bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative efficacy of antiviral strategies targeting different stages of the viral life cycle: A viral quasispecies dynamics study
Authors: Lwin Pancy , Lewis Greyson R. , Das Moumita , Jones Barbara A. 
Published: October 2022

AbstractWhile the COVID-19 pandemic continues to impact public health worldwide significantly, the use of antiviral drugs and therapies has dramatically reduced the instances of severe disease and death. More broadly, the unprecedented use of antivirals also provides hope for preventing and mitigating similar viral outbreaks in the future. Here we ask: What are the comparative impact of antiviral therapeutics targeting different stages of the viral lifecycle? How do antiviral therapeutics impact the viral population in the bloodstream, or in other words, the viral load in high and low-immunity individuals? To address these questions, we use a model of viral quasispecies dynamics to examine the efficacy of antiviral strategies targeting three critical aspects of the viral life cycle, fecundity, reproduction rate, or infection rate. We find a linear relationship of the viral load with the change in fecundity and a power law with the change in the reproduction rate of the virus, with the viral load decreasing as the fecundity and the reproduction rates are decreased. Interestingly, however, for antivirals that target the infection rate, the viral load changes non-monotonically with the change in infection rate; the viral population initially increases and then decreases as the infection rate is decreased. The initial increase is especially pronounced for individuals with low immunity. By examining the viral population inside cells for such cases, we found that the therapeutics are only effective in such individuals if they stop the infection process entirely. Otherwise, the viral population inside cells does not go extinct. Our results predict the effectiveness of different antiviral strategies for COVID-19 and similar viral diseases and provide insights into the susceptibility of individuals with low immunity to effects like long covid.
A TMT-based quantitative proteomics approach toward α-syn PFF associated Lewy Body Dementia (LBD) using α-syn PFF-injected mouse brain tissues
Authors: Akkentli Fatih , Jang In kyu , Choi Yoonseop , Yoo Dongyoon , Oh Eric Joon-Hun , Na Chan Hyun , Ha Shinwon , Kang Sung-Ung 
Published: October 2022

AbstractThe aggregation of α-synuclein in the nervous system leads to a class of neurodegenerative disorders termed α-synucleinopathies. A form of primary degenerative dementia called Lewy body dementia (LBD) often develops in the case these aggregations develop into intracellular inclusions called Lewy bodies (LB) and Lewy neurites (LN). Despite the high frequency of LBD, being the leading cause of dementia following Alzheimer’s disease (AD), there is relatively little information discovered about its pathological pathway or diagnostic criteria. In this report, we attempt to address such shortcomings via utilizing a proteomic approach to identify the proteomic changes following intrastriatal injection of α-synuclein preformed fibril (α-syn PFF). Through mass spectrometry, we have identified a total of 179 proteins that were either up- or down-regulated at different time points, with the four proteins – TPP3, RAB10, CAMK2A, and DYNLL1 – displaying the most significant changes throughout the timeframe. Further examining the modulated proteins with network-based enrichment analyses, we have found that 1) the most significantly associated neurodegenerative pathways were Parkinson’s (pV = 3.0e-16) and Huntington’s (pV = 1.9e-15) disease, and 2) the majority of molecular functions specific to the pathology only appeared at later time points. While these results do not expose a conclusive biomarker for LBD, they suggest a potential framework that may be utilized to diagnose and differentiate LBD pathology from other forms of dementia by focusing on the cortical proteomic changes which occur in a later time span.
ENHANCED GRAVITROPISM 2 coordinates molecular adaptations to gravistimulation in the elongation zone of barley roots
Authors: Guo Li , Klaus Alina , Baer Marcel , Kirschner Gwendolyn K. , Salvi Silvio , Hochholdinger Frank 
Published: October 2022

