bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of New and Old BacT/Alert Aerobic Bottles for Detection ofCandidaspp.
Authors: Choe Kye Won , Lim Yong Kwan , Lee Mi-Kyung 
Published: July 2023

AbstractPurposeA new version of aerobic blood culture media has been developed for the BacT/Alert (bioMérieux) blood culture system. We evaluated the TTD and yeast cell counts in positive blood cultures for eachCandidaspp. according to changes in media.MethodsIsolates from defibrinated horse blood were inoculated into three types of bottles: the old version of FA Plus (Old FA Plus), New FA Plus, and FN Plus. All bottles were incubated in the BacT/Alert Virtuo blood culture system. The TTD was monitored for each bottle, and yeast cell counts were performed immediately after testing positive, determined via the plate count method. Clinical retrospective data of the candidemia samples before and after aerobic bottle change also were analyzed.ResultsThe mean TTD was 51.2 hours in the Old FA Plus bottles versus 19.5 hours in the New FA Plus bottles (P< 0.001) forCandida glabrata, and standard and clinical strains showed similar results.C. albicans(27.6 to 25.1 hours) andC. guilliermondii(28.8 to 27.3 hours) had shorter TTDs. However,C. auris(25.6 to 28.1 hours) had a longer TTD in the New FA Plus bottle. The retrospective clinical analysis showed a significant decrease in TTD (45.0 to 19.4 hours) forC. glabrata, which is consistent with our simulated study.ConclusionThis study shows that the TTD ofC. glabratawas markedly reduced in the New FA Plus bottle due to the optimized growth performance. The reduction of TTD enables faster detection and therapeutic approach forC. glabratainfections.
Non-catalytic function of PRC2 in the control of small RNA dynamics during programmed genome elimination inParamecium
Authors: Miró-Pina Caridad , Arnaiz Olivier , de Vanssay Augustin , Frapporti Andrea , Charmant Olivia , Humbert Adeline , Lhuillier-Akakpo Maoussi , Duharcourt Sandra 
Published: July 2023

AbstractTo limit transposable element (TE) mobilization, most eukaryotes have evolved small RNAs to silence TE activity via homology-dependent mechanisms. Small RNAs, 20-30 nucleotides in length, bind to PIWI proteins and guide them to nascent transcripts by sequence complementarity, triggering the recruitment of histone methyltransferase enzymes on chromatin to repress the transcriptional activity of TEs and other repeats. In the ciliateParamecium tetraurelia, 25-nt scnRNAs corresponding to TEs recruit Polycomb Repressive Complex 2 (PRC2), and trigger their elimination during the formation of the somatic nucleus. Here, we sequenced sRNAs during the entire sexual cycle with unprecedented precision. Our data confirmed that scnRNAs are produced from the entire germline genome, from TEs and non-TE sequences, during meiosis. Non-TE scnRNAs are selectively degraded, which results in the specific selection of TE-scnRNAs. We provide important mechanistic insight into the scnRNA selection pathway by identifying PRC2 and its cofactors as essential for the selective degradation of non-TE-scnRNAs. Our findings reveal a new mechanism for PRC2 that involves a non-methyltransferase function for regulating small RNA dynamics during development.
A digital twin for DNA data storage based on comprehensive quantification of errors and biases
Authors: Gimpel Andreas L. , Stark Wendelin J. , Heckel Reinhard , Grass Robert N. 
Published: July 2023

AbstractArchiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data on these errors and biases, as well as a lack of modelling tools, limit data-driven ECC development and experimental design. In this study, we present a comprehensive characterisation of the error sources and biases present in the most common DNA data storage workflows, including commercial DNA synthesis, PCR, decay by accelerated aging, and sequencing-by-synthesis. Using the data from 40 sequencing experiments, we build a digital twin of the DNA data storage process, capable of simulating state-of-the-art workflows and reproducing their experimental results. We showcase the digital twin’s ability to replace experiments and rationalize the design of redundancy in two case studies, highlighting opportunities for tangible cost savings and data-driven ECC development.
On the Spatial Positioning of Ribosomes around chromosome inE. coliCytoplasm
Authors: Wasim Abdul , Bera Palash , Mondal Jagannath 
Published: July 2023

