bluuebunny/crossref_metadata_2025_split huggingface dataset:
The conserved N-terminal SANT1-binding domain (SBD) of EZH2 Regulates PRC2 Activity
Authors: Patriotis Agata L. , Soto-Feliciano Yadira , Barrows Douglas W. , Khan Laiba , Leboeuf Marylene , Lund Peder J. , Marunde Matthew R , Djomo Annaelle , Keogh Michael-Christopher , Carroll Thomas S. , Garcia Benjamin A. , Soshnev Alexey A. , Allis C. David 
Published: February 2025

AbstractPolycomb group proteins maintain gene expression patterns established during early development, with Polycomb Repressive Complex 2 (PRC2) methyltransferase a key regulator of cell differentiation, identity and plasticity. Consequently, extensive somatic mutations in PRC2, including gain- or loss- of function (GOF or LOF), are observed in human cancers. The regulation of chromatin structure by PRC2 is critically dependent on its EZH2 (Enhancer of Zeste Homolog 2) subunit, which catalyzes the methylation of histone H3 lysine 27 (H3K27). Recent structural studies of PRC2 revealed extensive conformational changes in the non-catalytic EZH2 N-terminal SANT-Binding Domain (SBD) during PRC2 activation, though the functional significance remains unclear. Here, we investigate how the SBD regulates PRC2 function. The domain is highly conserved in metazoans, dispensable for PRC2 assembly and chromatin localization, yet required for genome-wide histone H3K27 methylation. Further, we show that an intact SBD is necessary for the proliferation of EZH2- addicted lymphomas, and its deletion in the presence ofEZH2GOF mutations inhibits cancer cell growth. These observations provide new insights to the regulation of PRC2 activity in normal development and malignancy.
Diploidy confers genomic instability inSchizosaccharomyces pombe
Authors: Park Joshua M. , Pinski Daniel F. , Forsburg Susan L. 
Published: February 2025

AbstractWhole genome duplication, or polyploidy, has been implicated in driving genome instability and tumorigenesis. Recent studies suggest that polyploidy in tumors promotes cancer genome evolution, progression, and chemoresistance resulting in worse prognosis of survival. The mechanisms by which whole genome duplications confer genome instability are not yet fully understood. In this study, we useSchizosaccharomyces pombe(fission yeast) diploids to investigate how whole genome duplication affects genome maintenance and response to stress. We find thatS. pombediploids are sensitive to replication stress and DNA damage, exhibit high levels of loss of heterozygosity, and become dependent on a group of ploidy-specific lethal genes for viability. These findings are observed in other eukaryotic models suggesting conserved consequences of polyploidy. We further investigate ploidy-specific lethal genes by depleting them using an auxin-inducible degron system to elucidate the mechanisms of genome maintenance in diploids. Overall, this work provides new insights on how whole genome duplications lead to genome instability.
The distribution of the number of mutations in the genealogy of a sample from a single population
Authors: Fu Yun-Xin 
Published: February 2025

AbstractThe numberKof mutations in the genealogy of a sample ofnsequences from a single population is one essential summary statistics in molecular population genetics and is equal to the number of segregating sites in the sample under the infinitesites model. Although its expectation and variance are the most widely utilized properties, its sampling formula (i.e., probability distribution) is the foundation for all explorations related toK. Recently, it has been established thatKis subject to the Central Limit Theorem, and thus has asymptotic normality. However, due to its slow convergence to normality, the finite-sample distribution remains indispensable. Although an analytic sampling formula exists, its numerical application is limited due to susceptibility to error propagation. This paper presents a new sampling formula forKin a random sample of DNA sequences from a neutral locus without recombination, taken from a single population evolving according to the Wright-Fisher model with a constant effective population size, or the constant-in-state model, which allows the effective population size to vary across different coalescent states. The new sampling formula is expressed as the sum of the probabilities of the various ways mutations can manifest in the sample genealogy and achieves simplicity by partitioning mutations into hypothetical atomic clusters that cannot be further divided. Under the Wright-Fisher model with a constant effective population size, the new sampling formula is closely analogous to the celebrated Ewens’ sampling formula for the number of distinct alleles in a sample. Numerical computation using the new sampling formula is accurate and is limited only by the burden of enumerating a large number of partitions of a largeK. However, significant improvement in efficiency can be achieved by prioritizing the enumeration of partitions with a large number of parts.
Implications of latest NICER data for the neutron star equation of state
Authors: Brandes Len , Weise Wolfram 
Published: February 2025

