bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mutational effects of ubiquitously present gamma radiation onArabidopsis thaliana: insight into radiosensitivity in the reproductive stage
Authors: Hirao Akira S. , Watanabe Yoshito , Hasegawa Yoichi , Takagi Toshihito , Ueno Saneyoshi , Kaneko Shingo 
Published: February 2021

ABSTRACTEarth has always been exposed to ionizing radiation from natural sources, and man-made sources have added to this radiation. In order to assess mutational effects of ubiquitously present radiation on plants, we performed a whole-genome resequencing analysis of mutations induced by chronic irradiation throughout the life-cycle ofArabidopsis thalianaunder controlled conditions. Resequencing data from 12 M1lines and 36 M2progeny derived under gamma-irradiation conditions ranging from 0.0 to 2.0 Gy/d were obtained to identifyde novomutations, including single base substitutions (SBSs) and small insertions/deletions (INDELs). The relationship betweende novomutation frequency and a low-to-middling dose of radiation was assessed by statistical modeling. The increasing ofde novomutations in response to doses of irradiation fit the negative binomial model, accounting for the high variability of mutation frequency observed. Among the different types of mutations, SBSs were more prevalent than INDELs, with deletions being more frequent than insertions. Furthermore, we observed that the mutational effects of chronic radiation are more intensive during the reproductive stage. These outcomes could provide valuable insights into practical strategies for environmental radioprotection of plants on Earth and in space.
Structural variability and concerted motions of the T cell receptor – CD3 complex
Authors: Pandey Prithvi R. , Różycki Bartosz , Lipowsky Reinhard , Weikl Thomas R. 
Published: February 2021

AbstractWe investigate the structural and orientational variability of the membrane-embedded T cell receptor (TCR) – CD3 complex in extensive atomistic molecular dynamics simulations based on the recent cryo-EM structure determined byDong et al.(2019). We find that the TCR extracellular (EC) domain is highly variable in its orientation by attaining tilt angles relative to the membrane normal that range from 15° to 55°. The tilt angle of the TCR EC domain is both coupled to a rotation of the domain and to characteristic changes throughout the TCR – CD3 complex, in particular in the EC interactions of the Cβ FG loop of the TCR, as well as in the orientation of transmembrane helices. The concerted motions of the membrane-embedded TCR – CD3 complex revealed in our simulations provide atomistic insights for force-based models of TCR activation, which involve such structural changes in response to tilt-inducing forces on antigen-bound TCRs.
Financial sustainability in Italian farms: an analysis of the FADN sample
Authors: Dono Gabriele , Buttinelli Rebecca , Cortignani Raffaele 
Published: February 2021

PurposeThe paper examines the factors that influence the production of cash flows in a sample of Italian farm accountancy data network (FADN) farms to generate information useful for calibrating policies to support farmers' investments.Design/methodology/approachAn econometric analysis on the sample estimates the influence of structural, economic, commercial and financial variables on CAFFE, i.e. the cash flow that includes the payments to the farmer's resources and the free cash flow on equity (FCFE). The econometric problem of endogeneity is treated by adopting the Hausman test to choose between fixed and random effects models. The results for Italian agriculture and its types of farming (TFs) are examined based on the FCFE/capital depreciation ratio, where FCFE subtracts from CAFFE the opportunity cost payments to the farmer's resources. This ratio identifies TFs with problems of sustainability of the production system.FindingsThe results show that increasing the productive dimension, in particular the endowment of farmland and working capital, is still essential to stimulate the production of cash flows of Italian agriculture. Without this growth, increasing the depreciable capital base is ineffective. FCFE does not compensate for depreciation in several TFs, which in various cases could also improve by improving economic efficiency and commercial position.Research limitations/implicationsAssessing the factors that most influence cash flows can help to better calibrate rural development measures to the territories and farming types that most need public support. Our analysis procedure can be applied to all production systems equipped with farm accounting networks; however, the criteria for rewarding farmer resources and calculating the replacement value of agricultural capital need to be better discussed.Originality/valueThe specification of rural development policies rarely takes into account the financial sustainability conditions of farms, as well as the factors that determine them, in defining the support parameters and the selection criteria for funding. Our approach, based on the analysis of FADN data, considers these aspects and provides ideas for better calibrating public support for investments among agricultural territories, sectors and types of farms.
“Big results require big ambitions”: big data, data analytics and accounting in masters courses
Authors: Mcbride Karen , Philippou Christina 
Published: February 2021

Purpose
Accounting education is re-inventing itself as technology impacts the practical aspects of accounting in the real world and education tries to keep up. Big Data and data analytics have begun to influence elements of accounting including audit, accounting preparation, forensic accounting and general accountancy consulting. The purpose of this paper is to qualitatively analyse the current skills provision in accounting Masters courses linked to data analytics compared to academic and professional expectations of the same.

