bluuebunny/crossref_metadata_2025_split huggingface dataset:
DISRUPTOR: Computational identification of oncogenic mutants disrupting protein interactions
Authors: Kugler V , Lieb A , Guerin N , Donald BR , Stefan E , Kaserer T 
Published: November 2022

AbstractWe report an Osprey-based computational protocol to prospectively identify oncogenic mutations that act via disruption of molecular interactions. It is applicable to analyze both protein-protein and protein-DNA interfaces and has been validated on a dataset of clinically relevant mutations. In addition, it was used to predict previously uncharacterized patient mutations in CDK6 and p16 genes, which were experimentally confirmed to impair complex formation.
The dark kinase STK32A regulates hair cell planar polarity opposite of EMX2 in the developing mouse inner ear
Authors: Jia Shihai , Ratzan Evan M. , Goodrich Ellison J. , Abrar Raisa , Heiland Luke , Tarchini Basile , Deans Michael R. 
Published: November 2022

SummaryThe vestibular maculae of the inner ear contain sensory receptor hair cells that detect linear acceleration, contribute to equilibrioception, and thereby coordinate posture and ambulatory movements. These hair cells are divided between two groups, separated by a line of polarity reversal (LPR), with oppositely oriented planar-polarized stereociliary bundles that detect motion in opposite directions. The transcription factor EMX2 is known to establish this planar polarized organization by regulating the distribution of the transmembrane receptor GPR156 at the hair cell surface in one group of cells, however those genes regulated by EMX2 in this context were previously not known. We have identified the serine threonine kinase STK32A as a downstream effector negatively regulated by EMX2.Stk32ais expressed in hair cells on one side of the LPR in a pattern complementary toEmx2due to transcriptional repression.Stk32ais necessary to align the intrinsic polarity of the bundle with the core planar cell polarity (PCP) proteins in EMX2-negative regions, and is sufficient to reorient bundles when ectopically expressed in neighboring EMX2-positive regions. We demonstrate that STK32a reinforces LPR formation by regulating the apical localization of GPR156. These observations support a model in which bundle orientation is determined through separate mechanisms in hair cells on opposite sides of the LPR, with EMX2-mediated repression ofStk32adetermining the position of the LPR.HighlightsSTK32A is a planar polarity effector that is negatively regulated by the transcription factor EMX2Stk32a is necessary and sufficient to determine vestibular hair cell stereociliary bundle orientationSTK32A contributes to the post-translational regulation of GPR156, preventing GPR156 localization in the absence of EMX2
Non-neutralizing antibody responses to vesicular stomatitis virus-vectored influenza A virus vaccines correlate with protection
Authors: Wittwer Kevin , Zimmer Gert , Rommel Marcel , Krebs Yvonne , Rezinciuc Svetlana , Sawatsky Bevan , Pfaller Christian K. 
Published: November 2022

AbstractSeasonal influenza virus infections remain a major global public health burden. In addition, influenza A virus (IAV) exhibits high pandemic potential through zoonotic spread from avian hosts to humans. Currently licensed IAV vaccines are mainly directed against the immuno-dominant surface protein hemagglutinin (HA). Since HA is antigenically highly variable, IAV can escape vaccine-derived immunity through antigenic drift. However, vaccine preparations such as the live-attenuated influenza vaccine (LAIV) also contain other more conserved viral antigens, whose contribution to influenza immunity are not fully elucidated. To determine the extent to which conserved LAIV antigens contribute to establishing protective immunity against heterologous IAV strains, we generated vesicular stomatitis virus-based single-round vector vaccines expressing individual LAIV antigens, and tested their ability to protect mice from a heterologous challenge with two IAV strains, PR8[H1N1] and rSC35M[H7N7]. We found that immunization with nucleoprotein (NP), ion channel M2, and the stem-region of HA (HAstem), but not matrix protein (M1), provide protection from severe disease caused by either IAV strain. This effect correlated with development of non-neutralizing antibodies cross-reactive with both virus strains. Notably, the individual antigens induced specific IgG subclass profiles with different reactivity against PR8 and rSC35M. Sera from vaccinated animals activated Fc-gamma receptor IV-mediated effector functions, suggesting that they can induce cell-mediated immune defense mechanisms, such as antibody-dependent cellular cytotoxicity and antibody-dependent cellular phagocytosis. Combination of the most potent antigens NP and M2 in a mixed vaccination resulted in enhanced protection against IAV challenge, suggesting that the antibody responses against these antigens were synergistic. Our results demonstrate the potency of NP and M2 proteins to serve as conserved antigen targets, resulting in broad protection against severe IAV disease.
Understanding and application of quality costs in automotive manufacturing companies in North Macedonia: empirical study
Authors: Velkoska Cvetanka , Tomov Mite 
Published: November 2022

