bluuebunny/crossref_metadata_2025_split huggingface dataset:
RAS mutation patterns arise from tissue-specific responses to distinct oncogenic signaling
Authors: Erdogan Ozgun , Pershing Nicole L.K. , Kaltenbrun Erin , Newman Nicole J. , Everitt Jeffrey I. , Counter Christopher M. 
Published: December 2021

AbstractDespite multiple possible oncogenic mutations in the proto-oncogene KRAS, unique subsets of these mutations are detected in different cancer types. As KRAS mutations occur early, if not being initiating, these mutational biases are ostensibly a product of how normal cells respond to the encoded oncoprotein. Oncogenic mutations can impact not only the level of active oncoprotein, but also engagement with effectors and other proteins. To separate these two effects, we generated four novel inducible Kras alleles encoded by the biochemically distinct mutations G12D versus Q61R encoded by native (nat) rare versus common (com) codons to produce either low or high protein levels. Each allele induced a distinct transcriptional response in normal cells. At one end of the spectrum, the KrasnatG12D allele induced transcriptional hallmarks suggestive of an expansion of multipotent cells, while at the other end, the KrascomQ61R allele exhibited all the hallmarks of oncogenic stress and inflammation. Further, this dramatic difference in the transcriptomes of normal cells appears to be a product of signaling differences due to increased protein expression as well as the specific mutation. To determine the impact of these distinct responses on RAS mutational patterning in vivo, all four alleles were globally activated, revealing that hematolymphopoietic lesions were sensitive to the level of active oncoprotein, squamous tumors were sensitive to the G12D mutant, while carcinomas were sensitive to both these features. Thus, we identify how specific KRAS mutations uniquely signal to promote the conversion of normal hematopoietic, epithelial, or squamous cells towards a tumorigenic state.
Exploring the food value chain using open innovation: a bibliometric review of the literature
Authors: Misra Avni , Mention Anne-Laure 
Published: December 2021

PurposeThis paper reviews the literature, foundational works and current trends related to the adoption of open innovation (OI) practices in the food industry, with a particular focus on the food value chain, using a bibliometric and content analysis approach.Design/methodology/approachThis study is based on 84 published documents in the field of food OI obtained using the Scopus database. First, a bibliometric analysis was conducted using a bibliographic coupling and co-citation analysis approach to understand the common themes and key clusters of food OI research. It further highlighted authors, countries, journals, years of publication and subject areas to comprehend the scope of the established literature. Second, a content analysis was undertaken to examine the titles and abstracts of the documents to explore the intersection of OI and the food value chain.FindingsThis study provides an integrated framework of the intersection of OI and the food value chain, including information about under-researched and emerging areas in the field of food innovation. It also highlights the critical challenges associated with OI food research and practices.Practical implicationsPractitioners can use the findings to uncover areas with limited open innovation adoption in the food value chain. They can identify extended research areas to explore the food value chain using an open innovation perspective, in different contexts within the food and beverage (F&B) industry. The framework can also be used for conducting comparative studies of current food innovation trends across different contexts within the F&B industry.Originality/valueBy adopting a multi-step approach involving a computer-assisted bibliometric examination complemented by a manual review undertaken through the lens of the food value chain, this literature review provides fresh and unique insights into past and present research on OI in the food industry and paves the way for future studies by laying out specific research avenues.
The influence of clan social capital on collective biogas investment
Authors: Wang Anbang , He Ke , Zhang Junbiao 
Published: December 2021

PurposeThe purpose of this paper is to examine the influence of clan social capital on the willingness to pay (WTP) and WTP value for collective biogas investment.Design/methodology/approachUsing the Heckman two-stage model and a dataset of 1,265 representative observations from three provinces in Central China collected in 2019, this paper utilizes the contingent valuation method to estimate households' WTP value for collective biogas investment. The paper also explores the heterogeneity between households with different clan governance mechanisms and village governance structures.FindingsThe results indicate that clan networks and trust were likely to improve farmer households' WTP, while clan trust and norms could improve their WTP values. For clans with councils and for clans that can influence the decision-making of village committees, their members were more likely to be influenced by the social capital of their clans to pay for collective biogas investment.Originality/valueThis paper focuses on the WTP and WTP values of households for collective biogas investment, which is often neglected in the research. This paper suggests that clans can be used as a medium to urge households to increase their collective power to reduce carbon emissions and climate crises. The findings empirically contribute to efforts to reduce rural carbon emissions.
Factors affecting hospital costs and revenue: integrating expert opinions and literature review
Authors: Zalvand Rostam , Mohammadian Mohammad , Meskarpour Amiri Mohammad 
Published: December 2021