As an update to our previously performed Bayesian inference analyses of the neutron star matter equation-of-state and related quantities, the additional impact of the recently published NICER data of PSR J0437-4751 is examined. Including the mass and radius distributions of this pulsar in our database results in modest shifts from previously inferred median posterior values of radii R and central densities nc for representative 1.4M⊙ and 2.1M⊙ neutron stars: radii are reduced by about 0.2–0.3 km to values of R1.4=12.1±0.5  km and R2.1=11.9−0.6+0.5  km (at the 68% level), and central densities increase slightly to values of nc(1.4M⊙)/n0=2.8±0.3 and nc(2.1M⊙)/n0=3.8−0.7+0.6 (in units of equilibrium nuclear matter density, n0=0.16  fm−3)—i.e., they still fall below five times nuclear saturation density at the 68% level. As a further significant result, the evidence established by analyzing Bayes factors for a trace anomaly measure, Δ=1/3−P/ϵ<0, inside heavy neutron stars is raised to .

Published by the American Physical Society
2025
Automated graph-based detection of quantum control schemes: Application to molecular laser cooling
Authors: Dawid Anna , Bigagli Niccoló , Savin Daniel W. , Will Sebastian 
Published: February 2025

One of the demanding frontiers in ultracold quantum science is identifying laser cooling schemes for complex atoms and molecules out of their vast spectra of internal states. Motivated by the prospect of expanding the set of available ultracold molecules for applications in fundamental physics, chemistry, astrochemistry, and quantum simulation, we propose and demonstrate an automated graph-based search approach for viable laser cooling schemes. The method is time efficient, reproduces the results of previous manual searches, and reveals a plethora of new potential laser cooling schemes. We discover laser cooling schemes for YO, C2, OH+, CN, and CO2, including surprising schemes that start from highly excited states or do not rely on a strong main transition. A central insight of this work is that the reinterpretation of quantum states and transitions between them as a graph can dramatically enhance the ability to identify new quantum control schemes for complex quantum systems. As such, this approach will also apply to complex atoms and, in fact, any complex many-body quantum system with a discrete spectrum of internal states.

Published by the American Physical Society
2025
Eat green, be healthy: Gen-Z’s green food purchase intention – moderated by greenwash and fear of pandemic recurrence
Authors: Zhang Yi , Quoquab Farzana , Mohammad Jihad , Tao Yanrui Michael 
Published: February 2025

PurposeThe present study aims to investigate factors influencing Gen-Z consumers' “green food purchase intention” and “healthy lifestyle”. Guided by the attribution theory, “perceived usefulness of green food”, “food safety concerns” (internal attributes), “perceived threat of environmental problems” and “green peer influence” (external attributes) are considered the predictors of “attitude towards green food”, which eventually lead to a healthy lifestyle and green food purchase intention. Besides, “fear of pandemic recurrence” and “greenwash” are tested as moderators.Design/methodology/approachThe Structural Equation Modelling-Partial Least Squares (PLS-SEM) technique was employed for the model testing. An online questionnaire survey was conducted among Gen-Z Chinese adults, which yielded 556 complete, valid responses.FindingsThe findings indicate that “consumers' attitudes towards green food” are positively influenced by “perceived threat of environmental problems”, “perceived usefulness of green food”, “concerns about food safety”, and the influence of “green peers”. In addition, results revealed that “attitude toward green food” exerts a positive effect on “healthy lifestyle” and “green food purchase intention”. The study supports the moderating role of “perceived greenwash” in the relationship between “attitude” and “intention to purchase green food”. However, there was no evidence to support the moderating effect of “fear of pandemic recurrence” in relation to a “healthy lifestyle”.Originality/valueThis study is a pioneer in utilizing the attribution theory to predict the drivers of a “healthy lifestyle” and the “intention to purchase green foods”. Furthermore, this study predicted the moderating influence of “fear of pandemic recurrence” on the relationship between attitude and “healthy lifestyle”, a link that has not been tested in previous research. Furthermore, it introduces a novel examination of the moderating effect of “perceived greenwash” on the relationship between “attitudes” and “purchase intentions”.
Sri Sai Tea: unraveling the forecasting conundrum
Authors: Datta Soumyajyoti 
Published: February 2025