PurposeThis study aims at presenting deeper insights regarding the understanding and application of the quality costs (CoQ) in the automotive manufacturing industry. The empirical research included three general determinants: reasons for, difficulties during and benefits from implementing quality costs, as well as two specific determinants: measuring and evaluating quality cost elements.Design/methodology/approachThe empirical research methodology employs the expert evaluation method – the Delphi method, using a survey questionnaire comprising a total of 200 questions, and answered by 9 companies.FindingsThe survey results showed that companies do recognize the reasons for implementing quality costs as a need arising from the quality management standards, the lack of knowledge of quality costs by employees and management as the biggest difficulty while the biggest benefit includes the quality costs enhance the company competitiveness. The costs competence and qualification, the quality management system costs, the costs for improvement, the production control costs, the input control costs, the new measuring and control equipment calibration costs, the costs related to scrap, repairs and product finishing are the most significant elements of the quality costs.Research limitations/implicationsThis study is limited by the small number of surveyed companies from the automotive cluster.Practical implicationsThe proposed quality costs model provides to the management to conceive CoQ elements as possible drivers in the improvement process of product quality. The structure and the nature of the CoQ elements is expected to advance the process of detailing the quality costs elements.Originality/valueThe novelty of this paper refers to development of a generic quality cost model, whose relevance is confirmed by the structuring of the model with elements published in literature and validating in research companies.
How do different Industry 4.0 technologies support certain Circular Economy practices?
Authors: Lei Zhimei , Cai Shanshan , Cui Li , Wu Lin , Liu Yiwei 
Published: November 2022

PurposeUncovering the relationship between Industry 4.0 (I4.0) technologies and circular economy (CE) practices is critical not only for implementing CE but also for leveraging I4.0 to achieve sustainable development goals. However, the potential connection between them – especially how different I4.0 technologies may influence various CE practices – remains inadequately researched. The purpose of this study was to quantitatively explore the impacts of various I4.0 technologies on CE practices.Design/methodology/approachA mixed method consisting of a systematic literature review, content analysis, and social network analysis was adopted. First, 266 articles were selected and mined for contents of I4.0 technologies and CE practices; 27 I4.0 technologies and 21 CE practices were identified. Second, 62 articles were found that prove the positive influence of I4.0 technologies on CE practices, and 124 relationships were identified. Third, based on evidence supporting the link between I4.0 technologies and CE practices, a two-mode network and two one-mode networks were constructed, and their network density and degree centrality indicators were analyzed.FindingsI4.0 technologies have a low application scope and degree for promoting CE. The adoption of a single I4.0 technology has limited effect on CE practices, and wider benefits can be realized through integrating I4.0 technologies. The Internet of Things (IoT), additive manufacturing, big data and analytics, and artificial intelligence (AI) are among the top technologies promoting CE implementation and reduction and recycling were identified as the main mechanism. The integration of these technologies is the most popular and effective. Twelve CE practices were identified to be the most widely implemented and supported by I4.0 technologies.Research limitations/implicationsFirst, only journal articles, reviews, and online publications written in English were selected, excluding articles published in other languages. Therefore, the results obtained only represent a specific group of scholars, which may be fragmented to a certain extent. Second, because the extraction of the impact of I4.0 on CE mainly relies on a manual literature review, this paper only provides the statistics of the number of publications involving relationships, while lacking the weight measurement of relationships.Originality/valueA comprehensive, quantitative, and visual analysis method was employed to unveil the current implementation levels of I4.0 technologies and CE practices. Further, it was explored how different I4.0 technologies can affect various CE aspects, how different I4.0 technologies are integrated to promote CE realization, and how various CE practices are implemented simultaneously by I4.0 technologies.
An IoT-based and cloud-assisted AI-driven monitoring platform for smart manufacturing: design architecture and experimental validation
Authors: Caiazzo Bianca , Murino Teresa , Petrillo Alberto , Piccirillo Gianluca , Santini Stefania 
Published: November 2022

