bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences
Authors: Ali Sarwan , Chen Pin-Yu , Patterson Murray 
Published: August 2023

AbstractIn the midst of the global COVID-19 pandemic, a wealth of data has become available to researchers, presenting a unique opportunity to investigate the behavior of the virus. This research aims to facilitate the design of efficient vaccinations and proactive measures to prevent future pandemics through the utilization of machine learning (ML) models for decision-making processes. Consequently, ensuring the reliability of ML predictions in these critical and rapidly evolving scenarios is of utmost importance. Notably, studies focusing on the genomic sequences of individuals infected with the coronavirus have revealed that the majority of variations occur within a specific region known as the spike (or S) protein. Previous research has explored the analysis of spike proteins using various ML techniques, including classification and clustering of variants. However, it is imperative to acknowledge the possibility of errors in spike proteins, which could lead to misleading outcomes and misguide decision-making authorities. Hence, a comprehensive examination of the robustness of ML and deep learning models in classifying spike sequences is essential. In this paper, we propose a framework for evaluating and benchmarking the robustness of diverse ML methods in spike sequence classification. Through extensive evaluation of a wide range of ML algorithms, ranging from classical methods like naive Bayes and logistic regression to advanced approaches such as deep neural networks, our research demonstrates that utilizingk-mers for creating the feature vector representation of spike proteins is more effective than traditional one-hot encoding-based embedding methods. Additionally, our findings indicate that deep neural networks exhibit superior accuracy and robustness compared to non-deep-learning baselines. To the best of our knowledge, this study is the first to benchmark the accuracy and robustness of machine-learning classification models against various types of random corruptions in COVID-19 spike protein sequences. The benchmarking framework established in this research holds the potential to assist future researchers in gaining a deeper understanding of the behavior of the coronavirus, enabling the implementation of proactive measures and the prevention of similar pandemics in the future.
Impression management at board meetings: accountability in public and in private
Authors: Pernelet Helen R. , Brennan Niamh M. 
Published: August 2023

PurposeTo demonstrate transparency and accountability, the three boards in this study are required to meet in public in front of an audience, although the boards reserve confidential issues for discussion in private sessions. This study examines boardroom public accountability, contrasting it with accountability in board meetings held in private. The study adopts Erving Goffman's impression management theory to interpret divergences between boardroom behaviour in public and private, or “frontstage” and “backstage” in Goffman's terminology.Design/methodology/approachThe research observes and video-records three board meetings for each of the three boards (nine board meetings), in public and private. The research operationalises accountability in terms of director-manager question-and-answer interactions.FindingsIn the presence of an audience of local stakeholders, the boards employ impression management techniques to demonstrate accountability, by creating the impression that non-executive directors are performing challenge and managers are providing satisfactory answers. Thus, they “save the show” in Goffman terms. These techniques enable board members and managers to navigate the interface between demonstrating the required good governance and the competence of the organisations and their managers, while not revealing issues that could tarnish their image and concern the stakeholders. The boards need to demonstrate to the audience that “matters are what they appear to be”, even if they are not. The research identifies behaviour consistent with impression management to manage this complexity. The authors conclude that regulatory objectives have not met their transparency aspirations.Originality/valueFor the first time, the research studies the effect of transparency regulations (“sunshine” laws) on the behaviour of boards of directors meeting in public. The study contributes to the embryonic literature based on video-taped board meetings to access the “black box” of the boardroom, which permits a study of impression management at board meetings not previously possible. This study extends prior impression management theory by identifying eleven impression management techniques that non-executive directors and managers use and which are unique to a boardroom context.
Boundary protection based on the anti-icing thermal load surrogated model and the WRF icing meteorological prediction
Authors: Niu Junjie , Sang Weimin , Guo Qilei , Qiu Aoxiang , Shi Dazhi 
Published: August 2023

Purpose
This paper aims to propose a method of the safety boundary protection for unmanned aerial vehicles (UAVs) in the icing conditions.

Design/methodology/approach
Forty icing conditions were sampled in the continuous maximum icing conditions in the Appendix C of the Federal Aviation Regulation Part 25. Icing numerical simulations were carried out for the 40 samples and the anti-icing thermal load distribution in full evaporation mode were obtained. Based on the obtained anti-icing thermal load distribution, the surrogated model of the anti-icing thermal load distribution was established with proper orthogonal decomposition and Kriging interpolation. The weather research and forecasting (WRF) model was used for meteorological simulations to obtain the icing meteorological conditions in the target area. With the obtained icing conditions and surrogated model, the anti-icing thermal load distribution in the target area and the variation with time can be determined. According to the energy supply of the UAVs, the graded safety boundaries can be obtained.

