approachUsing data from the European Manufacturing Survey, structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA), we investigate causal relationships and possible combinations between different dimensions of OS and DT that contribute to business performance.FindingsWe confirmed the positive effect of OS and DT on business performance, highlighting the importance of organizational over technological factors. While not definitively establishing OS as a precursor to DT, our findings underscore the need for human and operational slack to improve performance, especially in less technology-intensive contexts.Research limitations/implicationsOur findings evidence that decision-makers should integrate OS with DT initiatives to improve the firm’s competitiveness. However, it is worth noting that while OS seems essential in low-tech shopfloors, its importance is lower in high-tech environments. Furthermore, within the possible combinations, managers should promote operational slack and digitalization, as it seems fundamental to improve business performance.Originality/valueThis article contributes to the management field in three ways. First, it clarifies controversies by providing evidence of the positive roles of DT and OS as drivers of competitiveness for manufacturing firms. Second, we verify that OS is not directly linked to DT, challenging existing assumptions. Third, it investigates the combinations of OS and DT that drive business performance improvement, emphasizing their synergies and trade-offs.
Examining sustainable consumption patterns through green purchase behavior and digital media engagement: a case of Pakistan’s postmillennials
Authors: Fatima Mehreen , Ahmed Qazi Mohammed , Paracha Osman 
Published: September 2024

Purpose
The main objective of this study is to identify the variables influencing consumers' perceptions of sustainable purchasing intentions and the effects such perceptions have on actual sustainable purchasing behavior. This paper aims to develop an understanding of the postmillennial generation's consumption of sustainable products.

Design/methodology/approach
A structured questionnaire was used to collect data for quantitative analysis. It involved sampling a total of 251 respondents, which were postmillennials belonging to the twin cities of Pakistan. A series of tests were applied through Smart PLS4 for all the variables, including descriptive statistics and structural equation modeling.

Findings
The results revealed that there is a significant relationship of social value and electronic word of mouth with digital media usage (DMU). Whereas, link of functional and emotional value with DMU was insignificant. The results also portrayed that there exists a positive link between DMU and sustainable consumption behavior (SCB). Moreover, green purchase intention moderated the relationship between DMU and SCB.

Originality/value
There exists a research gap on the role of postmillennial behavioral regulation and digital media use, as potential influences on their purchase behavior. Despite the fact that digital media has been shown to influence millennials' purchasing decisions in the past, there is still a reluctance among postmillennials to engage in environmentally friendly practices. Consequently, research is necessary to comprehend sustainable consumer behaviors; especially from an unaddressed Pakistani perspective.
Validating and extending the unified model of information security policy compliance
Authors: Gerdin Marcus 
Published: September 2024

Purpose
The purpose of this study is to further validate and extend the unified model of information security policy compliance (UMISPC) developed by Moody et al. (2018).

Design/methodology/approach
To be able to compare the results of this study and those reported by Moody et al. (2018) (and followers), the same quantitative data collection method (questionnaire) and variable measurement instruments were used. Specifically, questionnaire data were collected from a department within a Swedish governmental organization comprising 150 employees. Of these, 90 answered the questionnaire which rendered a response rate of 60%. Following Moody et al. (2018), the collected data were analyzed by means of structural equation modeling.

Findings
This study generally provides empirical support for the original UMISPC as a large majority of the findings are in line with those reported by Moody et al. (2018). However, it also suggests important differences and boundary conditions.

Originality/value
This study extends the original study of Moody et al. (2018) and subsequent replication studies by testing it in a new national/organizational context. Based on their call for future research, it also develops and empirically tests the effects of a new, socially visible information system security violation scenario. Related to this, this study also revisits the role of the variable subjective norms for better understanding employee non-/compliance to information security policies by suggesting that their effects may be indirect (i.e. running through other variables in the UMISPC) rather than direct.
Developing and validating a framework to explain cruise travel intention in the United States: a crisis management perspective
Authors: Pan Tianyu , Chi Hengxuan Oscar , Fu Rachel J.C. 
Published: September 2024

