bluuebunny/crossref_metadata_2025_split huggingface dataset:
Apurinic/apyrimidinic endodeoxyribonuclease 2 (APEX2/APE2) is required for efficient expression ofTERTin human embryonic stem cells
Authors: Stern Josh L. , Rizzardi Lindsay F. , Gassman Natalie R. 
Published: September 2024

ABSTRACTHuman stem cells rely on enhanced DNA repair mechanisms to safeguard their ability to replenish somatic tissues. Telomerase counteracts telomere shortening and is a component of the stem cell DNA repair system that is regulated by ATM and ATR kinases. Here, we report that the DNA repair enzyme APEX2, but not its close paralog APEX1, is required for efficient telomerase reverse transcriptase (TERT) gene expression in human embryonic stem cells (hESC) and a melanoma cell line. We also observed that APEX2 knockdown significantly diminished telomerase enzyme activity. While APEX1 is known to regulate certain transcription factors, APEX2 has not been reported to influence gene expression. To gain insight into how APEX2 influences gene expression, we conducted RNA-seq following APEX2 knockdown in hESC. These results indicated that a number of genes, in addition toTERT, relied on APEX2 for efficient expression. Genes affected by APEX2 knockdown were significantly enriched for specific repetitive DNA families. These include mammalian-wide interspersed repeats (MIRs) andAluelements. Chromatin immunoprecipitation experiments demonstrated the highest APEX2 binding near MIR sequences inTERTintron 2. Surprisingly, binding was low in theTERTproximal promoter, a region known to controlTERTtranscription. MIR and other repetitive DNA regions are common sites of DNA damage, suggesting that APEX2 recruitment and repair ofTERTMIR sequences may play a role in influencingTERTexpression. This new role for APEX2 in promoting efficient gene expression deepens our understanding of an emerging cancer therapeutic target. Further, as theTERTgene plays critical roles in stem cell maintenance, organismal development and aging, as well as in short telomere disorders and cancer, our observations provide insight into new strategies to modulate the expression of this important enzyme.
Constraining long-lived particles from Higgs boson decays at the LHC with displaced vertices and jets
Authors: Wang Zeren Simon 
Published: September 2024

Long-lived particles (LLPs) originating from decays of Standard-Model-like or beyond-the-Standard-Model Higgs bosons are often featured with signatures of displaced vertices (DVs) and jets at colliders. In this work, we show that a recent ATLAS search for DVs plus jets, with its recast implementation, can efficiently place bounds on such hadronically or semileptonically decaying LLPs. In particular, we find the search is uniquely sensitive to LLP proper decay lengths of about 1–100 mm, probing complementary regions in the parameter space of the relevant models compared to other prompt and LLP searches.

Published by the American Physical Society
2024
Effective utilization of waste plastics and ammonia as biodiesel to assess performance and emission
Authors: Ramar Kumarasubramanian , Subbiah Ganesan 
Published: September 2024

Purpose
This study aims to examine the environmental effects of plastic waste on the atmosphere and its implications for disaster waste management. It focuses on using ammonia, pyrolyzed plastic oil and the effectiveness of alumina nanoparticles as a catalyst.

Design/methodology/approach
The research explores different combinations of conventional diesel and nano Al2O3 derived from pyrolyzed plastic oil (ranging from P10 to P40). Critical performance metrics evaluated include brake mean effective pressure (BMEP), brake specific fuel consumption, brake thermal efficiency and emissions of CO2, CO and NOx. The study specifically investigates the impact of adding 50 ppm of Al2O3 nanoparticles to these blends.

Findings
The findings indicate that using blended fuels with nanoadditives significantly lowers pollution. Specifically, the P30 blend with 50 ppm of Al2O3 nanoparticles greatly reduced CO emissions. Additionally, the same blend reduced NOx emissions and CO2 emissions. The P30 mix showed improved BMEP and brake thermal efficiency due to its density, calorific value and viscosity (6.3 bar). The P30 blend exhibited higher thermal efficiency due to decreased heat loss, whereas conventional diesel demonstrated the best mechanical efficiency due to its longer ignition delay.