SummaryRoot gravitropism includes gravity perception in the root cap, signal transduction between root cap and elongation zone, and curvature response in the elongation zone. The barley (Hordeum vulgare) mutantenhanced gravitropism 2(egt2) displays a hypergravitropic root phenotype.We compared the transcriptomic reprogramming of the root cap, the meristem and the elongation zone of wild type andegt2seminal roots upon gravistimulation in a time-course experiment and identified direct interaction partners of EGT2 by yeast-two-hybrid screening and bimolecular fluorescence complementation (BiFC) validation.We demonstrated that the elongation zone is subjected to most transcriptomic changes after gravistimulation. Here, 35% of graviregulated genes are also transcriptionally controlled byEGT2, suggesting a central role of this gene in controlling the molecular networks associated with gravitropic bending. Gene co-expression analyses suggested a role ofEGT2in cell wall and reactive oxygen species (ROS)-related processes, in which direct interaction partners of EGT2 regulated byEGT2and gravity might be involved.Taken together, this study demonstrated the central role ofEGT2and its interaction partners in the networks controlling root zone-specific transcriptomic reprogramming of barley roots upon gravistimulation. These findings can contribute to the development of novel root idiotypes leading to improved crop performance.
Higher innovativeness, lower technostress?: comparative study of determinants on FinTech usage behavior between Korean and Chinese Gen Z consumers
Authors: Lee You-Kyung 
Published: October 2022

PurposeThe study aims to verify and compare the relationship of consumer innovativeness and technostress for FinTech usage behavior of Korean and Chinese Gen Z consumers.Design/methodology/approachThe study proposes an integrative causal model derived from consumer innovativeness, technostress, and FinTech usage intention of the Korean and Chinese Gen Z consumers and test the causal relationships using structural equation modeling (SEM).FindingsThe study results showed that social innovativeness negatively affected the three dimensions of technostress and had a significant positive impact on FinTech usage intention for all samples. Hedonist innovativeness had no significant positive impact on FinTech usage intention for all samples, but it differently affected the three sub-dimensions of technostress (uncertainty, invasion, and complexity) for each sample.Originality/valueThis study presents nascent literature on the causal relationships of consumer innovativeness, technostress, and FinTech usage behavior for Korean and Chinese Gen Z consumers.
Organizational antecedents and multiple paths of knowledge-sharing behavior of construction project members: evidence from Chinese construction enterprises
Authors: Cheng Fan , Yin Yilin 
Published: October 2022

PurposeLack of knowledge-sharing behavior (KSB) among construction project members hinders propagation of expertise, working methods, and lessons learned within an organization, and deprives the organization of a sustainable competitive edge. The present study investigates the combined effect of organizational antecedents of construction projects on members' KSB and provides a reference for developing management initiatives to motivate KSB.Design/methodology/approachBased on organizational theory and organizational behavior literature, five organizational antecedents associated with KSB from organizational culture and structure were identified. Subsequently, the authors used survey data from 152 organization members in Chinese construction enterprises to conduct the fuzzy-set qualitative comparative analysis (fsQCA) and reveal configurations of organizational antecedents influencing KSB.FindingsThis study identifies five configuration paths that are sufficient for shaping the KSB of construction project members, integrated into two types of driving modes, namely “trust-driven” and “incentive-driven”. Relevant discussions can guide managers of construction project organizations to position the driving strategies of KSB that match different organizational scenarios or constraints.Originality/valueBy analyzing the configuration effects of organizational antecedents on KSB, novel clues are provided for governing the deficiency of KSB among construction project members. This contributes to the literature on knowledge transfer and organizational behavior. The findings provide actionable insights for improving knowledge flow in construction project organizations and designing KSB guidance regimes.
Spurring innovation through intentional organizational crisis: the moderating effects of past performance and resources allocation capability
Authors: Shi Yan , Zou Bo , Wang Chunlan , Li Ou 
Published: October 2022

PurposeHow to promote innovation remains a challenge. In practice, some enterprises try to initiate an organizational crisis intentionally to spur innovation. This study approaches this practice and aims to explore the role of intentional organizational crisis in innovation.Design/methodology/approachThis study conducted an empirical study. Data was collected from 297 companies in China by a questionnaire survey.FindingsResults show the role of intentional organizational crisis in innovation. There is a U-shaped relationship between intentional organizational crisis and product innovation capability. Past performance and resources allocation capability moderate this relationship by weakening the impact of intentional organizational crisis on product innovation capability.Originality/valueThis study highlights the light and dark sides of intentional organizational crisis and explores its impact on innovation capability, providing some implications for practitioners to use crises as shocks to spur innovation and enriching the research of organizational crisis and innovation capability.
The “proximal depiction effect” of indulgent (versus non-indulgent) foods on consumer responses
Authors: Malik Sumit , Sayin Eda , Jain Kriti 
Published: October 2022

