bluuebunny/crossref_metadata_2025_split huggingface dataset:
The ABCF ATPase New1 resolves translation termination defects associated with specific tRNAArgand tRNALysisoacceptors in the P site
Authors: Turnbull Kathryn , Paternoga Helge , von der Weth Esther , Egorov Artyom A. , Pochopien Agnieszka A. , Zhang Yujie , Nersisyan Lilit , Margus Tõnu , Johansson Marcus J.O. , Pelechano Vicent , Wilson Daniel N. , Hauryliuk Vasili 
Published: May 2024

ABSTRACTThe efficiency of translation termination is determined by the nature of the stop codon as well as its context. In eukaryotes, recognition of the A-site stop codon and release of the polypeptide are mediated by release factors eRF1 and eRF3, respectively. Translation termination is modulated by other factors which either directly interact with release factors or bind to the E-site and modulate the activity of the peptidyl transferase center. Previous studies suggested that theSaccharomyces cerevisiaeABCF ATPase New1 is involved in translation termination and/or ribosome recycling, however, the exact function remained unclear. Here, we have applied 5PSeq, single-particle cryo-EM and readthrough reporter assays to provide insight into the biological function of New1. We show that the lack of New1 results in ribosomal stalling at stop codons preceded by a lysine or arginine codon and that the stalling is not defined by the nature of the C-terminal amino acid but rather by the identity of the tRNA isoacceptor in the P-site. Collectively, our results suggest that translation termination is inefficient when ribosomes have specific tRNA isoacceptors in the P-site and that the recruitment of New1 rescues ribosomes at these problematic termination contexts.
Identifying university librarians’ readiness to adopt artificial intelligence (AI) for innovative learning experiences and smart library services: an empirical investigation
Authors: Shahzad Khurram , Khan Shakeel Ahmad , Iqbal Abid , Javeed Asfa Muhammed Din 
Published: May 2024

Purpose
This study aimed to identify the university librarians’ readiness to adopt artificial intelligence (AI) for innovative learning experiences and smart library services.

Design/methodology/approach
Quantitative research design followed by a survey method was applied. Data were collected from 174 professional librarians of 58 university libraries in Punjab province, Pakistan.

Findings
The findings of the study revealed that the adoption of AI enhances innovative learning. The results displayed that AI adoption assists librarians in the provision of smart library services to end users.

Originality/value
The study has offered practical recommendations in light of the evidence-based data for the efficient adoption and sustainability of AI applications in university libraries for innovative learning and smart library services. It contributes to the theoretical understanding by expanding the existing knowledge base. It offers managerial insights and has a societal impact. The study has provided a framework based on the empirical findings for efficiently adopting AI tools in academic settings for the provision of innovative learning experiences and sustainable smart library services.
Liberalization, financial performance and key strategic choices: some empirical evidence from energy companies
Authors: Iovino Felicetta , Koufopoulos Dimitrios N. , Maielli Giuliano , Meredith Richard 
Published: May 2024

Purpose
This paper aims to examine the impact and the link between some key strategic choices and financial performance of energy companies. In fact, in the light of the European energy directives and the related ransformations, it is interesting to analyze how much the financial performance of electricity and gas companies affects some choices related to some main characteristics of companies, and thus their active role.

Design/methodology/approach
This study uses data collected from Amadeus, a database from Bureau Van Dyck, to create a sample consisting of an unbalanced panel of annual period series from 2009 to 2017. The sample includes all the electricity and gas limited retailer companies registred in two countries, Italy and the UK. The used method and post-estimations include probit models and as post-estimation marginal effects and matrices of correlation.

Findings
Results identify asset turnover (sales revenue/total assets), efficiency of invested capital, as the key drivers of the strategic decisions analyzed (that is being part of a group of companies, the business chosen, the type of country and if they are companies operating in more than one phase). Age, size and headquarter of company are also significant when they are included in a larger model as control variables.

Originality/value
The combination of the analysis of two of the largest European electricity and gas retail markets and inclusion of financial values as performance measures are key contributions of this paper.
A review of cutting tool life prediction through flank wear monitoring
Authors: Das Monojit , Naikan V.N.A. , Panja Subhash Chandra 
Published: May 2024

