bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural insights into the viral proteins binding by TRIM7 reveal a general C-terminal glutamine recognition mechanism
Authors: Liang Xiao , Xiao Jun , Li Xuzichao , Wen Yanan , Che Xing , Ma Yongjian , Zhang Xingyan , Zhang Yi , Jian Deng , Wang Peihui , Xuan Chenghao , Yu Guimei , Li Long , Zhang Heng 
Published: March 2022

AbstractThe E3 ligase TRIM7 has emerged as a critical player in viral infection and pathogenesis. A recent study found that TRIM7 inhibits human enteroviruses through ubiquitination and proteasomal degradation of viral 2BC protein by targeting the 2C moiety of 2BC protein. Here, we report the crystal structures of TRIM7 in complex with 2C, where the C-terminal region of 2C is inserted into a positively charged groove of the TRIM7 PRY-SPRY domain. Structure-guided biochemical studies revealed the C-terminus glutamine residue of 2C as the primary determinant for TRIM7 binding. Such a glutamine-end motif binding mechanism can be successfully extended to other substrates of TRIM7. More importantly, leveraged by this finding, we were able to identify norovirus and SARS-CoV-2 proteins, and physiological proteins, as new TRIM7 substrates. We further show that TRIM7 may function as a restriction factor to promote the degradation of the viral proteins of norovirus and SARS-CoV-2, thereby restoring the Type I interferon immune response and inhibiting viral infection. Several crystal structures of TRIM7 in complex with SARS-CoV-2 proteins are also determined, and a conserved C-terminus glutamine-specific interaction is observed. These findings unveil a common recognition mode by TRIM7, providing the foundation for further mechanistic characterization of antiviral and cellular functions of TRIM7.
Loss of transgene expression limits liver gene therapy in primates
Authors: Greig Jenny A. , Breton Camilo , Martins Kelly M. , Zhu Yanqing , He Zhenning , White John , Bell Peter , Wang Lili , Wilson James M. 
Published: March 2022

Introductory ParagraphEfforts to improve liver gene therapy have focused on next-generation adeno-associated virus (AAV) vector capsids, transgene delivery, and immunomodulating drugs, such as corticosteroids, to avoid destructive T-cell responses. We conducted a detailed characterization of AAV transduction in nonhuman primate liver across multiple capsids and transgenes to better define interactions that may limit stable and efficient transgene expression. We show that the initial transduction of hepatocytes is high, but the transduction rapidly diminishes to a lower stable baseline of <1% of cells, even though ~10% of the cells retain vector DNA that is localized within the nucleus. Further characterization showed genomic vector integration at frequencies of 1/100 to 1/1,000 genomes, suggesting that one mechanism for stable expression may occur via genome integration. These studies suggest that strategies to enhance durable transgene expression by activating retained nuclear episomes or by increasing the frequency of vector integrations may improve liver directed AAV gene therapy.
A collaborative trend prediction method using the crowdsourced wisdom of web search engines
Authors: Fang Ze-Han , Chen Chien Chin 
Published: March 2022

PurposeThe purpose of this paper is to propose a novel collaborative trend prediction method to estimate the status of trending topics by crowdsourcing the wisdom in web search engines. Government officials and decision makers can take advantage of the proposed method to effectively analyze various trending topics and make appropriate decisions in response to fast-changing national and international situations or popular opinions.Design/methodology/approachIn this study, a crowdsourced-wisdom-based feature selection method was designed to select representative indicators showing trending topics and concerns of the general public. The authors also designed a novel prediction method to estimate the trending topic statuses by crowdsourcing public opinion in web search engines.FindingsThe authors’ proposed method achieved better results than traditional trend prediction methods and successfully predict trending topic statuses by using the crowdsourced wisdom of web search engines.Originality/valueThis paper proposes a novel collaborative trend prediction method and applied it to various trending topics. The experimental results show that the authors’ method can successfully estimate the trending topic statuses and outperform other baseline methods. To the best of the authors’ knowledge, this is the first such attempt to predict trending topic statuses by using the crowdsourced wisdom of web search engines.
Managing open innovation within supply networks in mature industries
Authors: Kazemargi Niloofar , Tavoletti Ernesto , Appolloni Andrea , Cerruti Corrado 
Published: March 2022