PurposeThis paper aims to examine the effect of proximal (versus distant) depiction of food products within an advertising or online context on consumer responses across food types (indulgent versus non-indulgent) and display formats that lead to a single exposure (e.g. billboard) versus multiple exposures (e.g. online menu).Design/methodology/approachFive experimental studies, using both implicit and explicit elicitation techniques, demonstrate the effect of proximal food depictions. The paper rules out alternative explanations (portion-size perception and participants’ bodily distance) and controls for several other factors (e.g. visual crowding, body-mass index, dietary restrictions, etc.)FindingsThe studies find that proximal food pictures are implicitly associated with tastiness more for indulgent (vs non-indulgent) foods; lead to higher purchase intention for indulgent food upon a single exposure driven by enhanced perceived tastiness; and evoke satiation upon multiple exposures.Research limitations/implicationsThis research identifies the effect of spatial proximity of food depiction on consumer responses using different stimuli. Future work could explore the effects in alternate consummatory contexts.Practical implicationsThe findings provide clear instructions to marketers and policymakers on how to tailor consumer responses using spatial distance in depiction of food products, depending on the food type and display format. Understanding the effect of visual food cues will help policymakers devise strategies to counter over-consumption, which increases the risk of non-communicable diseases and reduces consumer well-being (SDG 3, United Nations).Originality/valueIntroducing a novel pictorial cue (i.e. the spatial distance of product depiction), this paper contributes insights to the literature on implicit associations, visual information processing, satiation, over-consumption and food marketing.
Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects
Authors: Egwim Christian Nnaemeka , Alaka Hafiz , Demir Eren , Balogun Habeeb , Ajayi Saheed 
Published: October 2022

PurposeThis study aims to develop a comprehensive conceptual framework that serves as a foundation for identifying most critical delay risk drivers for Building Information Modelling (BIM)-based construction projects.Design/methodology/approachA systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify key delay risk drivers in BIM-based construction projects that have significant impact on the performance of delay risk predictive modelling techniques.FindingsThe results show that contractor related driver and external related driver are the most important delay driver categories to be considered when developing delay risk predictive models for BIM-based construction projects.Originality/valueThis study contributes to the body of knowledge by filling the gap in lack of a conceptual framework for selecting key delay risk drivers for BIM-based construction projects, which has hampered scientific progress toward development of extremely effective delay risk predictive models for BIM-based construction projects. Furthermore, this study's analyses further confirmed a positive effect of BIM on construction project delay.
A study on teachers' perception towards E-learning adoption in higher educational institutions in India during the COVID-19 pandemic
Authors: Kumar Pankaj , Kumar Parveen , Garg Ramesh Kumar , Panwar Manoj , Aggarwal Vaibhav 
Published: October 2022

PurposeThe present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher Educational Institutions (HEIs) in India during the COVID-19 pandemic.Design/methodology/approachData were collected through online Google forms from 1,111 (1,060 considered useable) teachers of different HEIs in India using the purposive sampling technique and was analyzed by PLS-SEM (performing partial least squares-structural equation modeling).FindingsResults of this study show that perceived usefulness (PU) followed by institutional support, perceived ease of use (PEOU), and teacher-student interaction positively and significantly impact teachers' satisfaction. Results also revealed that perceived usefulness (PU), institutional support, and satisfaction significantly affect teachers' attitude. Finally and most notably, teachers' continuance intention towards using online teaching in HEIs is most significantly influenced by teachers' satisfaction than perceived usefulness (PU), perceived ease of use (PEOU), and attitude.Originality/valueThe authors anticipate that this study brings a significant and valuable input to the existing literature by providing inclusive research in a more harmonizing understanding of the teachers' satisfaction, attitude, and continuance intention with online teaching-learning practices in diverse educational institutions.
Assessing climate change vulnerability of smallholder farmers in northwest Ethiopia: application of a household intrinsic vulnerability index
Authors: Yimam Dereje Amene , Holvoet Nathalie 
Published: October 2022

Purpose
The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective adaptive strategies and actions.

Design/methodology/approach
A multi-scale analytical tool and hazard-generic socio-economic indicators were developed to identify and prioritise the most vulnerable households and districts in Northwest Ethiopia. Categorical principal component analysis with 36 indicators was used to develop weights for different indicators and construct a household intrinsic vulnerability index. Data were collected through key information interviews, focus group discussions and a household survey with 1,602 randomly selected households in three districts of Northwest Ethiopia.