Originality/value
This study highlights the potential of using Al2O3 nanoparticles and pyrolyzed plastic oil to reduce emissions and enhance the performance of internal combustion engines. It underscores the environmental benefits and implications for disaster waste management by converting plastic waste into useful resources and reducing air pollution.
Social class and lunch: differences in midday meal format in Santiago, Chile
Authors: Giacoman Claudia , Ayala Arancibia Pamela , Joustra Camila 
Published: September 2024

PurposeThe social sciences have extensively studied meals; nonetheless, a few have investigated the menu format, with all the data originating from European countries. Within this framework, the novelty of this research is that it analyses the relationship between social class and lunch structure among adults in a Global South city: Santiago, Chile.Design/methodology/approachThe study worked with data from the Survey of Commensality in Adults (>18) of the Metropolitan Region, which used a questionnaire and a self-administered eating event diary. The analysis unit was lunches (n = 3,595). The dependent variable was the structure of the lunches (single course, starter with a main course, a main course with dessert or a full-course menu with starter, main course and dessert). The independent variable was the individual’s social class (either the working, intermediate or service class).FindingsThe data showed that lunches are mostly semi- or fully structured (only 44.5% of the lunches reported by the participants contained a single course). The odds of eating a single course were lower in the service class than the working one and the odds of eating a full-course meal were higher in the service class than the working one.Originality/valueThe results provide new quantitative evidence from a representative sample of a Global South city about the relevance of social class as a differentiating factor in food, specifically regarding the existence of simpler meals among the lower classes.
Role of star–nonstar exchange, psychological empowerment and task complexity in shaping nonstar performance
Authors: Xue Xianfang , Wang Bei , Ali Ahsan 
Published: September 2024

PurposeThis study aims to examine how star–nonstar exchange (SNE) influences nonstars’ performance using social information processing theory.Design/methodology/approachA time-lagged survey approach is utilized to collect data from 531 nonstars in China. Structural equation modeling and process macro models are applied to test the moderated mediation model of this study.FindingsResults reveal that SNE has a positive effect on nonstars’ performance through their psychological empowerment, with task complexity moderating the relationship between psychological empowerment and innovative performance. However, no moderating effect was found for routine performance.Originality/valueAlthough previous research has delved into how leader–member exchange and team–member exchange influence employee performance. This study uniquely concentrates on how the exchange relationship between star performers and nonstars influences nonstars’ performance – a dimension that has generally been overlooked in existing literature. Findings are important for understanding SNE influence on nonstars’ performance while managing task complexity.
CEO self-transcendent values influence top managers’ socially responsible behaviors: from a social learning perspective
Authors: Jia Yingya , Yin Ziqi , Wang Xiaoyu , Fang Manci 
Published: September 2024

Purpose
This study aims to explore the impact of chief executive officers’ (CEOs) values on the socially responsible behaviors (SRBs) of top management teams. Drawing from the social learning framework, it examines the mechanisms through which CEOs’ values shape SRBs within organizational leadership.

Design/methodology/approach
Using the hierarchical regression model, this study assesses direct effects, while the Monte Carlo method is used to evaluate indirect effects. The analysis is based on time-lagged data collected from 122 CEOs and 287 corresponding top managers from small- and medium-sized enterprises in China.

Findings
The results indicate a positive correlation between CEOs’ self-transcendent values and their own SRBs (i.e. doing-good and avoiding harm behavior). This, in turn, promotes top managers’ SRBs.

Originality/value
By highlighting the micro-foundations of corporate social responsibility, this study enriches the understanding of SRBs enhancement in management teams. It reveals the significance of CEO self-transcendent values as a precursor to SRBs and elucidates the learning processes involved.
Social media in healthcare emergency management: insights from Spanish hospitals during the COVID-19 pandemic
Authors: Ravenda Diego , Valencia-Silva Maika Melina , Argilés-Bosch Josep Maria , García-Blandón Josep 
Published: September 2024

PurposeThis study aims to explore the Facebook communication strategies of Spanish hospitals during health emergencies, focusing on their role in crisis management and public information dissemination.Design/methodology/approachAutomatic topic modelling and deep learning sentiment analysis were applied to analyse 151,738 posts from 274 hospital Facebook pages (March 2020–Feb 2022). Regression analyses were used to explore the relationships between topics, sentiment scores and hospital characteristics.FindingsThe analysis revealed nine main topics, with the three most prevalent related to COVID-19: vaccine information, security measures and situational updates. This indicates that Spanish hospitals significantly relied on Facebook to manage the emergency. The communication strategies dynamically adapted to the intensity of the pandemic and varied across hospital types. Sentiment analysis showed a negative tone for posts about security measures and situational updates. These findings align with the Agenda-Setting Theory, suggesting that hospitals influenced public discourse. Vaccine information posts were more positive, resonating with the Uses and Gratifications Theory by fulfilling the audience’s need for reassurance and guidance.Originality/valueUsing replicable machine learning techniques, this study elucidates the communication strategies employed by Spanish hospitals to manage healthcare emergencies, such as the COVID-19 pandemic. It highlights factors that potentially influence these strategies and provides theoretical justifications for them. The variation in communication strategies on Facebook among different hospital categories underscores the imperative for stricter guidelines and regulations to guarantee consistent and reliable communication during emergencies. This research provides valuable insights for practitioners and policymakers aimed at developing effective health communication strategies on social media.
Artificial intelligence in entrepreneurial project management: a review, framework and research agenda
Authors: Kiani Ataullah 
Published: September 2024