PurposeThe purpose of this paper is to investigate how focal firms in supply networks manage weak and strong ties for exploration and exploitation innovation in mature industries. In doing so, the paper extends the understanding of how focal firms manage open innovation (OI).Design/methodology/approachThe empirical base is a multiple case study conducted on three companies operating in mature industries in Europe.FindingsFindings of this study reveal, analyze and explain a diverse set of OI practices in the supply networks of mature industries in which the focal firms integrate strong and weak supply ties to enhance innovation outcomes. This study provides a fine-grained view of the benefits of the additive and interactive effects of strong and weak ties in OI. More specifically, the analysis reveals an enhancing role of strong supply ties in exploration, which previously was associated solely with weak ties. Moreover, this study sheds light on the dominant and orchestrating roles of focal firms.Practical implicationsThe findings provide insights to enhance OI practices beyond the limited role of the weak ties of the supply network and highlight the essential role of the strong supply ties in mature industries.Originality/valueWhile previous studies have associated exploration with weak ties, findings of this study reveal that exploration-oriented activities in mature industries also extend to strong ties. In the strong ties of mature industries, this study finds there is not only the exploitation of existing knowledge but also the reconfiguration and innovation of products.
Factors influence user’s intention to continue use of e-banking during COVID-19 pandemic: the nexus between self-determination and expectation confirmation model
Authors: Rahi Samar , Alghizzawi Mahmoud , Ngah Abdul Hafaz 
Published: March 2022

PurposeInternet banking services are proven to be much advantageous and convenient during COVID-19 pandemic. However, vibrant networking designs and dynamic changes in software development have made these services bit complex. Thus, the current study seeks to investigate Internet banking user continuance intention with factors underpinning self-determination theory (SDT) and expectation confirmation model (ECM) theory. The moderating role of image is studied between user intention to continue use of Internet banking and intention to recommend Internet banking service in social networks during COVID-19 pandemic.Design/methodology/approachThe quantitative research approach is applied and data collected through a research survey. For inferential analysis, 360 responses were collected from active Internet banking users. The integrated information system model was empirically tested using structural equation modeling (SEM) approach.FindingsFindings indicate that integrated IS research model has substantial explanatory power, i.e. 57.8% to predict continuance intention of Internet banking users. Within integrated research model, intrinsic regulation was found the most influential factor in order to determine Internet banking user continuance intention. Beside two theories integration, this study confirmed that the relationship between user continuance intention and intention to recommend Internet banking is moderated by image.Practical implicationsThe fundamental contribution of this study is the integration of technological and motivational factors in Internet banking user continuance intention context. Theoretically, integration of both theories ECM and SDT in technology continuance intention context will enrich the emerging e-commerce literature. Concerning with managerial implications, intrinsic regulation was identified as an important factor among other factors. Therefore, managers and software developers need to understand user’s intrinsic motivational factors in order to boost continuance intention of Internet banking users. It is also suggested that managers and marketing personnel should pay special attention to create a positive image of Internet banking services among Internet banking users.Originality/valueWithin information system literature the concept of user continuance intention has yet to be examined especially in Internet banking context. Thus, current research fills research gap and proposes an integrated technology motivational framework that combines motivational factors and technology factors altogether to investigate Internet banking user continuance behavior.
Influence of headship instructional leadership proficiencies on academic performance: the case of rural primary schools of Kweneng region in Botswana
Authors: Bakokonyane Kaone 
Published: March 2022

PurposeThe purpose of this study was to identify the headship instructional leadership proficiencies, and how they influenced academic performance in high and low performing rural primary schools of Kweneng region.Design/methodology/approachQualitative approach, using a multi-cross case study analysis was used. Data were collected through an in-depth, semi-structured and focus group interviews, observations and document analysis. Purposive sampling methods were used, and the study drew data from 56 participants. These were 4 school heads, 4 deputy school heads, 4 heads of department, 8 senior teachers, 12 teachers and 24 learners.FindingsThe cross-analysis case study findings revealed that high-performing rural primary schools involved their staff and stakeholders in crafting and implementation of the school vision, mission, values and strategic plans. This approach helped them in monitoring school and classroom instructions; hence, resulting in improved academic performance. On the contrary, low-performing schools paid lip service to “involvement” approach.Research limitations/implicationsThe implication for further study is that any future study can consolidate and expand the findings of this research by focusing on Botswana's rural secondary schools.Practical implicationsThe implication of this study is that the ability of an excellent school head with instructional leadership proficiencies can change a low-performing rural primary school into a high-performing rural primary school. Therefore, schools heads who have instructional leadership proficiencies can be placed in low-performing schools for transformation.Social implicationsMoreover, the social implication is that school heads from low-performing schools should benchmark instructional leadership proficiencies from high-performing schools.Originality/valueThe written case study narratives were given to participants for approval to find out if what was written was what they said. After their approval, the research supervisors validated them to check for biases and exaggerations.
Trends, risks and potential cooperations in the AI development market: expectations of the Hungarian investors and developers in an international context
Authors: Feher Katalin , Veres Zoltan 
Published: March 2022