PurposeThere is not enough comprehensive evidence on factors affecting hospital costs and revenue (HCR). The main objective of the current study is to identify and classify factors affecting HCR integrating experts' opinions and literature review.Design/methodology/approachFirst, a restricted literature review is conducted to identify the factors affecting HCR. In the second step, the targeted semi-structured interviews are conducted with 15 experts to identify, validate and classify the latent factors.FindingsIn addition to the factors identified through the literature review, 22 new important factors were added by the experts as the determinants of HCR, which were not pointed out in previous studies. The final model presented for the factors affecting HCR contains seven main groups, 22 subgroups and 70 variables.Originality/valueFactors affecting HCR will provide valuable contributions for hospital budgeting, and financial and strategic planning, and they will offer an effective horizon for future research on cost-cutting strategies.
Integration of fault-tolerant feature to OMIEEPB routing protocol in wireless sensor network
Authors: Nasurulla I. , Kaniezhil R. 
Published: December 2021

PurposeWhereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis, wireless sensor network (WSN) nodes must overcome faults and route the perceived data to the sink/base stations (BS). The main target of this research article is to ensure the fault-tolerance (FT) capability, especially for transmission of sensed data to its destination without failure. Thus, through this paper, a fuzzy-based subordinate support (FSS) system is introduced as an additional feature to the existing optimized mobile sink improved energy efficient Power-Efficient Gathering in Sensor Information Systems (PEGASIS)-based (OMIEEPB) routing protocol, which lacks focus on ensuring the FT capabilities to the selected leaders of the corresponding chain. The central focus of FSS is to prevent the incident of fault, especially to the cluster heads.Design/methodology/approachWSNs encounter several issues owing to random events or different causes such as energy exhaustion, negative influences of the deployed region, signal interference, unbalanced supply routes, instability of motes due to misalignments and collision, which ultimately intends the failure of the network. Throughout the past investigation periods, researchers gain an understanding of fault-tolerant strategies that may improve the data integrity or reliability, precision, energy efficiency, the life expectancy of the system and reduce/prevent the failure of deployed components. If that is the case, the maximum chances of data packets (sensed) needed to be transferred reliably and accurately to the sink node or BS are degraded.FindingsThe FSS system utilizes the fuzzy logic concepts that have been proved to be beneficial since it permits several parameters to be combined effectively and evaluated. Here, near-point, residual energy, total operation time and past average processing time are considered as vital parameters. Moreover, the FSS system ensures the key performance activities of the network, such as optimization of response time, enhancing the data transmission reliability and accuracy. Simulation-based experiments are carried out through the Mannasim framework. After several experimental executions, the outcome of the proposed system is analyzed through elaborated comparison with the advanced existing systems.Originality/valueFinally, it has been observed that the FSS system not only enhanced the FT features to OMIEEPB but also assures the improved accuracy level (>95%) with optimized response time (<0.09 s) during data communication between leaders and the normal nodes.
Improved neural network-based sensor fault detection and estimation strategy for an autonomous aerial vehicle
Authors: Ullah Mati , Zhao Chunhui , Maqsood Hamid , Ul Hassan Mahmood , Humayun Muhammad 
Published: December 2021