AbstractThe spatial organization of ribosomes in the cytoplasm of Escherichia coli (E. coli) bacteria has been a subject of longstanding intrigue. Previous investigations suggested that ribosomes remain completely excluded from the chromosome-rich nucleoid region in a “poor solvent” like cytoplasm. Here, we present an integrated model of the bacterial cytoplasm, informed by experimental data, which updates this prevailing narrative. We demonstrate that ribosomes maintain a delicate balance of both attractive and repulsive interactions with the chromosome, contrary to the conventional notion of it acting as an inert crowder in cytoplasm. The multi-dimensional spatial distribution of free ribosomes (30S and 50S) and bound ribosomes (70S polysome) inside the cytoplasm reveals that the extent of mutual ribosome-chromosome segregation is relatively less pronounced due to the presence of non-negligible amount of ribosomes within the inner core of the cytoplasm. In particular, we identify a central void within the inner-most core of the nucleoid that lacks chromosomal DNA but can accommodate finite proportion of both free (11 %) and bound (18 %) ribosomes. Furthermore, our analysis of the chromosome mesh size and the conformation of bound ribosomes suggests that bound ribosomes remain elongated and would be able to navigate past the chromosome mesh to access the central void. Together by highlighting the dynamic nature of ribosome localization in E. coli, this investigation proposes that this segregation is crucial for maximizing the utilization of synthesized mRNA and facilitating efficient translation into proteins, which are essential for bacterial survival.
Studying the motivations in choosing study tour destinations: evidence from Asian university students
Authors: Lau Yui-Yip , Xu Jing (Bill) , Mang Tsz Ching 
Published: July 2023

Purpose
This study aims to explore university students' push and pull motivational factors towards their study tour destination choices and to investigate the differences between experienced and non-experienced students concerning their push and pull motivational factors.

Design/methodology/approach
The study collected surveys from Hong Kong university students. In total, 248 usable responses were gathered. Among the 248 respondents, 148 university students from various universities did not have experience on a study tour in their university lives while 100 students did. The study also conducted interviews and collected qualitative data to supplement the survey findings.

Findings
Top push and pull motivational factors were highlighted in the study tour context. This study also indicated that non-experienced students relatively have more concerns about geographic location, political stability and financial budget as pull factors and education as the push factor than experienced students. Education, as a high-level human need and push motivational factor, becomes less important for experienced students.

Originality/value
A large number of Asian university students participated in study tour programmes each year. Nevertheless, there are few research papers relevant to exploring university students’ motivation to choose study tour destinations. This study provides useful insight for the universities to design and implement appropriate study tours according to students’ motivation.
Performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task
Authors: Xing Yuping , Zhan Yongzhao 
Published: July 2023

PurposeFor ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their aggregation. Performance prediction for ranking aggregation can solve this issue effectively. However, the performance prediction effect for ranking aggregation varies greatly due to the different influencing factors selected. Although questions on why and how data fusion methods perform well have been thoroughly discussed in the past, there is a lack of insight about how to select influencing factors to predict the performance and how much can be improved of.Design/methodology/approachIn this paper, performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task is studied. An influencing factor optimization selection method based on stepwise regression (IFOS-SR) is proposed to screen the optimal influencing factors. A working group selection model based on the optimal influencing factors is built to select the optimal working group with a given number of workers.FindingsThe proposed approach can identify the optimal influencing factors of ranking aggregation, predict the aggregation performance more accurately than the state-of-the-art methods and select the optimal working group with a given number of workers.Originality/valueTo find out under which condition data fusion method may lead to performance improvement for ranking aggregation in crowdsourcing task, the optimal influencing factors are identified by the IFOS-SR method. This paper presents an analysis of the behavior of the linear combination method and the CombSUM method based on the optimal influencing factors, and optimizes the task assignment with a given number of workers by the optimal working group selection method.
Determinants of user satisfaction with financial information systems in the digital transformation era: insights from emerging markets
Authors: Al-Okaily Manaf , Al-Kofahi Mahmoud , Shiyyab Fadi Shehab , Al-Okaily Aws 
Published: July 2023

Purpose
Most of the previous studies agree about the significance of user satisfaction in ensuring the endurance of information systems (ISs). Accordingly, it is crucial to investigate the effect of e-Government systems on individual end-user satisfaction as more and more countries adopt and deploy such Government Financial Management Information Systems (GFMIS) in the era of digital transformation. Because of this, the purpose of this study is to investigate the factors that contribute to the success of GFMIS in Jordan and ultimately the satisfaction of its users.

Design/methodology/approach
The IS success model developed by DeLone and McLean (2003) serves as the theoretical underpinning for the current research. Adding training quality as a new variable to the proposed model has been found to further increase the satisfaction of GFMIS users. A total of 104 GFMIS users in Jordan provided the data used to verify the model. The partial least squares-structural equation modelling was used to test the hypotheses.

Findings
The empirical findings indicated that GFMIS user satisfaction is significantly affected by information quality, service quality and perceived usefulness; meanwhile, system quality is only partially supported. The research also showed that the level of satisfaction among Jordanian GFMIS users was related to the quality of training they received.

