bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cytosolic N6AMT1-dependent translation supports mitochondrial RNA processing
Authors: Foged Mads M. , Recazens Emeline , Chollet Sylvain , Lisci Miriam , Allen George E. , Zinshteyn Boris , Boutguetait Doha , Münch Christian , Mootha Vamsi K. , Jourdain Alexis A. 
Published: July 2024

SummaryMitochondrial biogenesis relies on both the nuclear and mitochondrial genomes, and imbalance in their expression can lead to inborn error of metabolism, inflammation, and aging. Here, we investigate N6AMT1, a nucleo-cytosolic methyltransferase that exhibits genetic co-dependency with mitochondria. We determine transcriptional and translational profiles of N6AMT1 and report that it is required for the cytosolic translation of TRMT10C (MRPP1) and PRORP (MRPP3), two subunits of the mitochondrial RNAse P enzyme. In the absence ofN6AMT1, or when its catalytic activity is abolished, RNA processing within mitochondria is impaired, leading to the accumulation of unprocessed and double-stranded RNA, thus preventing mitochondrial protein synthesis and oxidative phosphorylation. Our work sheds light on the function ofN6AMT1in protein synthesis and highlights a cytosolic program required for proper mitochondrial biogenesis.
Camelina CircRNA Landscape: Implications for Gene Regulation and Fatty Acid Metabolism
Authors: Utley Delecia , Edwards Brianne , Budnick Asa , Grotewold Erich , Sederoff Heike 
Published: July 2024

ABSTRACTCircular RNAs (circRNAs) are closed-loop RNAs forming a covalent bond between their 3’ and 5’ ends, the backsplice junction (BSJ), rendering them resistant to exonucleases and thus more stable compared to linear RNAs. Identification of circRNAs and distinction from its cognate linear RNA is only possible by sequencing the BSJ that is unique to the circRNA. CircRNAs are involved in regulation of their cognate RNAs by increasing transcription rates, RNA stability and alternative splicing. We have identified circRNAs fromCamelina sativathat are associated with the regulation of germination, light response, and lipid metabolism. We sequenced light-grown and etiolated seedlings after 5 or 7 days post-germination and identified a total of 3,447 circRNAs from 2,763 genes. Most circRNAs originate from a single homeolog of the three subgenomes from allohexaploid camelina and correlates with higher ratios of alternative splicing of their cognate genes. A network analysis shows the interactions of select miRNA:circRNA:mRNAs for regulation of transcript stabilities where circRNA can act as a competing endogenous RNA. Several key lipid metabolism genes can generate circRNA and we confirmed the presence of KASII circRNA as a true circRNA. CircRNA in camelina can be a novel target for breeding and engineering efforts.Core ideasFirst discovery of 3,447 genic and 307 intergenic unique putative circRNAs fromCamelina sativa.We identified circRNAs that were regulated in response to seedling de-etiolation.Most circRNAs originate from only one homeolog of the three subgenomes in this allohexaploid Camelina.Alternative splicing of exon skipping and intron retention positively correlate with circRNA occurrence.Validation of KASII circRNAs as an example of lipid metabolism pathways potentially regulated by circRNA.
Comparative Transcriptomics ofArabidopsis,Medicago,BrachypodiumandSetariaspecies during Phosphorus limitation
Authors: Pant Pooja , Duan Hui , Krom Nick , Scheible Wolf-Rűdiger 
Published: July 2024

ABSTRACTTranslating biological knowledge fromArabidopsisto crop species is important to advance agriculture and secure food production in the face of dwindling fertilizer resources, biotic and abiotic stresses. However, it is often not trivial to identify functional homologs (orthologs) ofArabidopsisgenes in crops. Combining sequence and expression data can improve the correct prediction of orthologs. Here, we conducted a large-scale RNA sequencing based transcriptomics study ofArabidopsis,Medicago,BrachypodiumandSetariagrown side-by-side in Phosphorus (P)-sufficient and P-limited conditions to generate comparable transcriptomics datasets. Comparison of top 200 P-limitation induced genes inArabidopsisrevealed that ∼80% of these genes have identifiable close homologs in the other three species but only ∼50% retain their P-limitation response in the legume and grasses. Most of the hallmark genes of the P-starvation response were found conserved in all four species. This study reveals many known, novel, unannotated, conserved and species-specific regulations of the transcriptional P-starvation response. Identification and experimental verification of expressologs by independent RT-qPCR for P-limitation marker genes inPrunusshowed the usefulness of comparative transcriptomics in pinpointing the functional orthologs in diverse crop species. This study provides an unprecedented resource for functional genomics and translational research to create P-efficient crops.HIGHLIGHTComparative transcriptomics reveals novel, known, conserved and specific transcriptome responding to Phosphorus limitation inArabidopsis, Medicago, BrachypodiumandSetariato facilitate translational research in crops.
Quantification of heterogeneity in human CD8+T cell responses to vaccine antigens: an HLA-guided perspective
Authors: Harris Duane C. , Shanker Apoorv , Montoya Makaela M. , Llewellyn Trent R. , Matuszak Anna R. , Lohar Aditi , Kubicek-Sutherland Jessica Z. , Li Ying Wai , Wilding Kristen , Mcmahon Ben , Gnanakaran Sandrasegaram , Ribeiro Ruy M. , Perelson Alan S. , Molina-París Carmen 
Published: July 2024