PurposeThis paper aims to design an adaptive nonlinear strategy capable of timely detection and reconstruction of faults in the attitude’s sensors of an autonomous aerial vehicle with greater accuracy concerning other conventional approaches in the literature.Design/methodology/approachThe proposed scheme integrates a baseline nonlinear controller with an improved radial basis function neural network (IRBFNN) to detect different kinds of anomalies and failures that may occur in the attitude’s sensors of an autonomous aerial vehicle. An integral sliding mode concept is used as auto-tune weight update law in the IRBFNN instead of conventional weight update laws to optimize its learning capability without computational complexities. The simulations results and stability analysis validate the promising contributions of the suggested methodology over the other conventional approaches.FindingsThe performance of the proposed control algorithm is compared with the conventional radial basis function neural network (RBFNN), multi-layer perceptron neural network (MLPNN) and high gain observer (HGO) for a quadrotor vehicle suffering from various kinds of faults, e.g. abrupt, incipient and intermittent. From the simulation results obtained, it is found that the proposed algorithm’s performance in faults detection and estimation is relatively better than the rest of the methodologies.Practical implicationsFor the improvement in the stability and safety of an autonomous aerial vehicle during flight operations, quick identification and reconstruction of attitude’s sensor faults and failures always play a crucial role. Efficient fault detection and estimation scheme are considered indispensable for an error-free and safe flight mission of an autonomous aerial vehicle.Originality/valueThe proposed scheme introduces RBFNN techniques to detect and estimate the quadrotor attitude’s sensor faults and failures efficiently. An integral sliding mode effect is used as the network’s backpropagation law to automatically modify its learning parameters accordingly, thereby speeding up the learning capabilities as compared to the conventional neural network backpropagation laws. Compared with the other investigated techniques, the proposed strategy achieve remarkable results in the detection and estimation of various faults.
Double materiality and the shift from non-financial to European sustainability reporting: review, outlook and implications
Authors: Baumüller Josef , Sopp Karina 
Published: December 2021

PurposeThis paper outlines the development of the principle of materiality in the European accounting framework, from the Modernization Directive (2003/51/EC) to the NFI Directive (2014/95/EU) and on to the proposals for a Corporate Sustainability Reporting (CSR) Directive (2021/0104 (COD)). The authors highlight how the requirements for corporate reporting in terms of sustainability matters have changed, underlining the main issues that require further attention by practitioners, researchers and legislators.Design/methodology/approachThis paper is based upon a historic analysis of European Union (EU) regulations in the field of non-financial and sustainability reporting and how these have changed over time. A conceptual comparison of different reporting concepts is presented, and changes in their relevance to the EU accounting framework are discussed as part of the historic analysis. Implications from corporate practice are derived from previous empirical findings from the EU Commission's consultations.FindingsThe proposed change from non-financial to sustainability reporting within the EU affects more than simply the terminology used. It implies that a different understanding is needed of both the purposes of company reporting on sustainability matters and the aims of carrying out such reporting. This change was driven by the need and desire to appropriately interpret the principle of materiality set forth in the NFI Directive. However, the recent redefinition in the shift within the EU Commission's proposals presents considerable challenges–and costs–in practice.Research limitations/implicationsFuture research on the conceptualization and operationalization of ecological and social materiality, as well as on the use of this information by different stakeholder groups, is necessary in order to (a) help companies that are applying the reporting requirements in practice, (b) support the increased harmonization of the reports published by these companies and (c) fully assess the costs and benefits associated with the increase in reporting requirements for these companies.Practical implicationsCompanies have to establish relevant reporting processes, systems and formats to fulfil the increasing number of reporting requirements.Originality/valueThis paper outlines the historic development of the principle of materiality regarding mandatory non-financial or sustainability reporting within the EU. It outlines a shift in rationales and political priorities as well as in implications for European companies that need to fulfil the reporting requirements. In consequence, it describes appropriate interpretations of this principle of materiality under current and upcoming legislation, enabling users to apply this principle more effectively.
Old frauds with a new sauce: digital assets and space transition
Authors: Dupuis Daniel , Smith Deborah , Gleason Kimberly 
Published: December 2021

Purpose
The purpose of this study is to describe the evolution of fraud schemes with historically conducted with fiat money in physical space to the crypto-assets in digital space as follows: ransomware, price manipulation, pump and dump schemes, misrepresentation, spoofing and Ponzi Schemes. To explain how fraud schemes have evolved alongside digital asset markets, this study applies the space transition theory.

Design/methodology/approach
The methodology used is a review of the media regarding six digital asset fraud schemes that have evolved from physical space to virtual space that are currently operational, as well as a review of the literature regarding the space transition theory.

Findings
This paper finds that the digital space and digital assets may facilitate pseudonymous criminal behavior in the present regulatory environment.

Research limitations/implications
The field is rapidly evolving, however this study finds that the conversion from physical to virtual space obfuscates the criminal activity, facilitating anonymity of the perpetrators, and creating new challenges for the legal and regulatory environment.