Findings
The surrogated model can predict the effects of five factors, such as temperature, velocity, pressure, median volume diameter (MVD) and liquid water content (LWC), on the anti-icing thermal load quickly and accurately. The simulated results of the WRF mode agree well with the observed results. The method can obtain the graded safety boundaries.

Originality/value
The method has a reference significant for the safety of the UAVs with the limited energy supply in the icing conditions.
What explains the sudden surge in cryptocurrency? A consumption value theory perspective
Authors: Gupta Shelly , Himanshu Himanshu , Dhingra Sanjay , Aggarwal Radhika 
Published: August 2023

PurposeCryptocurrency has emerged as a significant component on the surface of the financial industry. With its growing popularity and blockchain as an underlying technology, cryptocurrency has the potential to disrupt the digital payments market. In light of this, this study aims to identify and empirically validate factors that influence the continuous intention of customers toward the adoption of cryptocurrency.Design/methodology/approachThe study extends consumption value theory by incorporating additional variables – monetary value, perceived trust and perceived risk – to enhance the predictive power of the proposed model. The data were analyzed using the partial least square technique on the sample of 285 customers.FindingsThe results indicate that trust is the most significant factor to influence customers’ intention to use cryptocurrency, followed by conditional value, epistemic value, emotional value and monetary value. The authors also found the significant moderating effect of personal innovativeness on behavioral intention and actual usage of cryptocurrency.Practical implicationsThe analysis of the study gives policymakers valuable information for the establishment of the regulatory framework that supports innovation while protecting the rights of the consumer.Originality/valueThe study embeds great theoretical and practical significance by generating a new technical thread that will facilitate multiple players to use their resources optimally.
Industry 4.0 base technologies and business models: a bibliometric analysis
Authors: Ferrigno Giulio , Del Sarto Nicola , Piccaluga Andrea , Baroncelli Alessandro 
Published: August 2023

PurposeThe objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature and to point out future research agenda.Design/methodology/approachThe authors conducted a bibliometric analysis of scientific publications based on 482 documents collected from the Scopus database and a co-citation analysis to provide an overview of business model studies related to Industry 4.0 base technologies. After that a qualitative analysis of the articles was also conducted to identify research trends and trajectories.FindingsThe results reveal the existence of five research themes: smart products (cluster 1); business model innovation (cluster 2); technological platforms (cluster 3); value creation and appropriation (cluster 4); and digital business models (cluster 5). A qualitative analysis of the articles was also conducted to identify research trends and trajectories.Research limitations/implicationsFirst, the dataset was collected through Scopus. The authors are aware that other databases, such as Web of Science, can be used to deepen the focus of quantitative bibliometric analysis. Second, the authors based this analysis on the Industry 4.0 base technologies identified by Frank et al. (2019). The authors recognize that Industry 4.0 comprises other technologies beyond IoT, cloud computing, big data and analytics.Practical implicationsDrawing on these analyses, the authors submit a useful baseline for developing Industry 4.0 base technologies and considering their implications for business models.Originality/valueIn this paper, the authors focus their attention on the relationship between technologies underlying the fourth industrial revolution, identified by Frank et al. (2019), and the business model, with a particular focus on the developments that have occurred over the last decade and the authors performed a bibliometric analysis to consider all the burgeoning literature on the topic.
Career competencies: an integrated review of the literature
Authors: Jo Hyeonah , Park Minji , Song Ji Hoon 
Published: August 2023

Purpose
A boundaryless career perspective suggests that career competencies are essential for employees who wish to advance their careers in high uncertainty. This study aims to propose an integrated conceptual model for career competencies to provide insights for employees and organizations by identifying what and how one can prepare and provide support for career development in an uncertain and complex work environment.

Design/methodology/approach
The integrated literature reviewed was adapted to provide a conceptual model for career competencies. All 77 studies were reviewed, guided by the intelligent career theory (ICT) and social cognitive career theory (SCCT).

Findings
The mechanisms of career competency development were examined through the interrelationship between three types of knowing; knowing-why, knowing-whom and knowing-how. Career competencies can be considered a developmental process, therefore, they could develop through various interventions and accumulate over time. Especially the results indicate that learning is an essential component of career competencies, as it increases self-efficacy and promotes a desire to achieve positive career outcomes.

Originality/value
This study provided a conceptual model, explored the mechanisms of career competency development and considered how career competencies influence career outcomes. Furthermore, it identified the context of the construct of career competencies by integrating the SCCT and ICT. Finally, it showed the inadequacy of existing research on negative factors of career competency outcomes and recommended further research to broaden the general context of career competency studies.
Does financial inclusion promote sustainable livelihood development? Mediating effect of microentrepreneurship
Authors: Mahato Jogeswar , Jha Manish Kumar 
Published: August 2023

Purpose
This study aims to investigate the impact of financial inclusion in promoting sustainable livelihood among indigenous women entrepreneurs. Moreover, the study has also examined the mediating role of microentrepreneurship between financial inclusion and sustainable livelihood.