ABSTRACTVaccines have historically played a pivotal role in controlling epidemics. Effective vaccines for viruses causing significant human disease,e.g., Ebola, Lassa fever, or Crimean Congo hemorrhagic fever virus, would be invaluable to public health strategies and counter-measure development missions. Here, we propose coverage metrics to quantify vaccine-induced CD8+T cell-mediated immune protection, as well as metrics to characterize immuno-dominant epitopes, in light of human genetic heterogeneity and viral evolution. Proof-of-principle of our approach and methods will be demonstrated for Ebola virus, SARS-CoV-2, andBurkholderia pseudomallei(vaccine) proteins.
Biochemical implementation of acceleration sensing and PIDA control
Authors: Alexis Emmanouil , Espinel-Ríos Sebastián , Kevrekidis Ioannis G. , Avalos José L. 
Published: July 2024

AbstractDesigning dependable, self-regulated biochemical systems has long posed a challenge in the field of Synthetic Biology. Here, we propose a realization of a Proportional-Integral-Derivative-Acceleration (PIDA) control scheme as a Chemical Reaction Network (CRN) governed by mass action kinetics. A constituent element of this architecture is a speed and acceleration biosensing mechanism we introduce and, subsequently, place within a feedback configuration. Our control scheme provides enhanced dynamic performance and robust steady-state tracking. In addition to our theoretical analysis, this is practically highlighted in both the deterministic and stochastic settings by regulating a specific biochemical processin-silicoand drawing comparisons with a simpler PID controller.
Adequacy of defects liability periods for public construction projects in Ghana
Authors: Ameyaw Collins , Mensah Sarfo , Abaitey Blondel Akun , Asamoah-Duodu Anita 
Published: July 2024

PurposeThe practice of the defects liability period (DLP) is a risk management strategy meant to secure durable and high-quality works. However, construction products continue to malfunction even after the expiration of DLPs. This study seeks to determine the adequacy of DLPs existing in the construction industry and propose appropriate DLPs for construction projects in the Ghanaian construction industry.Design/methodology/approachApplying quantitative research strategy, 124 questionnaires were retrieved from construction professionals surveyed. The data obtained were analysed using descriptive statistics, Cramer’s V and the significance test with the aid of Stata software.FindingsIt was found that defects start showing in both buildings and roads within 12 months after being handed over for the client’s use. The significance test and Cramer’s V analysis indicate low concordance amongst respondents that the 6–12 month DLPs existing in Ghana are adequate. It is found that the existing DLP practice does not provide sufficient security to clients.Practical implicationsConstruction project clients will need to include the tenderer’s proposed DLP as part of the tender evaluation criteria with the objective of picking up a signal of the quality of work to be delivered.Originality/valueThis paper is one of the pioneering studies addressing the issue of the adequacy of DLPs in the construction industry in the Sub-Saharan Africa region. The findings trigger policy and regulatory changes in conditions guiding construction contracts procured in most developing countries that have adopted and adapted to the World Bank Public Procurement Guidelines.
Trust and SME short-term financial policy. European evidence
Authors: Gama Paulo M. , Pedroso Elsa 
Published: July 2024

PurposeDoes societal trust influence short-term financial management? Recent papers uncover the importance of societal trust for financial management in specific countries and large firms. Our paper aims to provide a comprehensive analysis of the impact of societal trust on short-term financial policies of SMEs, namely working capital management and cash holdings.Design/methodology/approachWe rely on a sample of 14,711 privately owned medium-sized manufacturing firms from 26 European countries with a sample period between 2014 and 2020. For estimation, we use pooled OLS and hierarchical linear models and control for several firm-specific and country-specific known determinants of short-term financial management. Moreover, our results are robust to the specific measurement of trust, financial constraints, and corruption.FindingsWe show a positive relationship between trust and working capital requirements investment and a negative relationship between trust and the level of cash holdings. Moreover, we show that trust attenuates the negative impact of being a financially constrained firm and the positive impact of national perceptions of corruption. Finally, in higher trustworthy environments, firms operate with relatively higher inventories and relatively lower trade credit granted and obtained.Research limitations/implicationsResults suggest that policies supporting societal trust may also foster business development and that when dealing with clients or suppliers from different trustworthy environments, firms may have to adapt their business models to incorporate trust differences between business environments.Originality/valueFirstly, the comprehensive analysis of the impact of trust on working capital management and cash holdings while controlling for different firm-level and country-level known determinants of short-term financial management. Secondly, it addresses a European sample of unquoted, medium-sized firms. Thirdly, it studies the combined effect of trust and financial constraints and trust and corruption.
Artificial intelligence in talent acquisition: exploring organisational and operational dimensions
Authors: Paramita Dhyana , Okwir Simon , Nuur Cali 
Published: July 2024