PurposeThe aim of this paper is to review the literature on the prediction of cutting tool life. Tool life is typically estimated by predicting the time to reach the threshold flank wear width. The cutting tool is a crucial component in any machining process, and its failure affects the manufacturing process adversely. The prediction of cutting tool life by considering several factors that affect tool life is crucial to managing quality, cost, availability and waste in machining processes.Design/methodology/approachThis study has undertaken the critical analysis and summarisation of various techniques used in the literature for predicting the life or remaining useful life (RUL) of the cutting tool through monitoring the tool wear, primarily flank wear. The experimental setups that comprise diversified machining processes, including turning, milling, drilling, boring and slotting, are covered in this review.FindingsCutting tool life is a stochastic variable. Tool failure depends on various factors, including the type and material of the cutting tool, work material, cutting conditions and machine tool. Thus, the life of the cutting tool for a particular experimental setup must be modelled by considering the cutting parameters.Originality/valueThis submission discusses tool life prediction comprehensively, from monitoring tool wear, primarily flank wear, to modelling tool life, and this type of comprehensive review on cutting tool life prediction has not been reported in the literature till now. The future suggestions provided in this review are expected to provide avenues to solve the unexplored challenges in this field.
Digital transformation of SMEs in times of uncertainty: effectuation perspective
Authors: Chen Shenglong , Cai Jiannan , Bogatyreva Karina , Quansah Ewuradjoa 
Published: May 2024

Purpose
Small- and medium-sized enterprises (SMEs) increasingly implement digitalization in uncertain business environments. However, a dearth exists in the entrepreneurship literature for understanding the decision-making logic of digitalization as a management issue. Drawing on the effectuation theory, this study aims to explore the relationships between effectuation dimensions and SMEs’ digitalization.

Design/methodology/approach
Using quantitative data collected from 345 Chinese SMEs through questionnaires, the authors conducted the principal component analysis and hierarchical linear regression analysis.

Findings
The results highlight significant positive relationships between the four effectuation elements – experimentation, affordable loss, flexibility and precommitment – and SMEs’ digitalization. Moreover, this research considers the environmental conditions as moderators and reveals that environmental dynamism and complexity associated with high uncertainty negatively moderate the effects of effectuation on SMEs’ digitalization.

Practical implications
SMEs embarking on digitalization should constantly experiment to determine optimal strategies while contemplating their affordable losses. Flexibility should also be maintained to discard unproductive tactics and redirect to other viable options. Additionally, precommitments can reduce the risk that SMEs encounter in digitalization process. While the effectuation principles consolidate the likelihood of a successful digitalization, this research recommends that entrepreneurs should carefully consider their possible application in uncertain environments.

Originality/value
This study contributes to the entrepreneurship literature by theoretically clarifying the decision-making mechanism of digitalization and extends the application of effectuation to this context by illuminating the influences of effectuation principles on SMEs’ digital transformation. The identification of negative moderating effects of environmental uncertainty also augments an academic criticism about uncertainty creating the conditions for effectuation.
Exploring volunteers' emotional reactions to a potential transition from a non-profit organisation towards a social enterprise
Authors: Forgács-Fábián Sára , Takács Sándor , Anand Amitabh 
Published: May 2024

PurposeBy focussing on the anticipated emotional reactions of volunteers and drawing on theories of motivation and identity, this study investigates how volunteers react to different options of the entrepreneurial model of Amigos for Children Foundation (ACF). The paper proposes a hypothetical model for volunteer’s emotional reactions to potential business model changes. We suggest the relative importance of intrinsic motivational factors, professional identity and attitudes towards business organisations as mediating variables. ACF works exclusively with university students as volunteers, so their specific characteristics may limit some of the conclusions and propositions of this qualitative research, but public policy consequences of supporting similar entrepreneurial transitions can be generally relevant.Design/methodology/approachBased on the qualitative analysis of semi-structured interviews with volunteers of ACF, a Hungarian non-profit organisation, we explore the challenges of transitioning into a social enterprise.FindingsPrevious research showed controversial results about the impact of pay on the motivations of volunteers. For a non-profit organisation that would like to utilise the competencies of its volunteers, introducing a market-based service may mean additional financial resources and the potential loss of human resources. Understanding the moderating factors of volunteers' reactions might help build better theories for managing the non-profit-social enterprise transition and designing public policies to support scaling up the impact of successful social purpose organisations.Originality/valueFor practitioners, the research underlines the importance of participatory mechanisms in volunteer management. By managing transitions better, non-profit organisations can expand their social impact by acquiring more financial resources through market-based activities closely related to their original activities and keeping their volunteers. The study elucidates the relevance of the crowding-out effect and indicates some hypothetical moderating variables influencing its potential degree.
Impact of forensic accounting on fraud detection and prevention: a case of firms in Pakistan
Authors: Naz Iram , Khan Saleh Nawaz 
Published: May 2024

Purpose
This study aims to assess the effectiveness of forensic accounting techniques to prevent and detect fraudulent activities in firms in Pakistan.

Design/methodology/approach
A descriptive research approach has been adopted in this study. Primary data has been collected through structured questionnaires distributed to professionals from investigating firms, professional bodies and field researchers. The independent variables that were analyzed included fraud investigation, litigation support and dispute resolution, whereas the dependent variables were fraud detection and prevention. The Statistical Package for Social Sciences has been used for data analysis to derive objective results.