PurposeThis study aims to extend the cognitive appraisal theory by developing and validating a conceptual framework to illustrate how travelers' behavioral intention is generated via a multi-stage evaluation of health-related variables.Design/methodology/approachSEM and moderator analysis were conducted to examine the theoretical framework (post-intervention event travel intention) and to investigate how the appraisal process differs across travelers with various attitudes toward vaccination.FindingsThis study found that cruise travel intention was positively influenced by the perceived hedonic value and perceived trustworthiness and negatively influenced by perceived infection risk. Furthermore, whereas perceived hedonic value, perceived trustworthiness and perceived risk of infection were all predicted by crisis management, the dimensions of crisis management operated differently. In addition, vaccination attitudes amplified the unfavorable effect of perceived risk on intention.Originality/valueDrawing on the CAT, this study developed and validated a conceptual framework to integrate crisis management with customers' behavioral intentions. This study extends existing cruise travel intention theory by demonstrating how post-pandemic travelers' behavioral intention is generated via a multi-stage appraisal-reappraisal process based on the evaluations of infection risks and cruise line crisis management.
Ethical dimensions of generative AI: a cross-domain analysis using machine learning structural topic modeling
Authors: Ali Hassnian , Aysan Ahmet Faruk 
Published: September 2024

Purpose
The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Design/methodology/approach
Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

Findings
The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

Research limitations/implications
This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

Originality/value
The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.
Sustainability and impact reporting in US higher education anchor institutions
Authors: Castillo Elizabeth , Roberts Roslyn 
Published: September 2024

PurposeThe purpose of this study is to assess how higher education anchor institutions (HEIs) voluntarily report their non-economic impacts. Its goals are to quantify the ease of public access to this information; strengthen the conceptual foundation for HEI impact reporting; and provide guidance for making HEI voluntary disclosures more accessible, comparable and systematic.Design/methodology/approachUsing an exploratory mixed methods design and purposeful sampling, this study analyzed voluntary public disclosures of 41 anchor institution universities in the USA to assess how they communicate their public value creation to stakeholders. Data sources included impact reports, donor reports, annual reports and sustainability reports. The study also analyzed the accessibility of this information by timing how long it took to locate.FindingsThe sampled US anchor institutions communicate their non-economic impact to stakeholders in myriad ways using a variety of formats. Time required to find the reports ranged from 37 to 50 min, with an average of 42.30 min. Disparate reporting formats inhibit comparability.Research limitations/implicationsOnly 41 anchor institutions were examined. The small sample may not be representative of the broader landscape of higher education institutions.Practical implicationsFindings offer guidance for improving voluntary nonfinancial disclosures to increase public confidence in higher education institutions while advancing community and global resilience. To strengthen voluntary disclosure practices, the study recommends using a standardized reporting format, framing HEI impact through socio-ecological resilience indicators, integrating reports and obtaining some form of assurance. These changes would enhance the credibility and comparability of the disclosures.Originality/valueThis research provides some of the first empirical insight into how US higher education anchor institutions report their value creation to the public. Its application of socio-ecological systems theory outlines an actionable conceptual foundation for HEI reporting by linking organizational, community and global resilience.
All are interesting to invest, I fear of missing out (FOMO): a comparative study among self-employed and salaried investors
Authors: Kumar Jitender , Rani Manju , Rani Garima , Rani Vinki 
Published: September 2024

Purpose
This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors in the Indian stock market.

Design/methodology/approach
The present research comprises two cross-sectional quantitative studies, where Study A involves data from 405 self-employed and Study B involves 393 salaried investors. Data was attained through questionnaires – the partial least squares structural equation modeling was used for data analysis.

Findings
The outcomes show that herding, overconfidence and loss aversion bias significantly impact investment intention and FOMO on both studies. Furthermore, the outcomes also indicate that herding and loss aversion bias significantly influence investment decisions in studies (A and B); however, overconfidence bias insignificantly affects the investment decisions in Study A. Besides, the results also reveal a substantial relationship between FOMO, investment intention and investment decision.

Practical implications
The findings of this paper assist practitioners (financial analysts and retail investors) in considering the various ways of analyzing investment decision outcomes by considering the joint effect of several biases.

Originality/value
This paper is an initial attempt to propose a new theoretical framework and empirically examine the impact of behavioral biases on investment decisions by considering the FOMO and investment intention among self-employed and salaried investors. This study also contributes to the behavioral finance literature; other researchers may find it valuable to attain their goals.