Purpose
With the recent proliferation of AI, organisations are transforming not only their organisational design but also the input and output operational processes of the hiring process. The purpose of this paper is to explore the organisational and operational dimensions resulting from the deployment of AI during talent acquisition process.

Design/methodology/approach
The authors conducted semi-structured interviews and meetings with human resources (HRs) professionals, recruiters and AI hiring platform providers in Sweden. Using an inductive data analysis rooted in the principles of grounded theory, the study uncovered four aggregate dimensions critical to understanding the role of AI in talent acquisition.

Findings
With insights from algorithmic management and ambidexterity theory, the study presents a comprehensive theoretical framework that highlights four aggregate dimensions describing AI’s transformative role in talent recruitment. The results provide a cautionary perspective, advising against an excessive emphasis on operational performance driven solely by algorithmic management.

Research limitations/implications
The study is limited in scope and subject to several constraints. Firstly, the sample size and diversity are restricted, as the findings are based on a limited number of semi-structured interviews and meetings with HRs professionals, recruiters, and AI hiring platform providers. Secondly, the rapid evolution of AI technologies means that the study’s findings may quickly become outdated as new advancements and applications emerge.

Practical implications
The results provide managers with actionable information that can lead to more precise and strategic management practices, ultimately contributing to improved organizational performance and outcomes. Plus, enhancing their ability to make informed decisions, optimize processes and address challenges effectively.

Social implications
The results signal both positive and negative impacts on employment opportunities. On the positive side, AI can streamline recruitment processes, making it easier for qualified candidates to be identified and hired quickly. However, AI systems can also perpetuate existing biases present in the data they are trained on, leading to unfair hiring practices where certain groups are systematically disadvantaged.

Originality/value
By examining the balance between transactional efficiency and relational engagement, the research addresses a crucial trade-off that organizations face when implementing AI in recruitment. The originality lies in its critique of the prevailing emphasis on e-recruiting.
“Just clearly the right thing to do”: perspectives of correctional services leaders on moving governance of health-care in custody
Authors: McLeod Katherine E. , Butler Amanda , Martin Ruth Elwood , Buxton Jane A. 
Published: July 2024

Purpose
Governance models are a defining characteristic of health-care systems, yet little research is available about the governance of health-care delivered in correctional facilities. This study aims to explore the perspectives of correctional services leaders in British Columbia, Canada, on the motivations for transferring responsibility for health-care services in provincial correctional facilities to the Ministry of Health, as well as key lessons learned.

Design/methodology/approach
Eight correctional services leaders participated in one-on-one interviews between September 2019 and February 2020. The authors used inductive thematic analysis to explore key themes. To triangulate early effects of the transfer identified by participants the authors used complaints data from Prisoners’ Legal Services to examine changes over time.

Findings
The authors identified four major themes related to the rationale for this transfer: 1) quality and equivalence of care, 2) integration and throughcare, 3) values and expertise and 4) funding and resources. Facilitators included changes in the external environment, having the right people in the right places, a strong sense of alignment and shared goals and a changing culture in corrections. Participants also highlighted challenges, including ongoing human resourcing issues, having to navigate and define shared responsibilities and adapting a large bureaucracy to the environment in corrections. Consistent with outcomes described by participants, data showed that a lower proportion of complaints received after the transfer were related to health-care.

Originality/value
The perspectives of correctional leaders on the transfer of governance for health-care services in custody to the community health-care system provide novel insights into the processes and potential of this change.
Congruence effects in social media influencer marketing: the moderating role of wishful identification in online impulse buying intentions
Authors: Koay Kian Yeik , Lim Weng Marc 
Published: July 2024

Purpose
Grounded in self-congruency theory, this study aims to investigate the impact of different types of congruence in social media influencer marketing on consumers’ online impulse buying intentions under the moderating influence of wishful identification.