Learning outcomes
This case study aims to familiarize the participants with the functioning of the herbal tea industry in an emerging economy like India; understand core concepts, key terminologies and the business relevance of different types of business forecasting; and execute time series forecasting models using MS Excel and interpreting the results.

Case overview/synopsis
This case study unveils an important operational concern faced by Deepshika Das, the production manager at Sri Sai Tea Trading Company located at Cuttack in Odisha, India, about future sales projections. The company was gaining popularity for a unique herbal tea called “Chaa Lemon Tea.” However, the company had been experiencing frequent overstocking and understocking due to inappropriate qualitative forecasting. This case study underscores the importance of the concepts associated with quantitative forecasting. It demonstrates the analysis of time series data, building forecasting models and their interpretations using MS Excel.

Complexity academic level
This case study can be used as a systematic learning tool for postgraduate business school students and master’s level industrial engineering students. This case study can be discussed in courses such as operations and supply chain management, business statistics and quantitative decision-making.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 9: Operations and Logistics.
Paytm’s crossroads: an analyst’s dilemma
Authors: Simon Aneeta Elsa , Ramesh Latha 
Published: February 2025

Learning outcomes
This case study enables participants to:▪ To understand the fintech landscape in India and assess how market dynamics can impact Paytm’s valuation.▪ To evaluate the drivers affecting the value of Paytm and arrive at Paytm’s valuation.▪ To critically appraise the investment decision made.

Case overview/synopsis
Rajani Chandran, a seasoned financial analyst, relooks her recommendation of Paytm in light of the recent revocation of its Payment Bank License. Paytm, the flagship service of One97 Communications Ltd., a financial technology company, is a pioneer in the Indian digital payments and financial services market. However, the developments post going public in 2021 were not always favorable. The frequent fallout with Reserve Bank of India brought restrictions on onboarding new customers and ultimately the revocation of the license. This drastic move is of huge concern to those who have invested in the company. Thus, given this backdrop, Rajani initially explored the dynamic landscape of the Indian digital payments and fintech industry, considering macroeconomic factors, competition and regulatory dynamics. She delved into Paytm’s financial performance to gauge its position in the market. The next phase of the careful scrutiny involved arriving at the equity value of the venture using the discounted cash flow model. Finally, Rajani critically appraised the drivers of valuation, incorporating both quantitative and the story she has crafted around Paytm. Consequently, participants in this case study are prompted to evaluate Paytm and arrive at a valuation and furnish a comprehensive recommendation based on their analyses, thus understanding the intricacies of evaluating a fintech company with immense potential. This case study serves as a valuable resource for students seeking to comprehend the complexities of financial analysis and valuation within the context of a dynamic and evolving industry landscape.

Complexity academic level
The case is best suited for a course on Financial Statement Analysis while discussing how the financial statements of new-age tech companies can be analyzed and Business Valuation while introducing DCF valuation. The case serves as a comprehensive example of the multifaceted challenges and considerations that a buy-side analyst should have while valuing a company and pitching an investment within the fintech industry. Designed for second-year MBA students, the case assumes familiarity with financial reporting and strategic management concepts such as Political, Economic, Social, Technological, Legal and Environmental (PESTLE) and strength, weakness, opportunity and threat (SWOT) analyses and Business Canvas Model.

