bluuebunny/crossref_metadata_2025_split huggingface dataset:
Myosin-driven actin-microtubule networks exhibit self-organized contractile dynamics
Authors: Lee Gloria , Rust Michael J. , Das Moumita , McGorty Ryan J. , Ross Jennifer L. , Robertson-Anderson Rae M. 
Published: June 2020

AbstractThe cytoskeleton is a dynamic network of proteins, including actin, microtubules, and myosin, that enables essential cellular processes such as motility, division, mechanosensing, and growth. While actomyosin networks are extensively studied, how interactions between actin and microtubules, ubiquitous in the cytoskeleton, influence actomyosin activity remains an open question. Here, we create a network of co-entangled actin and microtubules driven by myosin II. We combine dynamic differential microscopy, particle image velocimetry and particle-tracking to show that both actin and microtubules in the network undergo ballistic contraction with surprisingly indistinguishable characteristics. This controlled contractility is distinct from the faster turbulent motion and rupturing that active actin networks exhibit. Our results suggest that microtubules can enable self-organized myosin-driven contraction by providing flexural rigidity and enhanced connectivity to actin networks. These results provide important new insight into the diverse interactions cells can use to tune activity, and offer a powerful platform for designing multifunctional materials with well-regulated activity.
Timing COVID-19 – Synchronization of longitudinal patient data to the underlying disease progression using CRP as a temporal marker
Authors: Maibach Martina A. , Allam Ahmed , Hilty Matthias P. , Gonzalez Nicolas A. Perez , Buehler Philipp K. , Garcia Pedro D. Wendel , Brugger Silvio D. , Ganter Christoph C. ,   The CoViD-19 ICU-Research Group Zurich,   The RISC-19-ICU Investigators, Krauthammer Michael , Schuepbach Reto A. , Bartussek Jan 
Published: June 2020

AbstractAdvances in medical technology and IT infrastructure have led to increased availability of continuous patient data that allows investigation of the longitudinal progression of novel and known diseases in unprecedented detail. However, to accurately describe any underlying pathophysiology with longitudinal data, the individual patient trajectories have to be synchronized based on temporal markers. In this study, we use longitudinal data from 28 critically ill ICU COVID-19 patients to compare the commonly used alignment markers “onset of symptoms”, “hospital admission” and “ICU admission” with a novel objective method based on the peak value of inflammatory marker C-reactive protein (CRP). By applying our CRP-based method to align the progression of neutrophils and lymphocytes, we were able to define a pathophysiological window that allowed further risk stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of patient data is crucial to differentiate severity subgroups and to allow reliable interpatient comparisons.
Power Laws in Superspreading Events: Evidence from Coronavirus Outbreaks and Implications for SIR Models
Authors: Fukui Masao , Furukawa Chishio 
Published: June 2020

AbstractWhile they are rare, superspreading events (SSEs), wherein a few primary cases infect an extraordinarily large number of secondary cases, are recognized as a prominent determinant of aggregate infection rates (ℛ0). Existing stochastic SIR models incorporate SSEs by fitting distributions with thin tails, or finite variance, and therefore predicting almost deterministic epidemiological outcomes in large populations. This paper documents evidence from recent coronavirus outbreaks, including SARS, MERS, and COVID-19, that SSEs follow a power law distribution with fat tails, or infinite variance. We then extend an otherwise standard SIR model with the estimated power law distributions, and show that idiosyncratic uncertainties in SSEs will lead to large aggregate uncertainties in infection dynamics, even with large populations. That is, the timing and magnitude of outbreaks will be unpredictable. While such uncertainties have social costs, we also find that they on averagedecreasethe herd immunity thresholds and the cumulative infections because per-period infection rates have decreasing marginal effects. Our findings have implications for social distancing interventions: targeting SSEs reduces not only the average rate of infection (ℛ0) but also its uncertainty. To understand this effect, and to improve inference of the average reproduction numbers under fat tails, estimating the tail distribution of SSEs is vital.
The curvilinear relationship between the age of adults and their mental health in Iran after its peak of COVID-19 cases
Authors: Chen Jiyao , Zhang Stephen X. , Wang Yifei , Jahanshahi Asghar Afshar , Dinani Maryam Mokhtari , Madavani Abbas Nazarian , Nawaser Khaled 
Published: June 2020