Findings
This research reveals that forensic accounting techniques such as fraud investigation, litigation support and dispute resolution have a positive impact on fraud detection and prevention in Pakistani firms.

Practical implications
Firms should train staff on forensic accounting techniques, implement fraud risk management and anti-corruption policies, conduct regular financial statement audits and develop a whistleblower protection program to encourage employees to report fraudulent activities. The government should develop regulations and guidelines to promote the use of forensic accounting in firms.

Originality/value
This study is covering the gap in literature on financial fraud and forensic accounting practices concerning emerging economies such as Pakistan. This study can serve as a valuable resource for firms and policymakers to strengthen their fraud prevention efforts and build a more robust culture of financial integrity.
Determinants of relationship termination intentions and their evolution: a two time-lag approach
Authors: Wen Tianhao , Ha Hong-Youl 
Published: May 2024

PurposeVertical business-to-business (B2B) relationship models are dynamic and depend on economic and relational constructs. However, it remains unclear how relationship termination intentions evolve across the mature and final stages of the B2B relationship cycle, particularly in the hospitality sector. Thus, this study investigates the dynamics of B2B relationship termination mechanisms.Design/methodology/approachThe authors use a two time-lag interval method to provide insights into how these two variables (relational satisfaction and partner trust) mediate (e.g. strengthen or weaken) the relationship between social dependence and relationship termination intentions over time.FindingsThe authors demonstrate that relational satisfaction is not directly linked to relationship termination intentions across B2B relationship stages. However, our findings show that social dependence and partner trust are both key determinants of relationship termination intentions over time. Based on the mature and final stages of a B2B relationship cycle, these results suggest that researchers must understand the theoretical mechanism of B2B relationships and the roles key constructs play in determining how these relationships conclude.Originality/valueThis study is novel in capturing the evolution of B2B relationship stages. This research presents the first collection of ample evidence on the manifestation of relationship termination in the transition from social dependence to reduced partner trust.
Simulation of coupled elasticity problem with pressure equation: hydroelastic equation
Authors: Hooshyarfarzin Baharak , Abbaszadeh Mostafa , Dehghan Mehdi 
Published: May 2024

PurposeThe main aim of the current paper is to find a numerical plan for hydraulic fracturing problem with application in extracting natural gases and oil.Design/methodology/approach First, time discretization is accomplished via Crank-Nicolson and semi-implicit techniques. At the second step, a high-order finite element method using quadratic triangular elements is proposed to derive the spatial discretization. The efficiency and time consuming of both obtained schemes will be investigated. In addition to the popular uniform mesh refinement strategy, an adaptive mesh refinement strategy will be employed to reduce computational costs.FindingsNumerical results show a good agreement between the two schemes as well as the efficiency of the employed techniques to capture acceptable patterns of the model. In central single-crack mode, the experimental results demonstrate that maximal values of displacements in x- and y- directions are 0.1 and 0.08, respectively. They occur around both ends of the line and sides directly next to the line where pressure takes impact. Moreover, the pressure of injected fluid almost gained its initial value, i.e. 3,000 inside and close to the notch. Further, the results for non-central single-crack mode and bifurcated crack mode are depicted. In central single-crack mode and square computational area with a uniform mesh, computational times corresponding to the numerical schemes based on the high order finite element method for spatial discretization and Crank-Nicolson as well as semi-implicit techniques for temporal discretizations are 207.19s and 97.47s, respectively, with 2,048 elements, final time T = 0.2 and time step size τ = 0.01. Also, the simulations effectively illustrate a further decrease in computational time when the method is equipped with an adaptive mesh refinement strategy. The computational cost is reduced to 4.23s when the governed model is solved with the numerical scheme based on the adaptive high order finite element method and semi-implicit technique for spatial and temporal discretizations, respectively. Similarly, in other samples, the reduction of computational cost has been shown.Originality/valueThis is the first time that the high-order finite element method is employed to solve the model investigated in the current paper.
Role perception and professional identity development of municipal police recruits in British Columbia
Authors: Hossain Md Asif 
Published: May 2024