Originality/value
This study fills a crucial literature gap by developing a research model that can help improve GFMIS usage towards attaining greater performance amongst government agencies in Jordan.
Experts’ feedback on the cybersecurity footprint elements: in pursuit of a quantifiable measure of SMBs’ cybersecurity posture
Authors: Gafni Ruti , Levy Yair 
Published: July 2023

Purpose
While data breaches are reported daily, organizations are struggling with quantifying their cybersecurity posture. This paper aims to introduce the Universal Cybersecurity Footprint Index (UCFI), an organizational measure of Cybersecurity Footprint. The UCFI helps organizations understand the challenges related to their overall cybersecurity posture and be able to assess it for their supply chain cybersecurity. The Theory of Cybersecurity Footprint states that the risk and damage that can be caused by an attacked organization are not related to the size of the organization but to a range of parameters that may affect the interconnected entities in their supply chain.

Design/methodology/approach
Based on the 26 elements found in prior research, a survey was conducted, using 27 subject matter experts to reveal the most relevant elements and then specify their importance level to calculate their relative weight.

Findings
Results indicated that 20 of the 26 elements were validated, and their weights were calculated. Finally, an equation representing the UCFI for an organization is introduced.

Practical implications
Organizations can choose their partners according to a minimum value of the UCFI to reduce their cybersecurity risks.

Social implications
Supply chain cybersecurity incidents have demonstrated in the past several years to provide a massive impact on society. Thus, further assisting in mitigation of cyberattacks to the supply chain is significant.

Originality/value
This research aims to provide further assistance for organizations in quantifying their cybersecurity footprint in effort to help reduce cyber incidents, especially those for small organizations.
Do professional shareholders matter for corporate compliance with IFRS reporting requirements: the moderating effect of board independence
Authors: Zaid Mohammad A.A. 
Published: July 2023

PurposeFrom an agency theory realm, this study aims to respond to the more recent calls to deeply analyze the indirect influence of professional shareholders, namely, institutional, blockholder and foreign owners, on the extent of compliance with International Financial Reporting Standards (IFRS) mandatory reporting requirements.Design/methodology/approachMultivariate regression analysis was applied. Moreover, quantitative static and dynamic panel data have been used. More plainly, ordinary least squares was run as a baseline estimator. Afterwards, one-step system generalized method of moment and two-stage least squares were conducted to control for the potential endogeneity dilemma. The analysis is based on a sample of nonfinancial listed firms on the Palestine Stock Exchange for the time span of 10 years, from 2010 to 2019.FindingsAfter controlling for the detrimental effect of the endogeneity issue, the findings clearly reveal that the effect of the three types of professional shareholders (institutional, blockholder and foreign) on the extent of compliance with IFRS is more significant under a high proportion of independent nonexecutive directors.Originality/valueTo the best of the author’s knowledge, prior literature on the nexus between shareholding structure and compliance level with IFRS has restricted solely to analyzing the direct influence without casting the light on the moderation effect of independent nonexecutive directors. Hence, analyzing this sensitive configuration merits attention. In this vein, to ameliorate the compliance level with IFRS, regulators have to devote remarkable effort to updating both enforcement mechanisms and best practices of shareholding structure simultaneously.
The dark side of FinTech in financial services: a qualitative enquiry into FinTech developers’ perspective
Authors: Sampat Brinda , Mogaji Emmanuel , Nguyen Nguyen Phong 
Published: July 2023

PurposeFinTech offers numerous prospects for significant enhancements and fundamental changes in financial services. However, along with the myriad of benefits, it also has the potential to induce risks to individuals, organisations and society. This study focuses on understanding FinTech developers’ perspective of the dark side of FinTech.Design/methodology/approachThis study conducted semi-structured interviews with 23 Nigerian FinTech developers using an exploratory, inductive methodology The data were transcribed and then thematically analysed using NVivo.FindingsThree themes – customer vulnerability, technical inability and regulatory irresponsibility – arose from the thematic analysis. The poor existing technological infrastructure, data management challenges, limited access to data and smartphone adoption pose challenges to a speedy integration of FinTech in the country, making customers vulnerable. The lack of privacy control leads to ethical issues. The lack of skilled developers and the brain drain of good developers present additional obstacles to the development of FinTech in Nigeria.Research limitations/implicationsFinTech operation in a developing country differs from that in developed countries with better technological infrastructure and institutional acceptance. This study recognises that basic banking operations through FinTech are still not well adopted, necessitating the need to be more open-minded about the global practicalities of FinTech.Practical implicationsFinTech managers, banks and policymakers can ethically collect consumer data that can help influence customer credit decisions, product development and recommendations using the mobile app and transaction history. There should be strict penalties on FinTech for selling customers’ data, sending unsolicited messages or gaining unnecessary access to the customer’s contact list. FinTech can offer to educate consumers about their financial management skills.Originality/valueWhereas other studies have focused on the positive aspects of FinTech to understand client perceptions, this study offers new insights into the dark side of FinTech by analysing the viewpoints of FinTech developers. Furthermore, the study is based in Nigeria, an emerging economy adopting FinTech, adding a new dimension to the body of knowledge.
Resilient leadership in hospitality and tourism enterprises: conceptualization and scale development
Authors: Zhang Jiangchi , Xie Chaowu , Huang Songshan (Sam) 
Published: July 2023