AbstractThe emerging body of research on the predictors of mental health in the COVID-19 pandemic has revealed contradictory findings, which prevent effective psychiatry screening for mental health assistance. This study aims to identify the predictors of nonsomatic pain, depression, anxiety, and distress, especially focusing on age as a nonlinear predictor. We conducted a survey of 474 adults in Iran during April 1–10, 2020, when Iran had just passed its first peak of the COVID-19 pandemic with new confirmed cases. We found that Age had a curvilinear relationship with nonsomatic pain, depression, and anxiety. Age was associated with pain, depression, and anxiety disorders negatively among adults younger than 45 years, but positively among seniors older than 70 years. Adults who were female, unsure about their chronic diseases, and exercised less per day were more likely to have mental health issues. This study advances the use of age as an effective predictor by uncovering a curvilinear relationship between individuals’ age and mental health issues by using a sample of adults across a wide spectrum of ages. We hope future research on mental health during COVID-19 pays more attention to nonlinear predictors.
Relationship between auditor integrity and organizational commitment to fraud prevention
Authors: Rifai Mohammad Husen , Mardijuwono Agus Widodo 
Published: June 2020

PurposeThe purpose of this research is to obtain empirical evidence about the impact of auditor’s integrity and organizational commitment to the prevention of fraud.Design/methodology/approachThis research was conducted using questionnaires distributed to all internal auditors who worked at East Java Representatives Office of Indonesia’s National Government Internal Auditor. One hundred and thirteen questionnaires were distributed, and fifty-seven questionnaires were received, and all have validity eligible to use in this research. The hypothesis of this research was tested using the partial least square analysis with WarpPLS version 6.0 software.FindingsThe result of this research found that auditor’s integrity and organizational commitment affect positively to fraud prevention.Originality/valueUsing government internal auditors, this study believed, brings a new insight into government internal auditor behavior.
Detecting unbalanced bidding to achieve economic sustainability using fuzzy logic approach
Authors: Li Huimin , Su Limin , L.V. Lelin , Xia Qing 
Published: June 2020

Purpose
To achieve sustainability for a construction project requires the achievement of economic, environmental and social sustainability at the same time. The economic sustainability of a project should be built into the stipulated cost. The unbalanced bidding always contribute cost overrun for a construction project. The purpose of this paper is to develop a method for identifying unbalanced bidding.

Design/methodology/approach
The problem of identifying unbalanced bidding is a comprehensive evaluation problem. All line items and bidders in bills of quantities are evaluation factors and evaluation objects, respectively, and the engineer’s estimated prices are considered as the evaluation benchmarks. The weights of these factors are determined through integrating the entropy weight method and the analytic hierarchy model, which consider subjective and objective factors in the weighting process.

Findings
The proposed model can be used to quantitatively evaluate unbalanced bids. The identification process can be analyzed within a short period, specifically with the aid of Microsoft Excel, reducing delays in awarding contracts. The results show that the model will support owners as they efficiently and effectively identify unbalanced bids in the bid evaluation stage to mitigate the negative consequences of unbalanced bidding.

Practical implications
A case study is given to verify the feasibility and practicability of the proposed method, which not only assists owners in efficiently and effectively identifying unbalanced bidding, but also promotes the economic sustainability of construction projects.

Originality/value
The fuzzy comprehensive evaluation method is used to detect unbalanced bidding, allowing owners to be objective as they identify and reduce unbalanced bidding at the procurement stage.
Coimbra as a literary tourism destination: landscapes of literature
Authors: Quinteiro Sílvia , Carreira Vivina , Rodrigues Gonçalves Alexandra 
Published: June 2020

PurposeThe purpose of this paper is to demonstrate the relevance of developing literary tourism in Coimbra.Design/methodology/approachThis exploratory qualitative research identifies existent resources and development potential of literary tourism. The instruments of data collection were bibliographic research, questionnaires, interviews and participant observation.FindingsThere are few literary tourism products in Coimbra, which contrasts with the number of literary places identified, namely, on the left bank of the River Mondego. Tourism development stakeholders in Coimbra have not paid enough attention to the emergence of literary tourism and the opportunities for the development of new sustainable cultural products related with it.Research limitations/implicationsThis study is limited by the size and continual renewal of the corpus, which implies a constant updating of data regarding authors and texts.Practical implicationsThis study will lead to the production of a database of Coimbra’s literary resources and a digital literary map, allowing any citizen or entity to design and implement literary tourism products.Originality/valueTo the best of authors’ knowledge, this is the first study reviewing the potential of Coimbra as a literary tourism destination. Moreover, it discusses literary heritage as a source of products and experiences to foster more balanced tourist flows throughout the city.
Digital corporate reporting and value relevance: evidence from the US and Japan
Authors: Shan Yuan George , Troshani Indrit 
Published: June 2020