PurposeThis work aims at proposing a novel Internet of Things (IoT)-based and cloud-assisted monitoring architecture for smart manufacturing systems able to evaluate their overall status and detect eventual anomalies occurring into the production. A novel artificial intelligence (AI) based technique, able to identify the specific anomalous event and the related risk classification for possible intervention, is hence proposed.Design/methodology/approachThe proposed solution is a five-layer scalable and modular platform in Industry 5.0 perspective, where the crucial layer is the Cloud Cyber one. This embeds a novel anomaly detection solution, designed by leveraging control charts, autoencoders (AE) long short-term memory (LSTM) and Fuzzy Inference System (FIS). The proper combination of these methods allows, not only detecting the products defects, but also recognizing their causalities.FindingsThe proposed architecture, experimentally validated on a manufacturing system involved into the production of a solar thermal high-vacuum flat panel, provides to human operators information about anomalous events, where they occur, and crucial information about their risk levels.Practical implicationsThanks to the abnormal risk panel; human operators and business managers are able, not only of remotely visualizing the real-time status of each production parameter, but also to properly face with the eventual anomalous events, only when necessary. This is especially relevant in an emergency situation, such as the COVID-19 pandemic.Originality/valueThe monitoring platform is one of the first attempts in leading modern manufacturing systems toward the Industry 5.0 concept. Indeed, it combines human strengths, IoT technology on machines, cloud-based solutions with AI and zero detect manufacturing strategies in a unified framework so to detect causalities in complex dynamic systems by enabling the possibility of products’ waste avoidance.
The role of internal market orientation on the adoption of external market orientation in retail banking
Authors: Zebal Mostaque A. , Sharif Taimur R. , Crumbly Jack , Zebal Anushe 
Published: November 2022

Purpose
The purpose of this study was to investigate the role of internal market orientation on the adoption of external market orientation among the retail banks in the United Arab Emirates (UAE). This study adds to the previous research regarding external market orientation. It also develops an empirical model on the basis of the results.

Design/methodology/approach
This study used a self-administered structured questionnaire to collect data from the front-line marketing and non-marketing employees from the banks. Data were collected from 98 branches of all the 49 banks that operate in the UAE. Two major emirates of the UAE, namely, Abu Dhabi and Dubai, were considered for data collection. Each bank contributed responses from a minimum of two branches, and 113 completed questionnaires were received out of 196 respondents approached for data collection. The reliability, convergent and discriminant validity issues of the data were assessed, and the results of these confirmed the appropriateness of the data used in this study.

Findings
Direct entry regression and multivariate analysis of variance were used for identifying the conclusions surrounding the hypotheses of the study. The results measured the extent of internal market orientation and employees’ organisational commitment. They both confirmed their positive role on the adoption of external market orientations among the retail banks in the UAE. The results of the study further provided evidence that once an external market orientation focus is adopted, this benefits customer loyalty and satisfaction in addition to overall positive business outcomes for the banks concerned.