PurposeThis paper delves into the transformative impact of artificial intelligence (AI) across diverse sectors, notably project management. It examines the potential of AI to revolutionize project management processes within entrepreneurial ventures, where agility, efficiency and innovation reign supreme.Design/methodology/approachThrough a comprehensive analysis, this study navigates the intersection of AI and entrepreneurial project management. It meticulously dissects the opportunities AI presents, the hurdles it introduces and the optimal strategies for harnessing its capabilities effectively. Drawing insights from complexity theory, a framework is crafted to delineate AI’s capacity to substitute human involvement, elucidating key considerations for transitioning to a digitally-driven paradigm in entrepreneurial project management.FindingsThe study underscores AI’s potential to augment project management processes significantly, particularly in fostering agility and innovation. However, challenges persist, necessitating adept navigation to maximize AI’s benefits. The framework delineates the extent to which AI can supplant human roles, offering crucial insights into the digital transformation of entrepreneurial project management.Practical implicationsPractitioners are equipped with valuable guidance on leveraging AI effectively, enhancing organizational agility and performance. Understanding the implications of AI adoption fosters informed decision-making in the realm of project management.Social implicationsThe integration of AI in entrepreneurial project management signifies broader societal shifts toward digitalization and automation. Insights from this study contribute to navigating these transformations, fostering greater resilience and adaptability in entrepreneurial endeavors.Originality/valueThis study offers a novel perspective on the intersection of AI and entrepreneurial project management, shedding light on unexplored terrain. By drawing on complexity theory, it advances a nuanced understanding of AI’s implications, paving the way for future research avenues in this dynamic field.
Higher education of sustainable food systems: a literature review
Authors: Salminen Janne , Friman Mervi , Mikkonen Kari , Mutanen Arto 
Published: September 2024

Purpose
This study aims to fill data gaps concerning solutions and practices used in sustainable food systems (SFS) in higher education (HE). The development of SFS is a vital global challenge in which HE may play a significant role.

Design/methodology/approach
Literature search and content analysis of found papers were performed. Additionally, the quantitative time trend of the emergence of research connected to SFS HE and the connectivity of content within the research papers about research questions were determined by regression analysis and data visualization, respectively.

Findings
It is evident that SFS education in universities (higher education institutes) is emerging, and the number of research papers is rapidly increasing. In the reviewed papers, universities recognized their significant role in managing wicked problems. The motivation for developing SFS education was high, with strong ambitions. SFS in HE includes developing education in-house through trans- and multidisciplinary solutions, developing education with stakeholders and supporting student growth to become responsible professionals and citizens.

Practical implications
When developing SFS education in HE both practical and theoretical research is needed. Ethical dimensions should be included in both research orientations because of the moral complexity that exists in SFS issues.

Social implications
This study shows that competence in trans- and multidisciplinary working is needed. Concomitantly, the ability of cooperation between HE, business and society is vital when solving global food challenges. Also, the local tradition of food cultivation should be respected and maintained.

Originality/value
To the best of the authors’ knowledge, this is the first review on the development of SFS education in HEIs. A qualitative content analysis and data visualization were used to enrich the review.
Leveraging epistemic data agency with data visualizations to bridge the gap between data trends and personal experiences
Authors: Kahn Jennifer , Jiang Shiyan 
Published: September 2024

Purpose
While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends.

Design/methodology/approach
The authors report on an analysis of three student cases from a design study in which middle and high school youth assembled family migration stories using data visualization technologies with socioeconomic and demographic data. The authors used interaction analysis to examine how students responded to misalignments they encountered between their families’ experiences and data trends in their models, drawing on the theoretical construct of epistemic data agency.

Findings
This case analysis demonstrates ways in which students enacted epistemic data agency. Instructional support can help students deepen inquiry and avoid certain pitfalls, such as encoding data in unsound or misleading ways to support a particular story, while encouraging students to see themselves as an epistemic authority on par with data. This study opens pathways for future research that considers how data can shape personal narratives and how students can leverage their experiences in the stories they tell with data.