Findings
Drawing on intrinsic vulnerability index computation, this study highlights that low levels of education, low access to climate information and credit services, long distance travelled to fetch water and frequent food shortages are the dominant factors contributing to high levels of intrinsic vulnerability at district level, while lack of livelihood support and income diversification are the key drivers of vulnerability at household level. The findings of this study further show that the majority of households (78.01%) falls within the very high to moderately high vulnerable category. Disaggregating the data according to agro-climatic zones highlights that the prevalence of high intrinsic vulnerability is most widespread in the lowland agro-climatic zone (82.64%), followed by the highland (81.97%) and midland zones (69.40%).

Practical implications
From a policy intervention vantage point, addressing the drivers of vulnerability provides a reliable approach to reduce the current vulnerability level and manage potential climate change-induced risks of a system. Specifically, reliable information on inherent vulnerability will assist policymakers in developing policies and prioritising actions aimed at reducing vulnerability and assisting in the rational distribution of resources among households at a local level.

Originality/value
This study contributes to the existing vulnerability literature by showing how hazard-generic socio-economic indicators in the vulnerability assessment adopted by the IPCC (2014) are important to identify drives of vulnerability which ultimately may feed into a more fundamental treatment of vulnerability.
Does the stakeholder's relationship affect supply chain resilience and organizational performance? Empirical evidence from the supply chain community of Pakistan
Authors: Qazi Asad Ali , Appolloni Andrea , Shaikh Abdul Rehman 
Published: October 2022

PurposeThe aim of this paper is to investigate the role of the stakeholder's relationship with supply chain resilience (SCR) and organizational performance (OP) using the lens of stakeholder theory in the manufacturing and service industry. Investigating the supply chain community in Pakistan, this paper explores the relationship between SCR, OP and the stakeholder's relationship (including customers and suppliers).Design/methodology/approachA partial least square (PLS) – structural equation modeling (SEM) technique using SmartPLS 3.3.3 was used to test the hypotheses. Data were collected through a survey (questionnaire) completed by 202 supply chain representatives. All respondents were supply chain professionals working in different organizations in Pakistan.FindingsThe findings of the study revealed that supplier relationship (SR) and customer relationship (CR) have a positive and significant impact on SCR and a positive and significant relationship between SCR and OP. A positive and significant relationship between customer relationship and OP was also noted. The mediating role of SCR is also found positive and significant.Practical implicationsThe outcomes of the study will help managers to strengthen SCR through relationship management. The study is also helpful to increase OP through stakeholder management.Originality/valueThis study empirically tests an inclusive model with a PLS-SEM technique where SCR plays a mediating role in the mechanism, which is crucial since the supplier and customer (stakeholder) relationship has been never tested to gauge the OP by positioning SCR as a mediator while using the lens of stakeholder theory.
Is it hard to be different during the COVID-19 crisis? Investigating the relationship between corporate social responsibility and earnings management
Authors: Khanchel Imen , Lassoued Naima 
Published: October 2022

PurposeThis paper aims to contribute to the literature on the earnings management (EM)–corporate social responsibility (CSR) relationship as most of the previous studies have been carried out in non-turbulent periods. This study investigates whether CSR affects EM during the pandemic period by testing two hypotheses: the cognitive biases hypothesis and the resilience hypothesisDesign/methodology/approachThe difference-in-difference and triple difference approaches are used for a sample of 536 US firms (268 socially responsible firms and 268 matched non-socially responsible counterparts) during the 2017–2021 period. Socially responsible firms are selected from the MSCI KLD 400 Social Index, and matched firms are identified through the propensity score matching method.FindingsThe authors find an income-increasing practice for both socially responsible firms and control firms for the whole period and each sub-period. Moreover, socially responsible firms are more likely to manage their earnings (income increasing) than their counterpart. Furthermore, the authors show that CSR commitment exacerbated EM in line with the cognitive biases hypothesis.Originality/valueThis study is the first shed light on the dark side of CSR during pandemic periods.
A framework for assessing trust in e-government services under uncertain environment
Authors: Shayganmehr Masoud , Kumar Anil , Garza-Reyes Jose Arturo , Zavadskas Edmundas Kazimieras 
Published: October 2022

PurposeIn this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.Design/methodology/approachA unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.FindingsThe findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.Research limitations/implicationsThe study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.Practical implicationsThe study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.Originality/valueThe study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.