Originality/value
The findings of this study support the theoretical arguments of the role of employees and internal market orientation on the adoption of external market orientation. This study further identifies the reason why the adoption of external market orientation is critical for the success of banks.
A theory of planned behaviour: perspective on rehiring ex-offenders
Authors: Khasni Fatin Nadirah , Keshminder J.S. , Chuah Soo Cheng , Ramayah T. 
Published: November 2022

PurposeUsing the theory of Planned Behaviour as the basis, the study investigates the impact of attitude, subjective norm and perceived behavioural control on rehiring intention. The predictors of attitude (i.e. organisational culture, risk and government incentives) and perceived behavioural control (i.e. skills and supporting documents) were examined by expanding the TPB model.Design/methodology/approachA self-administered survey was used to gather data from Malaysian firms hiring ex-offenders. Partial Least Squares (PLS) structural equation modelling (SEM) was used to verify the study's proposed research model's hypothesis.FindingsThe SEM analysis showed attitude and subjective norm as solid predictors of rehiring intention. For attitude, organisational culture and government incentives were proven to have an impact. Besides perceived behavioural control, the skill set was a significant predictor.Practical implicationsThis study suggests that active involvement of the government to engage employers with ex-offenders through incentives (tax deductions and wage and training subsidies) and prison job fairs can increase their employment opportunities. There is also a need for formal guidelines and practices on hiring ex-offenders in organisations to promote a positive hiring culture. Establishing an employment-based re-entry unit that provides ex-offenders with various transition skill programs, such as technical skills, job search skills and life skills, is crucial for their employment prospects.Originality/valueThis study is among the pioneers in investigating ex-offenders’ rehiring agenda, specifically examining factors that influence employers' decision making. The results are relevant to managers, regulators, institutions and NGOs to structure the right interventions to ensure ex-offenders are successfully hired. It is found that Interventions aiming to increase job opportunities for ex-offenders require activities that expand community and ex-offender engagement since it reduces the social stigma and promotes more ex-offenders accepting behaviour.
Working capital management of IPO firms
Authors: Lefebvre Vivien 
Published: November 2022

PurposeFinancial constraints limit firms' ability to invest in working capital, which results in opportunity costs from lost sales or stockouts. The author examines initial public offering (IPO) firms' working capital management and build on the idea that newly listed firms experience a liquidity shock that allows them to invest more in working capital.Design/methodology/approachThe empirical results are based on a sample of European IPO firms matched with comparable non-IPO firms; the author uses the generalized method of moments panel-data regressions to test the hypotheses.FindingsThe author observes that IPO firms increase their inventories-on-sales ratio, accounts receivable-on-sales ratio and operating working capital after the IPOs, which is consistent with the idea that going public relaxes financial constraints and allows firms to adopt more conservative working capital management practices. The observed results are stronger for smaller firms and zero-debt firms, which are the most financially constrained firms.Originality/valueThe study shows that working capital requirements can be financed via equity and not only via debt, and can even motivate the decision to go public for financially constrained firms.
A market sentiment indicator, behaviourally grounded, for the analysis and forecast of volatility and bubbles
Authors: Ciaschini Clio , Recchioni Maria Cristina 
Published: November 2022

PurposeThis work aims at designing an indicator for detecting and forecasting price volatility and speculative bubbles in three markets dealing with agricultural and soft commodities, i.e. Intercontinental Exchange Futures market Europe, (IFEU), Intercontinental Exchange Futures market United States (IFUS) and Chicago Board of Trade (CBOT). This indicator, designed as a demand/supply odds ratio, intends to overcome the subjectivity limits embedded in sentiment indexes as the Bull and Bears ratio by the Bank of America Merrill Lynch.Design/methodology/approachData evidence allows for the parameter estimation of a Jacobi diffusion process that models the demand share and leads the forecast of speculative bubbles and realised volatility. Validation of outcomes is obtained through the dynamic regression with autoregressive integrated moving average (ARIMA) error. Results are discussed in comparison with those from the traditional generalized autoregressive conditional heteroskedasticity (GARCH) models. The database is retrieved from Thomson Reuters DataStream (nearby futures daily frequency).FindingsThe empirical analysis shows that the indicator succeeds in capturing the trend of the observed volatility in the future at medium and long-time horizons. A comparison of simulations results with those obtained with the traditional GARCH models, usually adopted in forecasting the volatility trend, confirms that the indicator is able to replicate the trend also providing turning points, i.e. additional information completely neglected by the GARCH analysis.Originality/valueThe authors' commodity demand as discrete-time process is capable of replicating the observed trend in a continuous-time framework, as well as turning points. This process is suited for estimating behavioural parameters of the agents, i.e. long-term mean, speed of mean reversion and herding behaviour. These parameters are used in the forecast of speculative bubbles and realised volatility.
The bianchetto truffle (Tuber borchii) a lead‐resistant ectomycorrhizal fungus increases Quercus cerris phytoremediation potential
Authors: Sisti Davide , Donati Zeppa Sabrina , Amicucci Antonella , Vittori Antisari Livia , Vianello Gilmo , Puliga Federico , Leonardi Pamela , Iotti Mirco , Zambonelli Alessandra 
Published: November 2022