Originality/value
The authors introduce the construct of epistemic data agency to describe the conceptual and material practices that reveal and shape students’ relationships to the data. The descriptions of students enacting epistemic data agency in assembling data stories informs the understanding of how to better elevate and recognize students’ efforts in relation to disciplinary norms and support deeper, meaningful student learning with and about data.
A study on radial oil seal leakage failure due to viscoelasticity under dynamic eccentricity
Authors: Xing Yangtao , Zhai Fugang , Li Shengnan , Wang Xiaonan , He Zhiqiang 
Published: September 2024

Purpose
This study aims to investigate the causes of leakage in radial oil seals under dynamic eccentricity, elucidate the influence of operating parameters on leakage failure and develop methods for predicting and preventing such leakage.

Design/methodology/approach
Based on the principle of cam motion and considering viscoelasticity, develops a motion model of the compression and release of the shaft seal and proposes a method to determine its failure. In addition, this study quantifies the leakage gap and formulates a quantitative calculation model to accurately determine the location and shape parameters of the leakage gap.

Findings
Leakage gaps predominantly occur during the release phase of the shaft seal. Their presence can be identified by comparing the descending times of the seal and the shaft during this phase. An increase in rotation speed and eccentricity heightens the likelihood of gap formation, with both the dimensions and leakage rate of the gap increasing as these factors escalate. Eccentricity, in particular, has a more pronounced effect on gap formation.

Originality/value
This study clarifies the failure mechanisms of radial oil seals under dynamic eccentricity and introduces a criterion for identifying leakage gaps, providing valuable theoretical guidance for the design and optimization of radial oil seals.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0192/.
Social influences on the psychological well-being of elderly individuals
Authors: Hossen Mohammad Shahadat , Salleh Siti Fatimah Binti 
Published: September 2024

PurposeThis research aims to analyze the primary social factors influencing the mental health and happiness of older adults. Specifically, the paper identifies the elements of social influences on the psychological well-being of elderly individuals.Design/methodology/approachEmploying a quantitative research methodology, survey data were collected to examine the psychological well-being of older adults, utilizing SPSS software version 28.0 for data analysis.FindingsPsychological well-being in the elderly is intricately linked to personal, cognitive, emotional and social aspects. Seniors experiencing reduced loneliness, ample communication opportunities, active social engagement and living with family members demonstrate higher levels of psychological well-being. Surprisingly, details of daily activities in senior age showed little impact on psychological well-being.Research limitations/implicationsThe research results may lack generalizability due to the chosen approach, prompting a need for further testing of proposed propositions.Originality/valueThis study fulfills an identified need to explore how psychological well-being is established in an elderly society, shedding light on critical social determinants.
The study of congestion factors for optimal entrance gate allocation in a seaport: a micro-level scenario model analysis
Authors: Chuchottaworn Natthapong , Raothanachonkun Pairoj 
Published: September 2024

PurposeThis paper seeks to evaluate the factors that contribute to congestion at port entrances, propose a comprehensive approach to managing port gates that addresses the factors causing traffic jams and assess the outcomes of resolving the issue through an optimal model for incoming container truck traffic.Design/methodology/approachThe study employed a one-way ANOVA and a one-way MANOVA to examine the impact of congestion-causing factors on the waiting time of trucks in each lane at the entrance gate. The purpose of this was to comprehend the intricate issue and demonstrate the outcomes of the resolution. We used the identified factors that were causing congestion to develop a management strategy for the port gate. As part of this strategy, we implemented a policy where traffic flows in the opposite direction in certain lanes. The Simulation of Urban Mobility program introduced the microscopic traffic simulation model as a discrete event simulation.FindingsThe examination of variables influencing the congestion at the port entrance revealed that there were four factors contributing to the congestion: (1) the quantity of lanes; (2) the level of bookings; (3) the factors related to the traffic signal cycle and (4) the assignment of lane types. The one-way MANOVA analysis of the three factors yielded significant evidence for a single pair of interactions. (1) The factors to consider are the quantity of lanes, the level of booking and the assignment of lane types. If the entrance to the rear alley consists of two lanes with a width of 1.85 at the 50% capacity level, and if the critical value of the uneven queue coefficient is reached, it can result in a maximum reduction of the average waiting time by 15.02%.Originality/valueThis study is unique because it examines the surrounding environment and operational behavior of the port to identify how individual and group congestion factors interact. It uses various statistical tools to determine the allocation of the number of port entrances with a reversible lane policy and appointment level. Additionally, it analyzes the detailed results using microscopic traffic simulation modeling. The established foundational model can assist operators in simulating the queue length and mean waiting time of trucks for this specific waiting line in other ports with comparable entrance characteristics.