PurposeThe study improves current understanding concerning the implications of digital corporate reporting technology on the informativeness of accounting information.Design/methodology/approachIt looks at how XBRL, an exemplar digital corporate financial reporting technology, affects value relevance of accounting information in the US and Japan, two key jurisdictions where XBRL has been mandated. We operationalise stock price and return value relevance models to assess and compare predicted associations between selected accounting measures and market value of equity in these countries.FindingsWe predict that the selected accounting measures are more value relevant after XBRL was mandated than before. We find evidence to support our prediction for the US sample. We also predict and find that the contribution of XBRL to the value relevance of the selected accounting measures is greater in the US than in Japan. Overall, our evidence provides support that digital corporate reporting technology enhances relevance and reliability of accounting measures.Originality/valueThe study appears to be the first to have examined the impact of XBRL on value relevance whilst comparing between two major jurisdictions. The study extends emerging but limited literature concerning the benefits of digital corporate financial reporting for enhancing the communication between firms and users of financial information. The findings are useful to both users of financial information and standard setters.
Global OTC pharmaceutical packaging with a local touch
Authors: Kauppinen-Räisänen Hannele , van der Merwe Daleen , Bosman Magdalena 
Published: June 2020

PurposeThe aim of this study is to explore the contextual influences of packaging design and its cues on respondents' preferences.Design/methodology/approachTo explore the contextuality of packaging cues, a multi-attribute valuation technique, conjoint analysis was used for two types of pharmaceutical products (painkiller and sore throat medicine) across seven countries. Data were collected among respondents (N = 461) from Finland, Ghana, Mongolia, Nigeria, Portuguese, South Africa and the USA.FindingsSimilarities and dissimilarities were observed between the product types and countries analysed in terms of the impact of packaging cues. The findings demonstrate the global and local nature of brand cues expressed in retail packaging.Practical implicationsThe study implies that some cues may serve global markets, while some cues may need to be localised in order to meet the needs of local markets. Understanding these cues and their influences on consumers' brand preferences and choices at the point-of-purchases may enable companies to enter new markets, help them create sustainable and credible global brands.Originality/valueThe study contributes to the existing retail packaging literature and pharmaceutical branding literature by providing empirical evidence of the multidimensional aspects of sensory packaging cues. Second, it contributes by showing the contextual nature of retail packaging and its associated cues for OTC pharmaceuticals.
Managing technology innovation paradoxes through multi-level ambidexterity capabilities
Authors: Ouyang Taohua , Cao Xin , Wang Jun , Zhang Sixuan 
Published: June 2020

PurposeIn this study, the authors aim to address the following two research questions: (1) How do technology innovation paradoxes manifest themselves in technological changes? (2) How do incumbent firms manage technology innovation paradoxes through multi-level organizational ambidexterity? To do so, the authors examine technology innovation in cloud computing, which has taken shape and brought about changes to the information technology industry. Specifically, the authors examine how a traditional software company, China Standard Software Co., Ltd. (CS2C), successfully navigated the technological transition to cloud computing from its existing operating systems business by managing innovation paradoxes through multi-level ambidexterity capabilities.Design/methodology/approachThis study examines a single exploratory case and conducts an in-depth analysis of how technology innovation paradoxes manifest themselves in technological changes and how incumbent firms manage technology innovation paradoxes through multi-level organizational ambidexterity. The data collection and analysis occurred simultaneously through three phases. In Phase 1, one of the authors who had worked at CS2C for many years enabled the authors to obtain access to the company. The data analysis during this phase provided the authors with the history and current situation of CS2C, enabling them to understand the external circumstances, such as particular historical period, and internal conditions, such as cultural and technological changes, that would be relevant throughout the course of their study. It also helped the authors identify organizational ambidexterity capability as the guiding theoretical concept for their research. In Phase 2, the authors engaged in site visits and conducted detailed interviews with employees working at CS2C. In Phase 3, most of the data analysis was conducted. When the interview data were not sufficient to support the theoretical analysis, additional data were collected via phone calls and emails, to assure data-theory-model alignment.FindingsThe authors’ findings show that technology innovation paradoxes manifest themselves as contradictory relationships and mutual support relationships between exploitative and exploratory innovation. In addition, the authors identify three integration mechanisms as key to multi-level organizational ambidexterity capabilities in managing technology innovation paradoxes in technological changes.Originality/valueThree important theoretical implications can be drawn from our case analysis. First, this research contributes to the knowledge of innovation paradoxes during technological changes. Second, this research provides a model of multi-level organizational ambidexterity capability in technological changes. Third, this research proposes three integration mechanisms driven by three types of ambidexterity capability at different organizational levels.
Related party transactions and earnings management in Jordan: the role of ownership structure
Authors: Alhadab Mohammad , Abdullatif Modar , Mansour Israa 
Published: June 2020