PurposeThe goal of the paper is to identify the comprehensive trends, practical implications and risks of artificial intelligence (AI) technology in the economy and society, exploring the expectations of Hungarian powerful actors in a global arena.Design/methodology/approachSociology of expectations framed the theoretical considerations. The explorative research design presents an anonymous qualitative online survey. Respondents represent the Hungarian AI Coalition with a quarter of the members.FindingsThe key finding is a controversial result. Although AI is interpreted as a decision-supportive and problem-solving technology for the economy, uncertainties and fears for the society are clearly formulated. Interpreting the results and the originality of the paper, trust building and responsibility sharing in cross-industrial collaborations are fundamental to reduce social uncertainties, override the popular or science fiction narratives and increase the future well-being.Research limitations/implicationsThe length of textual responses did not allow a deeper analysis. However, for professional reasons, participants were committed to completing the survey.Practical implicationsThe paper suggests for business and policymaking to identify the AI technology as a tool distinguishing from tech-owners’ responsibilities. Therefore, the implications of the study support a reliable AI and also potential for cross-industrial collaborations.Originality/valueThe paper highlights the uncertainties of business investment and policymaking to encourage a comparative research project in the EU for trustworthy AI. Similar exploratory studies with the same focus, sample and outcome are not available yet
How technostress and self-control of social networking sites affect academic achievement and wellbeing
Authors: Whelan Eoin , Golden Willie , Tarafdar Monideepa 
Published: March 2022

PurposeSocial networking sites (SNS) are heavily used by university students for personal and academic purposes. Despite their benefits, using SNS can generate stress for many people. SNS stressors have been associated with numerous maladaptive outcomes. The objective in this study is to investigate when and how SNS use damages student achievement and psychological wellbeing.Design/methodology/approachCombining the theoretical perspectives from technostress and the strength model of self-control, this study theoretically develops and empirically tests the pathways which explain how and when SNS stressors harm student achievement and psychological wellbeing. The authors test the research model through a two-wave survey of 220 SNS using university students.FindingsThe study extends existing research by showing that it is through the process of diminishing self-control over SNS use that SNS stressors inhibit achievement and wellbeing outcomes. The study also finds that the high use of SNS for academic purposes enhances the effect of SNS stressors on deficient SNS self-control.Originality/valueThis study further opens up the black box of the social media technostress phenomenon by documenting and validating novel processes (i.e. deficient self-control) and conditions (i.e. enhanced academic use) on which the negative impacts of SNS stressors depend.
A review of sustainability trade-offs affecting suppliers in developed and less developed countries
Authors: Nand Alka Ashwini , Menon Raveen , Bhattacharya Ananya , Bhamra Ran 
Published: March 2022

PurposeThis paper aims to investigate the current state of research on sustainability-related manufacturing trade-offs (i.e. giving preference and priority to one dimension over others) that affect suppliers in developed and less developed countries (LDCs). There is growing pressure on suppliers to adopt sustainable practices into their global supply chains. Successfully implementing all three dimensions of the triple bottom line (TBL) imperative can provide organizations with an added capability and potentially result in competitive advantage and a focus on sustainable development goals (SDGs) in the long run. However, designing supply chains for achieving the TBL requires suppliers to recognize and overcome numerous trade-offs.Design/methodology/approachA systematic literature review comprising 71 papers published between 2004 and 2020 was undertaken using a content analysis approach to identify trade-offs affecting suppliers.FindingsThis study firstly identified eight sustainability-related trade-offs affecting suppliers from a TBL perspective in both developed and LDCs, consequently, allowing for a detailed discussion on trade-off factors and conditions unique to both developed and LDCs. Together, these findings enable this study to present initiatives and investment-related decisions for supply chains from a TBL perspective.Originality/valueIn spite of the plethora of studies on sustainable supply chains, there is little research on trade-offs, specifically those affecting sustainability of suppliers operating in LDCs. This paper addresses this critical gap and advances the literature on sustainability-related supply chain trade-offs.
The relationship between knowledge-based economies and economic growth: an empirical analysis on the Asia-Pacific region 2011–2018
Authors: Elhini Maha , Mourad Yara 
Published: March 2022

Purpose
This paper aims to examine the relationship between knowledge-economy and economic growth in 16 Asia-Pacific (AP) countries during the period 2011–2018. The study also aims to investigate a diversity of knowledge-economy pillars, including tertiary education, domestic innovation, foreign innovation, economic incentives and institutional regime and information and communications technologies (ICTs) and their relation to economic growth.

Design/methodology/approach
The study applies a comparative empirical analysis using pooled ordinary least squares (OLS), one-step difference generalised methods of moments (GMM) and bias-corrected least-squares dummy variables (LSDVc) estimators to test this relationship.

Findings
Pooled OLS estimators deemed suboptimal to the panel data under study, while GMM results reveal a significant relationship between tertiary education, domestic and foreign innovation, government expenditure and investments with economic growth. Of these results, domestic innovation, investments and government consumption are positively correlated with economic growth, whereas tertiary education and foreign innovation show a negative relation. Meanwhile, institutions and ICT have insignificant relationships with economic growth. LSDVc results coincide with GMM results with respect to tertiary education, whereas institutions is the only additional significant and negatively correlated variable with economic growth.