Design/methodology/approach
The academic expectations and requirements of the profession, related to the impact of Big Data and data analytics on accounting education were reviewed and compared to the current provisions of this accounting education in the form of Masters programmes. The research uses an exploratory, qualitative approach with thematic analysis.

Findings
Four themes were identified of the skills required for the effective use of Big Data and data analytics. These were: questioning and scepticism; critical thinking skills; understanding and ability to analyse and communicating results. Questioning and scepticism, as well as understanding and ability to analyse, were frequently cited explicitly as elements for assessment in various forms of accounting education in the Masters courses. However, critical thinking and communication skills were less explicitly cited in these accounting education programmes.

Research limitations/implications
The research reviewed and compared current academic literature and the requirements of the professional accounting bodies with Masters programmes in accounting and data analytics. The research identified key themes relevant to the accounting profession that should be explicitly developed and assessed within accounting education for Big Data and data analytics at both university and professional levels. Further analysis of the in-depth curricula, as opposed to the explicitly stated topic coverage, could add to this body of research.

Practical implications
This paper considers the potential combined role of professional qualification examinations and master’s degrees in skills provision for future practitioners in accounting and data analysis. This can be used to identify the areas in which accounting education can be further enhanced by focus or explicit mention of skills that are both developed and assessed within these programmes.

Social implications
The paper considers the interaction between academic and professional practice in the areas of accounting education, highlighting skills and areas for development for students currently considering accounting education and data analytics.

Originality/value
While current literature focusses on integrating data analysis into existing accounting and finance curricula, this paper considers the role of professional qualification examinations with Masters degrees as skills provision for future practitioners in accounting and data analysis.
Development of risk assessment tool using damaging energy and argumentation theory for evaluating construction occupational safety and health risks
Authors: Abas Nor Haslinda , Blismas Nick , Lingard Helen 
Published: February 2021

PurposeThe purpose of this paper is to describe the development of a risk assessment model to assess the occupational safety and health (OSH) risks presented by different construction approaches, namely traditional and industrialised building system (IBS). The development process applies the concept of argumentation theory, which helps construction designers integrate the management of OSH risk into the design process. In addition, an energy damage model is used as an underpinning framework for developing the model.Design/methodology/approachDevelopment of the model was achieved through two phases. Phase I involved collection of data on the activities involved in the construction process and their associated OSH risks, derived from five different case studies, field observation and interviews. Knowledge of design aspects that have the potential to impact on OSH was obtained from document analysis. Using the knowledge obtained in phase I, a model was developed in the form of argument trees (Phase II), which represent a reasoning template with regard to options available to designers when they make judgements about aspects of their designs. Inferences from these aspects eventually determined the magnitude of the damaging energies for every activity involved. Finally, the model was validated by panels of experts, and revisions and amendments were made to the model accordingly.FindingsThe risk assessment model development revealed that the concept of argumentation theory and energy damage model is suitable to represent design safety risk knowledge and effectively address the designer's role in making decisions in their designs and further illuminate the level of OSH risk their designs pose.Practical implicationsThe developed model provides best-practice reasoning support for construction designers, which help them to understand the impact of their designs decisions on worker's safety and health, and thereby assist them to further mitigate the risk to an acceptable level.Originality/valueThis study departs from the existing tool in that the model was developed based upon the combination of argumentation theory and energy damage model. The significance of the model is discussed.
Student perspectives on multimodal composing in the L2 classroom: tensions with audience, media, learning and sharing
Authors: Hellmich Emily , Castek Jill , Smith Blaine E. , Floyd Rachel , Wen Wen 
Published: February 2021