PurposeThe study aimed to address how recruits perceive their roles and develop professional identities during in-classroom and in-field training.Design/methodology/approachThis study explored the professional identity formation process by analysing asynchronous surveys with recruits from 13 municipal police departments in British Columbia, Canada. The participants were surveyed twice: after classroom-based training following Block I at the British Columbia Police Academy (BCPA) and after their departmental field training following Block II.FindingsThe analysis revealed that police recruits lacking public safety experience transformed their occupation and lifestyle. The training at the police academy helped develop recruits' muscle memory as they applied their knowledge to the situation through hands-on practice. Moreover, teamwork at the police academy and during field training allowed recruits to form their police identity. The study was conducted between 2020 and 2021 during the COVID-19 pandemic, thus revealing how the recruits learnt effectively whilst facing continuous challenges and adjusting.Research limitations/implicationsThis study relied solely on the respondents' language in text-based answers; therefore, it was not possible to ask follow-up questions or seek clarification. Consequently, several inputs were excluded from the analysis. This would not have been the case if a quantitative method, where answers can be selected accurately, had been used.Originality/valueThis study demonstrates that police recruits acquire diverse competencies and skill sets through rigorous formal requirements, nuanced informal aspects and comprehensive training at the BCPA and during field training, all of which pivotal in shaping their professional identities.
In what way can worldwide robotics and artificial intelligence encourage development in green crypto investments? An implementation of a model-free connectedness technique
Authors: Ha Le Thanh 
Published: May 2024

Purpose
This study aims to investigate connections between the development of robotic and artificial intelligence (AI) and green crypto investments. The author also explores the influences of global uncertainty shocks like the COVID-19 pandemic and international conflicts on the role of each channel.

Design/methodology/approach
In this research, the author uses a cutting-edge model-free connectedness approach to investigate the relationships between the development of Global X Robotics and AI (BOTZ) and the volatility of green crypto investments from November 9, 2017 to March 24, 2023.

Findings
In the sample duration, the findings reveal a two-way link between AI and green/nongreen cryptocurrencies. Throughout the examined period, BOTZ has been a net receiver of shocks as determined by the net total connectedness. Among the main spillover shock carriers in the system, green cryptocurrencies are the most significant. The net pairwise directional connectivity reveals that green cryptocurrencies controlled BOTZ throughout the analyzed time, particularly during the COVID-19 era as well as the Ukraine–Russia crisis. According to the findings, the proposed system is vulnerable to a high level of indication influence.

Practical implications
The results have important policy implications for investors and governments, as well as methods from the spillovers across the various indicators and their interconnections. Sharp information on the primary contagions among these indicators aids politicians in designing the most appropriate policies.

Originality/value
To the best of the authors’ knowledge, this paper is the first to look at the link between AI, technological advancement and green cryptocurrency investing. Second, this study developed a methodology for examining instability links between various factors that is more appropriate for investigating these linkages. This study investigates the links between AI, technical advancement and green digital currencies using a cutting-edge model-free connectivity method. This work is also the first to examine the interconnection between volatility derived from AI, technological development and green cryptocurrency investments in light of unknown events, such as the COVID-19 pandemic and the Ukrainian–Russian conflict. Finally, this study includes a daily database from the BOTZ fund, which attempts to invest in firms that stand to gain from rising robotics and AI use. Cardano (ADA), IOTA, NANO (XNO), Stellar Lumens and Tron are examples of green cryptocurrencies, whereas Bitcoin is an example of a nongreen cryptocurrency. These virtual currencies are being used to investigate the relationship between investor mood and green and nongreen digital currencies. The data set spans the period from November 9, 2017 to March 24, 2023.
Let‐7 microRNA targets BmCentrin to modulate the development and functionality of the middle silk gland in the silkworm, Bombyx mori
Authors: Xu Yankun , Du Na , Xu Lili , Zhao Lu , Fan Ting , Wei Tianqi , Pu Qian , Liu Shiping 
Published: May 2024

AbstractThe silk gland of the silkworm Bombyx mori serves as a valuable model for investigating the morphological structure and physiological functions of organs. Previous studies have demonstrated the notable regulatory role of let‐7 microRNA in the silk gland, but its specific molecular mechanism remains to be elucidated across different segments of this organ. In this study, we further investigated the functional mechanism of let‐7 in the middle silk gland (MSG). The MSG of a let‐7 knockout strain was analyzed using a combined proteomic and metabolomic technique, revealing the enrichment of differential proteins and metabolites in the DNA synthesis and energy metabolism pathways. BmCentrin was identified as a novel target gene of let‐7 in the MSG, and its downregulation inhibited the proliferation of BmN4‐SID1 cells, which is exactly opposite to the role of let‐7 in these cells. CRISPR/Cas9 genome editing and transgenic technologies were employed to manipulate BmCentrin in the MSG. Knockout of BmCentrin led to severe MSG atrophy, whereas the overexpression of BmCentrin resulted in beaded MSG. Further measurements of these knockout or overexpression strains revealed significant changes in the expression levels of sericin protein genes, the weight of the cocoon and the mechanical properties of the silk. Investigating the biological role of BmCentrin in the silk gland offers valuable insights for elucidating the molecular mechanisms by which let‐7 controls silk gland development and silk protein synthesis in the silkworm.