Supplementary material
Teaching notes are available for educators only.

Subject code
CSS 1: Accounting and Finance.
Unveiling the gaze: deciphering key factors in selecting knowledge workers through eye-tracking analysis
Authors: Pourhosein Mahshid , Sabokro Mehdi 
Published: February 2025

PurposeThe purpose of this study is to identify and analyze the characteristics and visual patterns of successful knowledge workers using quantitative methods, particularly eye-tracking technology. By conducting a systematic review and matching identified factors with theoretical literature, the research aims to uncover key attributes that contribute to the effectiveness of knowledge workers. These insights are intended to improve employee selection processes, ensuring the right candidates are chosen based on their cognitive, behavioral and visual traits.Design/methodology/approachA mixed-methods approach is employed in this study, consisting of three phases: (1) a systematic literature review identifies key characteristics of successful knowledge workers, (2) these factors are aligned with theoretical frameworks and expert insights to assess their applicability and (3) empirical data is collected through questionnaires and eye-tracking assessments involving ten high-performing site design employees and ten students from Shahid Beheshti University. SPSS software and Tobii Pro Lab tools are used for data analysis to establish correlations between eye movement patterns and attributes of effective knowledge workers.FindingsThe findings reveal that students whose eye movement patterns resemble those of high-performing knowledge workers also share similar cognitive and behavioral characteristics. Identified key attributes include enhanced problem-solving skills, adaptability and effective communication. The study further highlights the potential of eye-tracking technology as a valuable tool in employee selection, offering insights into visual behaviors that correlate with high performance in knowledge work. These findings provide a deeper understanding of the critical traits that optimize organizational performance.Originality/valueThis study presents a novel approach by integrating eye-tracking technology into the knowledge worker selection process. It provides empirical evidence of the visual and cognitive patterns associated with high performance, thereby enhancing the theoretical understanding of knowledge worker selection. The study contributes valuable insights for organizations aiming to refine their hiring practices, emphasizing the importance of both cognitive skills and visual behaviors in candidate assessment. This research lays the groundwork for future studies exploring the intersection of technology and human resource management to optimize workforce effectiveness.
Driving competence across sectors: high-involvement work practices and creative self-efficacy in public and private organizations
Authors: Islam Md Shamirul , Amin Muslim , Karatepe Osman M. 
Published: February 2025

Purpose
Enhancing employee competence is essential for an organization’s success, but it can be challenging due to the varying work practices across different sectors. This study aims to examine how high-involvement work practices (HIWPs) and creative self-efficacy contribute to competence development in public and private banks. It provides insights into the unique dynamics of each sector.

Design/methodology/approach
A total of 373 bank professionals from Bangladesh were analyzed, comprising 156 individuals from public banks and 217 from private banks. The hypothesized relationships were examined using structural equation modeling.

Findings
Information sharing is a significant driver of competence in private banks, while empowerment is the primary determinant within public banks. Creative self-efficacy mediates this relationship, enhancing the influence of HIWPs on competence development. Furthermore, sectoral variances indicate that employment contracts and organizational contexts play a crucial role in shaping the impact of HIWPs on competence development.

Practical implications
Adapting HIWPs to different sectors’ needs can significantly enhance employee competence and overall organizational performance. By integrating creative self-efficacy into recruitment processes and promoting supportive work environments, organizations can further stimulate intrinsic motivation and facilitate the development of employee competencies. These insights offer practical guidance for HRM practices applicable to public and private sectors.