PurposeMultimodal composing is often romanticized as a flexible approach suitable for all learners. There is a lack of research that critically examines students’ perspectives and the constraints of multimodal composing across academic contexts. This study aims to address this need by exploring high school learners’ perspectives and experiences enacting multimodal learning in an L2 classroom. More specifically, this study presents key tensions between students’ experiences of multimodal composing and teacher/researchers’ use of multimodal composition in an L2 classroom setting.Design/methodology/approachThe paper focuses on two multimodal composing projects developed within a design-based implementation research approach and implemented in a high school French class. Multiple data sources were used: observations; interviews; written reflections; and multimodal compositions. Data were analyzed using the critical incident technique (CIT). A critical incident is one that is unplanned and that stimulates reflection on teaching and learning. Methodologically, CIT was enacted through iterative coding to identify critical incidents and collaborative analysis.FindingsUsing illustrative examples from multiple data sources, this study discusses four tensions between students’ experiences of multimodal composing and teacher/researchers’ use of multimodal composition in a classroom setting: the primary audience of student projects, the media leveraged in student projects, expectations of learning in school and the role of a public viewing of student work.Originality/valueThis paper problematizes basic assumptions and benefits of multimodal composing and offers ideas on how to re-center multimodal composing on student voices.
Taking a break is for accomplishing a longer journey: hospitality industry in Macao under the COVID-19 pandemic
Authors: Liu Matthew Tingchi , Wang Shaoshan , McCartney Glenn , Wong IpKin Anthony 
Published: February 2021

PurposeThis paper aims to analyze how a real-time COVID-19 pandemic is impacting Macao’s hospitality industry, and illustrates why lessons from COVID-19 are an opportunity for further development for the city.Design/methodology/approachThis case study highlights local government and hospitality industry responses to a real-time crisis. Academic studies, media news and reports have been collected to illustrate why the Macao’s response to the COVID-19 pandemic could be taken as a city case study example. Previous crisis experience provided guidance to Macao’s success in this pandemic.FindingsMacao has succeeded in managing the adverse effects of COVID-19, illustrating the coexistence of challenges and opportunities from experiencing the epidemic. With no COVID-19 cases in the city, cross-border tourism with China resumed in September. Macao is undeniably over reliant on the gambling industry to provide tax income and employment, creating an unbalanced industrial structure. However, the Chinese and Macao Governments, the hospitality industry and other stakeholders, have presented high levels of engagement, unity and rational courses of action during the pandemic. This paper examines Macao’s two orientations – intra and post-coronavirus – which are shown to be instrumental in the city’s future tourism development.Practical implicationsAs the paper is Macao-specific, some generalization may not be applicable. The lessons and strategies proposed in the paper may only be theoretically and temporarily workable in this real-time situation. However, as COVID-19 will remain for some time globally, the efficacy of the findings justifies further ongoing analysis and application beyond Macao.Originality/valueThe case offers a first-hand analysis on the governance of Macao to negate the impacts of COVID-19, enabling a comprehensive review on the practices and policies that were effective during the virus outbreak. There is reference for researchers and practitioners in the public policy domain, and particularly in the area of crisis management and destination resilience. The result is worthy of future exploration on how the mechanism of centralized government facilitates risk management, and the rebuilding of a tourism economy in a crisis context, comparing this to other national systems.
Speaking up at work: personality’s influence on employee voice behavior
Authors: Tedone Archana Manapragada , Bruk-Lee Valentina 
Published: February 2021

Purpose
To boost efficiency and productivity, organizations are increasingly depending upon employees to speak up about workplace concerns and disagreements. This change-oriented bottom-up communication, termed employee voice behavior, brings attention to workplace issues that could otherwise go undetected by management. This study examined the relationships between personality characteristics, job attitudes, and employee voice behavior, and investigated the moderating role of extraversion on the relationships between job attitudes (i.e., job satisfaction and turnover intentions) and voice.

Design/methodology/approach
A cross-sectional study design was used, with data collected through an online survey from a sample of 284 individuals working in the US. Hypotheses were tested using correlation, regression and moderation analyzes.

Findings
Job satisfaction and turnover intentions were found to be positively and negatively-related, respectively, to employee voice behavior. Extraversion was found to be predictive of employee voice behavior and moderate the relationships between job attitudes and voice behavior. Interestingly, results suggest that the job attitudes of individuals high in extraversion do not influence their likelihood of speaking up. Rather, voice behaviors of only those with low or moderate levels of extraversion are impacted by their job attitudes.