Design/methodology/approach
Structure equation modeling has been used to analyze the mediating effect of microentrepreneurship between financial inclusion and sustainable livelihood development. In total, 598 samples of indigenous women across the Sundargarh and Mayurbhanj districts in Odisha are used for the statistical data analysis in the study.

Findings
The results showed that financial inclusion has direct and indirect effect on promoting sustainable livelihood among indigenous women. The results also highlighted that microentrepreneurship significantly mediates the relationship between financial inclusion and sustainable livelihood.

Practical implications
The Government of India should formulate policies on financial inclusion by reviewing the findings of this study. In addition, to increase the base of microenterprises and the achievement of sustainable livelihood in rural regions, more focus should be given toward the promotion of inclusive finance among indigenous women in India.

Originality/value
The present idea has not been discussed or explored earlier among the indigenous communities in the Indian context. So, the study will benefit the marginalized groups of women in promoting their livelihood sustainably.
Empatia – video reflection method for reflecting on empathic interactions between care worker and client
Authors: Levonius Vilja M.R. , Saari Eveliina 
Published: August 2023

Purpose
This paper aims to introduce the Empatia video reflection method, designed to enhance care workers’ awareness of empathic care. The method makes the quality of care visible, which is needed when digitalization efforts in elder care focus on the efficiency and adequacy of care work.

Design/methodology/approach
The Empatia method leans on previous studies of the interaction between care professionals and clients and elaborates further previous video reflection methods. In empathic care work, the care worker sees the client on their life continuum, rather than focusing on only medical treatments.

Findings
The empirical example demonstrates how a care worker gained awareness of their empathic interaction habits. Within the work community, the reflection process sparked discussions on values: the purpose of care work and how to conduct empathic care. Focusing on empathic relationships in care fosters both the client’s and the care worker’s well-being.

Practical implications
The strength of the Empatia method is that it makes empathy visible in interaction and something that is individually and collectively learnable. The Empatia includes an analytical tool for researchers to reveal empathy in client interaction. It can be developed further into a reflection tool for service work to learn how to be empathic in service encounters.

Originality/value
Compared to other video-stimulated recall methods, the Empatia involves contextual understanding of care work. Empowering positive interactions instead of detecting errors and solving problems is a novel concept and is scantily used in studies of organizational learning. The Empatia provides a detailed method description that allows for the replication of the method by anyone.
Corporate social responsibility and firm value during the COVID-19 pandemic
Authors: Choi Seung Uk , Lee Woo Jae , Choi Nak Hwan 
Published: August 2023

PurposeThis study aims to investigate the impact of coronavirus disease 2019 (COVID-19) on the relationship between buyer firms' corporate social responsibility (CSR) activities toward business partners, such as suppliers, and firm value. The study further explores the role of ownership structure in shaping this relationship.Design/methodology/approachThe authors employ a difference-in-differences (DID) regression method to distinguish between the periods before and during the COVID-19 crisis. The authors utilize data from firms listed on the Korean stock market between 2013 and 2020.FindingsThe results show that CSR activities for suppliers have a positive impact on the value of buyer firms. Furthermore, this positive relationship is amplified during the COVID-19 period. In addition, the study finds that the positive relationship is more prominent in samples with higher ownership by controlling shareholders or foreign investors.Originality/valueOverall, this study makes a valuable contribution to the existing literature by examining the positive effects of CSR activities on firm value and by shedding light on the role of ownership structure in influencing these effects. Additionally, the study emphasizes the significance of CSR activities for business partners in mitigating supply chain disruptions during the COVID-19 pandemic.
Finite coating thickness of Prandtl fluid in non-isothermal reverse roll coating process
Authors: Abbas Zaheer , Khaliq Sabeeh , Usman Sana , Rafiq Muhammad Yousuf 
Published: August 2023