AbstractTuber borchii is a European edible truffle which forms ectomycorrhizas with several soft‐ and hardwood plants. In this article, the effects of high level of Pb on the in vitro growth of five T. borchii strains and the molecular mechanisms involved in Pb tolerance were studied. Moreover, the effects of the Pb treatment on T. borchii ectomycorrhizas and on the growth, element uptake and distribution in different organs of Quercus cerris seedlings were investigated. The results showed an extraordinary tolerance of T. borchii mycelium to Pb: all the tested strains were able to grow at Pb concentration over 4000 mg L−1. The mechanisms of tolerance seem related to Pb sequestration in the vacuole and its immobilization as crystal of Pb oxalate outside the hyphae rather than detoxification processes, considering the low expression of glutaredoxin and thioredoxin genes. T. borchii–Q. cerris mycorrhizas tolerate a soil concentration of Pb from 1869 to 4030 mg kg−1 although, at these Pb concentrations, T. borchii showed a reduced ability to colonize roots. T. borchii mycorrhization increased the uptake of Pb by Q. cerris. Mycorrhization and Pb treatment also significantly influenced the uptake and translocation in the plant of other elements.
Technology catch‐up in agriculture among advanced economies
Authors: Ball Virgil Eldon , San Juan Mesonada Carlos , Sunyer Manteiga Carlos , Ericson Kennet , Sheng Yu 
Published: November 2022

AbstractWe examine whether countries with low initial levels of agricultural total factor productivity (TFP) tend to ‘catch up’ with the technology leaders. We first compare relative levels of agricultural TFP, capital services and labour input levels in agriculture for 17 OECD countries between 1973 and 2011. Then we apply (conditional) convergence analysis to the panel data to examine the speed of convergence and test whether the convergence is transitory or permanent by analysing TFP changes over the business cycle. Capital intensities, quality improvement of capital, factors such as human capital spillovers, and certain agricultural policies are conditioning variables. We examine how differences in relative capital intensities affect agricultural productivity convergence over the business cycle. We find evidence that the speed of convergence increases during periods of contraction in economic activity.
Diet diversity, malnutrition and health: Evidence from Kenya
Authors: Korir Lilian , Rizov Marian , Ruto Eric 
Published: November 2022

AbstractWe investigate the effects of diet diversity on health outcomes indicated by the body‐mass index (BMI) of Kenyan women in their reproductive age (15–49 years). We estimate the demand for diet diversity (which is a proxy for diet quality) and analyse its relationship with BMI by allowing the effect of diet diversity to vary along the conditional BMI distribution. Results show that diet diversity is associated with a beneficial effect on the lower and upper tails of the BMI distribution, that is, dietary diversity improves BMI for underweight individuals while, at the same time, it reduces BMI for overweight/obese individuals. Specifically, doubling the diet diversity is associated with a 14.7% increase in BMI for underweight women and a 7.0% reduction in BMI of obese women. These results support the hypothesis that diet diversity is associated with optimal BMI and, thus, better health, contributing to the policy discourse concerning the double burden of malnutrition in developing countries.