Originality/value
This study builds upon prior research identifying the importance of extraversion in predicting voice behavior by testing its incremental validity and relative weight, compared to the other Big Five personality characteristics. Furthermore, this research contributes to the theoretical understanding of instances in which employee voice behavior occurs by examining the moderating effect of extraversion on the relationship between job attitudes and employee voice behavior.
Inflation forecasting in an emerging economy: selecting variables with machine learning algorithms
Authors: Özgür Önder , Akkoç Uğur 
Published: February 2021

PurposeThe main purpose of this study is to forecast inflation rates in the case of the Turkish economy with shrinkage methods of machine learning algorithms.Design/methodology/approachThis paper compares the predictive ability of a set of machine learning techniques (ridge, lasso, ada lasso and elastic net) and a group of benchmark specifications (autoregressive integrated moving average (ARIMA) and multivariate vector autoregression (VAR) models) on the extensive dataset.FindingsResults suggest that shrinkage methods perform better for variable selection. It is also seen that lasso and elastic net algorithms outperform conventional econometric methods in the case of Turkish inflation. These algorithms choose the energy production variables, construction-sector measure, reel effective exchange rate and money market indicators as the most relevant variables for inflation forecasting.Originality/valueTurkish economy that is a typical emerging country has experienced two digit and high volatile inflation regime starting with the year 2017. This study contributes to the literature by introducing the machine learning techniques to forecast inflation in the Turkish economy. The study also compares the relative performance of machine learning techniques and different conventional methods to predict inflation in the Turkish economy and provide the empirical methodology offering the best predictive performance among their counterparts.
Do sukuk spur infrastructure development?
Authors: Smaoui Houcem , Mimouni Karim , Ben Salah Ines 
Published: February 2021

Purpose
This paper aims to examine the effect do Sukuk Spur Infrastructure Development of Sukuk market expansion on infrastructure development for a sample of 15 emerging countries over the period 1997–2018. The paper also compares the role of Sukuk in infrastructure development to that of the size of the banking system, bond market development and stock market development.

Design/methodology/approach
A novel index of infrastructure development is constructed via principal component analysis. This index is regressed on Sukuk market development and other macroeconomic and institutional variables. To tackle the problems of heteroscedasticity and the existence of serial correlation in the residuals, the panel model is estimated using the generalized least squares (GLS) procedure with random effects and robust standard errors.

Findings
The evidence shows that a well-developed Sukuk market contributes to the expansion of the country’s infrastructure, whereas a larger banking system and a better capitalized stock market do not have any significant effect on infrastructure development. Surprisingly, well-developed bond markets jeopardize infrastructure expansion, thereby pointing to a potential crowding-out effect between Sukuk and bonds in financing infrastructure investments. Additionally, per capita GDP and education are positively related to infrastructure development, whereas inflation has a negative effect on the country’s proliferation of infrastructure.

Originality/value
This study uses a novel infrastructure index via principal component analysis and shows that Sukuk markets fill an important gap in the financing of large-scale and long-term projects. This result is novel and has not been documented in previous research.
Citizen engagement in co-creation of e-government services: a process theory view from a meta-synthesis approach
Authors: Khan Anupriya , Krishnan Satish 
Published: February 2021

PurposeThe purpose of this study is to develop an in-depth understanding of the overall process of facilitating co-creation of e-government services, focusing on the government's role in fostering citizen engagement.Design/methodology/approachThis study conducted a meta-synthesis of qualitative case studies encompassing analyses on a case-specific level followed by syntheses on a cross-study level.FindingsThrough meta-synthesis, the study developed an integrated framework, the process theory view of enabling co-creation of e-government services, illustrating how co-creation could be initiated and facilitated by the government.Research limitations/implicationsBy providing critical insights into co-creation steps, the process theory view offers a holistic theoretical understanding of enabling co-creation by identifying factors driving and motivating governments to initiate co-creation activities, interpreting the prerequisites for co-creation and the importance of impact assessment.Practical implicationsThis study offers important implications for public authorities, administrators and policymakers by helping them enhance their knowledge base on the co-creation process to facilitate a higher level of collaboration between citizens and government for effective and efficient public service delivery through e-government.Originality/valueWhile it is widely acknowledged that citizen engagement is crucial for improving and transforming the development and delivery of e-government services, it is equally recognized as a challenging and complex task. Through a meta-synthesis of qualitative case studies, this study is one of the first to develop a process theory view for offering a holistic understanding and crucial insights for addressing the concerns over the co-creation of e-government services.