PurposeThe coating process is broadly employed in the manufacturing of wallpapers, adhesive tapes, wrapping, protection of fabrics and metals, X-ray and photographic films, beautification, books and magazines, film foils, magnetic records, coated paper, etc.Design/methodology/approachIn this study, an incompressible flow of non-Newtonian fluid is modeled to inspect the rheological behavior of finite coating thickness in the reverse roll coating process. With the assistance of lubrication approximation theory (LAT), the dimensionless form of governing expressions is simplified. Exact solutions for distributions for velocity, flow rate, temperature and pressure gradient attained utilizing perturbation technique and their variation is presented as well as discussed in graphs. Meanwhile, some important factors from an engineering perspective including coating thickness and transition point were calculated mathematically and are displayed in a tabular manner. Also, streamlines are drawn to observe the flow pattern.FindingsPrandtl fluid parameters provide a controlling factor to regulate the flow rate, velocity, coating thickness, and pressure gradient leading to an efficient coating process. Moreover, the Brinkman number and Prandtl fluid parameters significantly improve the temperature distribution.Originality/valueIn the literature, this study fills a gap in the theoretical prediction of coating thickness rheologically influenced by Prandtl fluid in reverse roll coating process.
Adjusting the library performance standards for consortia services: a case study
Authors: Gonda Thalia , Papatheodorou Christos 
Published: August 2023

PurposeThis study proposes a framework for performance measurement of library consortia services by implementing the indicators listed in ISO 11620. The framework is validated by using real data from HEAL-Link, the national consortium of Greek academic and research libraries to calculate the indicators.Design/methodology/approachThe paper reports on the related work regarding the services consortia offer to their members and the known methods and tools for assessing consortia services; the HEAL-Link case study, the aggregation and handling of data, is presented; ISO 11620 performance indicators for HEAL-Link services are calculated, and the results are discussed in terms of what was learnt- about the consortium, about measuring consortia services performance, and about the standard.FindingsISO 11620 could be used to measure performance for assessing consortia services. The performance indicators’ results reflect the two major events (mergers and COVID pandemic) that took place during the time of the study. ISO 11620 offers a basic insight that could be well complemented with other tools and standards.Originality/valueThe current study suggests that a widely accepted, easily applied, benchmarking ISO standard could be used to measure common consortia services’ performance, thus contributing to consortia assessment.
Elastic full‐waveform inversion based on the double‐cross‐shaped discrete flux‐corrected transport
Authors: Li Jinli , Zhu Jianggui , Qu Yingming , Yang Zhenjie , Li Zhenchun 
Published: August 2023

AbstractMulti‐parameter elastic full‐waveform inversion is a technique that utilizes both P‐ and S‐waves of observed seismic data to produce high‐resolution velocity and density models with accurate amplitude information by minimizing the discrepancy between the predicted and observed multi‐component data. However, due to the nonlinear nature of the multi‐parameter inverse problem, elastic full‐waveform inversion is prone to local minima and ‘cycle‐skipping’. To overcome these challenges, this paper proposes an elastic full‐waveform inversion method that incorporates a double‐cross‐shaped discrete flux‐corrected transport. This method additionally introduces diffusion fluxes in two diagonal directions, which helps to capture low‐frequency information in the observed seismic data and maintain forward modelling stability. Multi‐scale inversion is achieved by gradually decreasing the diffusion flux correction parameter. Numerical experiments on both two typical models and a field data example demonstrate the effectiveness of the proposed elastic full‐waveform inversion method based on the double‐cross‐shaped discrete flux‐corrected transport in generating high‐precision velocity and density models.
Promoting sustainable growth and self‐production of energy through the water industry, as key elements for climate change action
Authors: Peral David , Sánchez Jorge , López Paula , Vallés Federico , Fernández Pascual 
Published: August 2023

AbstractThe paper focuses on climate actions through water activity and energy synergies supporting a water public operator—Canal de Isabel II—to fight against climate change in the region of Madrid. Actions for its mitigation such as the generation of electricity through water treatment activity are undoubtedly a great tool to face climate change and mitigate CO2 emissions. Led by the Strategic Plan of Canal, a water & energy cycle has been designed that, taking advantage of the different processes carried out, and thanks to the appropriate technologies, allows the generation of 100% renewable electrical energy. Through its solar energy plan, Canal is making an important technological effort to reduce energy consumption, taking advantage of the extensive area the water company has for its operations. At the same time, wastewater solutions ans possibilities are becoming more attractive. This paper explains how the Canal is transforming biogas from wastewater treatment plants into fuel for vehicles. On adaptation, this document describes measures for increasing the availability of resources, reducing water consumption, and preparing for new challenges, provided that water remains an essential resource affordable and accessible to all. In this sense, Canal's main contribution and responsibility is to ensure its availability in the event of water scarcity and to avoid the effects of extreme weather phenomena. In addition, the paper presents important projects related to such adaptations as the tariff structure to discourage high superfluous uses of water or the water reclaimed production. This integrated approach to water and energy production and consumption represents an unbeatable strategy that is recommended for dealing with this global problem in a sustainable way. Canal's activities prove that a water company can aspire to be more sustainable through the implementation of integrated projects on the water and energy nexus.