Originality/value
This research enhances existing literature by elucidating specific antecedents of competence within the banking sector. It provides practical insights for using individual motivators and human resource management strategies across various organizational contexts.
Cultural drivers behind employees neutralizing deviant information systems security behaviors
Authors: Mohammed Yimer , Warkentin Merrill , Beshah Tibebe 
Published: February 2025

Purpose
This study aims to investigate how cultural factors – specifically power distance (PD) and uncertainty avoidance (UA) – affect employees’ use of neutralization techniques to rationalize deviant information systems (IS) behaviors. The goal is to enhance strategies for managing insider threats and improving security policies.

Design/methodology/approach
A cross-sectional survey was used to examine how national culture affects neutralization strategies related to IS misuse. A scenario-based survey was used to gather data from 292 employees, stressing four top ranked IS deviant behaviors in Ethiopian organizations. Using SmartPLS 4.0 software, the study validates measurement and structural models using partial least squares structural equation modeling. It then uses bootstrapping procedures to assess hypotheses that predict the use of justifications in situations of IS misuse.

Findings
The research finds that all four neutralization techniques – appeal to higher loyalty, claim of normalcy, defense of necessity and denial of responsibility – significantly predicted employees’ IS deviant use intention behaviors. PD and UA cultures also significantly influence IS deviant use intention, with neutralization techniques mediating this relationship, validating the model’s predictive relevance.

Research limitations/implications
The reliance on self-reported data and a cross-sectional design may limit the accuracy and causal inference of the findings. Additionally, the focus on Ethiopian respondents may restrict generalizability, highlighting the need for research in diverse contexts. Future studies could explore longitudinal or experimental designs and examine neutralization techniques and knowledge management to understand IS security.

Originality/value
This study introduces a novel model illustrating how cultural values, such as PD and UA, influence employees’ use of neutralization techniques to justify deviant behavior in Ethiopian organizations. It emphasizes the mediating role of these techniques and the need for culturally tailored anti-neutralization strategies and effective security awareness programs.
Buy now, pay later consumer credit behavior: impacts on financing decisions
Authors: Cervellati Enrico Maria , Filotto Umberto , Sgrulletti Dario , Stella Gian Paolo 
Published: February 2025

Purpose
The rapid expansion of buy now, pay later (BNPL) services has attracted significant interest from academics, policymakers and industry professionals. This paper aims to explore the BNPL phenomenon from the perspective of consumer behavior, specifically its impact on financial decision-making.

Design/methodology/approach
This research is supported by empirical evidence from a survey conducted with 1,457 participants. The survey collected detailed information on participants’ attitudes toward BNPL services, their familiarity with these services and their actual usage patterns. The authors used statistical analysis techniques to examine the relationships between these variables and the likelihood of adopting other consumer credit options. The methodology ensured a comprehensive understanding of how BNPL services influence broader financial behaviors among consumers.

Findings
The authors discovered that personal attitudes toward BNPL, along with familiarity and actual use of these services, significantly influence the likelihood of adopting other consumer credit options. The results highlight the critical role that BNPL services play in influencing consumer financial behaviors and the increased adoption of additional credit instruments.

Practical implications
The findings underscore the importance of understanding consumer attitudes and behaviors toward BNPL services, which can inform the development of policies and practices to manage the growth of these services and their impact on financial decision-making.

Originality/value
This study provides novel insights into the influence of BNPL services on consumer financial behaviors, contributing to the literature on consumer credit and financial decision-making by highlighting the specific role of BNPL in shaping credit adoption trends.
Strategic Reneging and Market Power in Sequential Markets
Authors: Benatia David , de Villemeur Étienne Billette 
Published: February 2025

ABSTRACTThis article investigates the incentives for firms with market power to manipulate markets by strategically reneging on forward commitments. We first study the behavior of a dominant firm in a two‐period model with demand uncertainty. We then use the model's predictions and a machine learning approach to investigate multiple occurrences of reneging on long‐term commitments in Alberta's electricity market in 2010–2011. We find that a supplier significantly increased its revenues by strategically reneging on its capacity availability obligations, causing Alberta's annual electricity procurement costs to increase by as much as $600 million (+17%).