PurposeThis study aims to conceptualize the dimensions of resilient leadership and develop the resilient leadership scale (RLS) through three studies.Design/methodology/approachIn Study 1, based on interviews with 77 leaders and 8 junior employees, a seven-factor resilient leadership model was constructed. In Study 2, exploratory factor analysis (n= 237) was conducted to refine the initial items. In Study 3, confirmatory factor analysis (n= 610) was performed to validate the dimensional structure identified in Study 2, and different types of validity of the RLS were assessed.FindingsThe validated RLS composed of seven dimensions: contingency planning, improvisation, adaptive instructing, contingency control, emergency care, adjustment recovery and mutual growth. The scale showed desirable measurement qualities in terms of reliability and validity. Resilient leadership and its dimensions significantly impact employee turnover intentions and employee resilience.Research limitations/implicationsThis research contributes to the literature on the resilience of hospitality and tourism enterprises and enriches the research scope and theoretical framework of resilient leadership.Originality/valueThis research revealed the resilient leadership responses to crisis in hospitality and tourism enterprises with practical implications for tourism enterprise leaders to deal with major crisis.
Ethical issues in the development of artificial intelligence: recognizing the risks
Authors: Kamila Manoj Kumar , Jasrotia Sahil Singh 
Published: July 2023

Purpose
This study aims to analyse the ethical implications associated with the development of artificial intelligence (AI) technologies and to examine the potential ethical ramifications of AI technologies.

Design/methodology/approach
This study undertakes a thorough examination of existing academic literature pertaining to the ethical considerations surrounding AI. Additionally, it conducts in-depth interviews with individuals to explore the potential benefits and drawbacks of AI technology operating as autonomous ethical agents. A total of 20 semi-structured interviews were conducted, and the data were transcribed using grounded theory methodology.

Findings
The study asserts the importance of fostering an ethical environment in the progress of AI and suggests potential avenues for further investigation in the field of AI ethics. The study finds privacy and security, bias and fairness, trust and reliability, transparency and human–AI interactions as major ethical concerns.

Research limitations/implications
The implications of the study are far-reaching and span across various domains, including policy development, design of AI systems, establishment of trust, education and training, public awareness and further research. Notwithstanding the potential biases inherent in purposive sampling, the constantly evolving landscape of AI ethics and the challenge of extrapolating findings to all AI applications and contexts, limitations may still manifest.

Originality/value
The novelty of the study is attributed to its comprehensive methodology, which encompasses a wide range of stakeholder perspectives on the ethical implications of AI in the corporate sector. The ultimate goal is to promote the development of AI systems that exhibit responsibility, transparency and accountability.
Carbon media legitimacy in UK companies: actions or words?
Authors: Rohani Alireza , Jabbour Mirna 
Published: July 2023

PurposeThis study investigates whether carbon media legitimacy is influenced by carbon performance and/or carbon disclosure using a direct measure of carbon media legitimacy in UK context.Design/methodology/approachTo test this study's hypotheses, the authors employ Tobit regression analysis of 95 UK companies listed in FTSE350. The authors use balanced panel data (475 observations in total) to reduces the noise introduced by unit heterogeneity.FindingsThe authors find that while corporate carbon performance is not reflected in carbon media legitimacy, carbon media legitimacy is positively and significantly affected by voluntary carbon disclosure (irrespective of its quality). Thus, voluntary carbon disclosure is shown to be an effective tool in legitimising corporate activities.Research limitations/implicationsThe results show a certain degree of naivety on the part of the media in assessing corporate carbon behaviour, since it values carbon disclosure (irrespective of its quality) more than carbon performance. Such media behaviour may hinder future improvement in carbon performance of firms.Practical implicationsThis study's results indicate that the existing UK carbon disclosure policy does not address the heart of climate change and global warming. Thus, tougher regulations should be considered by policy-makers in relation to voluntary carbon disclosure in the UK.Originality/valueTo the best of the authors' knowledge, this is the first study to examine whether carbon media legitimacy is associated with both carbon performance and carbon disclosure using a direct measure of carbon media legitimacy, and to use the UK context when addressing this association. It also examines the effectiveness of quality of carbon disclosure as legitimation tool.