Design/methodology/approach
This study collects survey responses from an online sample of 232 social media users and analyses them using partial least squares structural equation modelling.

Findings
This study delineates two distinct pathways influencing online impulse buying intentions within influencer marketing: direct consumer–product congruence and the conditional role of consumer–influencer congruence. Particularly, the alignment between a consumer’s self-image and the product’s attributes independently drives online impulse buying intentions. Conversely, consumer–influencer congruence, despite high alignment, fails to spur online impulse buying intentions unless amplified by wishful identification – the consumer’s aspirational desire to emulate the influencer. This finding underscores the complexity of impulsive consumer behaviours in the digital marketplace, highlighting the pivotal role of product appeal and the conditional influence of influencer relationships on spontaneous purchasing decisions.

Originality/value
This study pioneers by elucidating the congruence interplay between consumers, influencers and products in online impulse buying, emphasising wishful identification as a critical moderating factor. Theoretically, it expands self-congruency theory by detailing the distinct roles of congruence types on impulsive behaviours, notably underlining the essential role of wishful identification for the effect of consumer–influencer congruence. Practically, the insights equip brands with a deeper understanding of the key drivers behind impulsive purchases in an influencer-centric digital marketplace, offering strategic guidance for optimising influencer collaborations and product presentations to enhance consumer engagement and sales.
Evaluating the impact of students' generative AI use in educational contexts
Authors: Wood Dwayne , Moss Scott H. 
Published: July 2024

PurposeThe purpose of the study was to evaluate the impact of generative artificial intelligence (GenAI) on students' learning experiences and perceptions through a master’s-level course. The study specifically focused on student engagement, comfort with GenAI and ethical considerations.Design/methodology/approachThe study used an action research methodology employing qualitative data collection methods, including pre- and post-course surveys, reflective assignments, class discussions and a questionnaire. The AI-Ideas, Connections, Extensions (ICE) Framework, combining the ICE Model and AI paradigms, is used to assess students' cognitive engagement with GenAI.FindingsThe study revealed that incorporating GenAI in a master’s-level instructional design course increased students' comfort with GenAI and their understanding of its ethical implications. The AI-ICE Framework demonstrated most students were at the initial engagement level, with growing awareness of GenAI’s limitations and ethical issues. Course reflections highlighted themes of improved teaching strategies, personal growth and the practical challenges of integrating GenAI responsibly.Research limitations/implicationsThe small sample size poses challenges to the analytical power of the findings, potentially limiting the breadth and applicability of conclusions. This constraint may affect the generalizability of the results, as the participants may not fully represent the broader population of interest. The researchers are mindful of these limitations and suggest caution in interpreting the findings, acknowledging that they may offer more exploratory insights than definitive conclusions. Future research endeavors should aim to recruit a larger cohort to validate and expand upon the initial observations, ensuring a more robust understanding.Originality/valueThe study is original in its integration of GenAI into a master's-level instructional design course, assessing both the practical and ethical implications of its use in education. By utilizing the AI-ICE Framework to evaluate students' cognitive engagement and employing action research methodology, the study provides insights into how GenAI influences learning experiences and perceptions. This approach bridges the gap between theoretical understanding and the real-world application of GenAI, offering actionable strategies for its responsible use in educational settings.
Maximizing green innovation: the impact of government subsidies and R&D in digital supply chains
Authors: Bai Yang , Zhang Xue , Wang Dajiang 
Published: July 2024

PurposeThis research examines the relationship between green innovation and firm performance, focusing on identifying the moderating effects of government subsidies and digital transformation R&D investments. The study aims to provide insights on how firms can leverage green innovation for enhanced performance while addressing potential drawbacks.Design/methodology/approachThis study adopts a mixed-methods approach, utilizing both analytical models and empirical analyses. It investigates the curvilinear relationship between green innovation and firm performance and explores the moderating roles of government subsidies and digital transformation R&D investments.FindingsThe findings reveal an inverted U-shaped relationship between green innovation and firm performance, indicating that initial investments in green innovation led to performance improvements, but beyond a certain point, the returns diminished. The study also finds that government subsidies and digital transformation R&D investments significantly enhance the positive impact of green innovation up to the optimal threshold and help mitigate negative effects.Practical implicationsThe research provides practical guidance for firms on managing their green innovation investments to maximize performance benefits. It also offers insights for policymakers on designing effective subsidies and support mechanisms to promote environmental sustainability and economic growth.Originality/valueThis study contributes to the literature by elucidating the complex relationship between green innovation and firm performance and highlighting the critical roles of government subsidies and digital transformation R&D investments. It offers valuable implications for businesses seeking to balance environmental and economic objectives and policymakers aiming to foster sustainable and profitable practices.