Practical implications
This paper finds that the digital space and digital assets may facilitate pseudonymous criminal behavior in the present regulatory environment. An understanding of the six crypto-asset fraud schemes described in the paper is useful for anti-financial crime professionals and regulators focusing on deterrence.

Social implications
The space transition theory offers an explanation for why digital space leads criminals to be better positioned to conduct financial crime in virtual space relative to physical space. This offers insights into behavior of digital asset fraudster behavior that could help limit the social damage caused by crypto-asset fraud.

Originality/value
To the authors’ knowledge, this paper is the first to detail the evolution of fraud schemes with fiat money in physical space to their corresponding schemes with digital assets in physical space. This study is also the first to integrate the space transition theory into an analysis of digital asset fraud schemes.
Antecedents and consequences of experiential value in fashion retailing: a study on Indian consumers
Authors: Varshneya Geetika 
Published: December 2021

PurposeCustomer's experiential value is influenced by external as well as internal factors. This study was an effort to explore the impacts of two relevant internal factors (lifestyle and involvement) and one important external factor (atmospherics) on experiential value. Further, it investigates the influence of experiential value on two pertinent outcomes (customer satisfaction and positive word of mouth).Design/methodology/approachA survey-based questionnaire was used to collect the data (n = 354) from fashion retail shoppers in NCR region in India and was analysed using structural equation modelling.FindingsThe results revealed that positive influence of atmospherics, involvement and lifestyle on experiential value dimensions. Subsequently, the study showed experiential value influences customer satisfaction, which further leads to positive word of mouth.Research limitations/implicationsThe study was carried out in fashion retail stores in National Capital Region in India. Therefore, further investigation is required for generalising the results. Theoretical and managerial contributions of the study are further discussed in the paper.Originality/valueArguably, this paper is an initial attempt to explore the antecedents and consequences of experiential value in the context of fashion retailing.
Rethinking companies’ culture through knowledge management lens during Industry 5.0 transition
Authors: Cillo Valentina , Gregori Gian Luca , Daniele Lucia Michela , Caputo Francesco , Bitbol-Saba Nathalie 
Published: December 2021

Purpose
Through the human resources (HR) and knowledge management (KM) perspective as human-centric processes, the aim of this study is to explore how companies’ engagement in diversity (DIV), inclusion (INC) and people empowerment (PEMP) policies influences companies’ organizational performance, to support organizations in the shift to the Industry 5.0 framework.

Design/methodology/approach
Combining the HR management and the KM-driven organizational culture, a conceptual model is proposed for explaining companies’ higher organizational performance. Proposed hypotheses are tested with reference to a set of listed international companies traced by Refinitiv on a five-year time horizon (2016–2020) through 24,196 firm-year observations.

Findings
This research shows that companies engaged in DIV policies, INC practices and PEMP through education have higher profitability and are more valued by capital markets’ investors.

Originality/value
This paper draws attention to the need to overcome the reductionist view of HR and rethink KM architecture to cope with the growing challenge of HR integration according to the Industry 5.0 paradigm.
How job resources influence employee productivity and technology-enabled performance in financial services: the job demands–resources model perspective
Authors: Nuutinen Sanna , Ahola Salla , Eskelinen Juha , Kuula Markku 
Published: December 2021

PurposeThis study aims to provide insight into the relationship between job resources (job control and possibilities for development at work) and employee performance, measured as employee productivity and technology-enabled performance, by examining the role of employee well-being (work engagement and emotional exhaustion).Design/methodology/approachThe data comprised two overlapping data sets collected from a large financial institution; Study 1 employed survey data (N = 636), whereas study 2 employed register data on job performance collected over a one-year period combined with survey data (N = 143). The data were analysed through structural equation modelling.FindingsStudy 1 indicated that job resources were positively associated with technology-enabled performance more strongly through work engagement than emotional exhaustion. Study 2 revealed that emotional exhaustion was associated with lower employee productivity, whereas work engagement was not. Furthermore, the results indicated that job control was related to higher productivity through a lower level of emotional exhaustion.Practical implicationsThe study's findings point to the importance of developing interventions that decrease emotional exhaustion.Originality/valueThis is one of the first studies to measure employee productivity longitudinally as a ratio of inputs (working time) to outputs (relevant job outcomes) over one year. This study contributes to the job demands–resources model (JD-R) literature by showing the importance of job control in fostering both employee productivity and more positive perceptions of technology.