Research limitations/implications
The main limitation of this research lies in the unavailability of proxy data for knowledge economy pillars in monetary terms, and hence, the paper relies on indices.

Originality/value
The novelty of the study lies in its aim to investigate economic growth in the AP region that is enhanced by domestic innovation, foreign innovation or both – an area which is empirically understudied in the knowledge-economy context. Further, the paper’s novelty lies in its application of a comparative empirical analysis between the most popular dynamic panel estimators – dynamic GMM and bias-corrected LSDVc for AP countries.
Drivers of growth expectations in Latin American rural contexts
Authors: Mahn Daniel , Lecuna Antonio , Chavez Gonzalo , Barros Sebastian 
Published: March 2022

Purpose
Given the importance of growth-oriented entrepreneurship in the context of economic development and the need to understand how rural communities can be developed, the purpose of this research paper is to determine how the drivers of growth expectations differ between urban and rural settings.

Design/methodology/approach
The methodology is threefold: firstly, a descriptive analysis with non-parametric testing is conducted; then pooled regression model is used to analyse the predictors of growth expectations in both contexts, and finally, coarsened exact matching is used to identify possible self-selection bias.

Findings
In contrast to mainstream entrepreneurship theory, it is found that entrepreneurs’ intrinsic knowledge, skills and abilities are not significant in the rural-specific model. The only exception is entrepreneurs’ educational level, the importance of which is emphasised as a pivotal factor in increasing high-growth ventures in rural communities. Additionally, when self-selection is eliminated, rurality worsens growth intentions.

Practical implications
There is evidence that some growth-oriented entrepreneurs self-select into rural communities. Because the high-growth entrepreneurial dynamics in rural areas are unique, public policies should target purpose-driven entrepreneurial education. This includes encouraging “lifestyle entrepreneurship” (e.g. retirees returning to rural areas to become entrepreneurs), preventing entrepreneurial brain drain in rural areas and attracting highly educated urban entrepreneurs to exploit opportunities in rural areas.

Originality/value
This research attempts to contribute to the ongoing debate regarding the factors that drive high-growth entrepreneurs in rural areas by analysing rural entrepreneurs in the high-growth context of a developing economy. The focus is on Chile – a country that is rarely investigated compared to the USA or Europe – to extend the literature on high-growth ventures and entrepreneurial ecosystems.
FPGA accelerated model predictive control for autonomous driving
Authors: Li Yunfei , Li Shengbo Eben , Jia Xingheng , Zeng Shulin , Wang Yu 
Published: March 2022

Purpose
The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic research.

Design/methodology/approach
In this paper, the MPC algorithm is written into FPGA by combining hardware with software. Experiments have verified this method.

Findings
This paper implements a ZYNQ-based design method, which could significantly reduce the difficulty of development. The comparison with the CPU solution results proves that FPGA has a significant acceleration effect on the solution of MPC through the method.

Research limitations implications
Due to the limitation of practical conditions, this paper cannot carry out a hardware-in-the-loop experiment for the time being, instead of an open-loop experiment.

Originality value
This paper proposes a new design method to deploy the MPC algorithm to the FPGA, reducing the development difficulty of the algorithm implementation on FPGA. It greatly facilitates researchers in the field of autonomous driving to carry out FPGA algorithm hardware acceleration research.
The mediating role of prosocial motivation in the context of knowledge sharing and self-determination theory
Authors: Göhler Georg-Friedrich , Hattke Judith , Göbel Markus 
Published: March 2022

Purpose
This paper aims to determine whether prosocial motivation acts as a mediator between the individual motivation types of self-determination theory and knowledge sharing.

Design/methodology/approach
A partial least squares structural equation model (PLS-SEM) based on data collection (N = 303) ) was calculated, using “Smart PLS 3” software.

Findings
In respect of the influence of individual motivation types on knowledge sharing, it was found that prosocial motivation provides indirect mediation for external motivation and complementary mediation for introjected motivation, whereas it has no mediation effect on intrinsic and identified motivation.

Research limitations/implications
Future research should consider the use of prosocial motivation as a mediator to reveal indirect effects that, otherwise, are at risk of remaining hidden.

Practical implications
To foster knowledge sharing within organizations, measures should be taken to increase external, introjected and prosocial motivation, as it was found that these types of motivation have a significant positive impact on knowledge sharing.

Originality/value
The current unanswered question – whether or not prosocial motivation acts as a mediator between the motivation types of self-determination theory and knowledge sharing – is examined, thereby providing insights into the hitherto largely unexplored role of prosocial motivation in knowledge-sharing models.