Purpose
The purpose of this study is to examine the relation between related party transactions and both accrual and real earnings management practices in Jordanian industrial public-listed companies, taking into account the uniqueness of the Jordanian company ownership structure.

Design/methodology/approach
Data were collected from Jordanian industrial public-listed companies for the period 2011–2017. Accrual earnings management is measured by using the modified Jones model, whereas real earnings management and related party transactions are measured by using relevant proxies. A regression model is developed and used to assess the relation between related party transactions and earnings management, taking into account the effects of ownership concentration, family ownership and institutional ownership levels of the companies involved.

Findings
Accrual earnings management is negatively associated with related party transactions. Regarding the role of ownership structure, the presence of institutional investors is positively associated with using both related party transactions and real earnings management, whereas ownership concentration plays an efficient role to mitigate the use of both accrual earnings management and related party transactions. No statistically significant relations between real earnings management and related party transactions exist.

Practical implications
This study has direct practical implications for the Jordanian regulatory authorities to enact regulations to limit the misuse of related party transactions and earnings management transactions and ensure sufficient monitoring of these transactions because of their prevalence. Jordanian companies should also enhance their corporate governance systems to better approve and monitor such transactions, including enhancing the role of independent and non-controlling board members in this process.

Originality/value
Related party transactions are considered as a major concern of financial reporting quality in developed countries, and such transactions are found to be relatively more problematic in developing countries, where corporate governance is generally weak, and there is limited disclosure and transparency in financial reporting. From this perspective, this study is one of the very few studies in developing countries that explore the issue of related party transactions and their association with earnings management practices. Thus, the findings of this study can arguably be to some extent generalized to other developing country contexts, because of relatively similar business environment conditions, and therefore potentially fill a gap represented by the paucity of similar studies in developing countries.
How do we understand “meaningful use” of the internet? Of divides, skills and socio-technical awareness
Authors: Hosman Laura , Pérez Comisso Martin Andrés 
Published: June 2020

PurposeInformation and communications technologies (ICTs) have transformed the lives of many people around the world, yet billions remain unconnected. While many initiatives attempt to “connect the unconnected,” initiatives focused on access and skills-development alone will still fall short. Based on the authors’ experience with the SolarSPELL initiative, this study aims to propose using the concept of socio-technical awareness as a step forward in conceptualizing a more accurate picture of capabilities necessary to enable people to make meaningful use of the internet.Design/methodology/approachThis paper uses an integrative literature review for the ideas related to the digital divide, digital inclusion and digital literacies, as well as the applied work of the authors in the SolarSPELL initiative, to develop the concept of socio-technical awareness, which is presented as a method for understanding empowered, meaningful internet use.FindingsThe argument is made that access, skills- and literacy-development are necessary but insufficient conditions for meaningful ICTs use. Accordingly, a third concept, socio-technical awareness, is introduced, and the case is made for including this concept in both application and measurement of meaningful use of ICTs.Practical implicationsThe design of digital inclusion initiatives should focus on increasing socio-technical awareness to empower users to make meaningful use of digital technologies.Originality/valueTaking a step further than most assessments of the digital divide or digital inclusion, this study proposes that to achieve meaningful internet use, people need access, requisite skills development and socio-technical awareness, to be able to make informed, empowered decisions about ICT use.
Does knowledge management enhance or impede innovation speed?
Authors: Zhang Haili , Zhang Xiaotang , Song Michael 
Published: June 2020

PurposeThe purpose of this study is to develop a theoretical model for examining how innovation speed mediates the relationship between knowledge management (KM) and performance and empirically tests the proposed model using data collected in the USA and China over three years.Design/methodology/approachTo avoid common method bias and increase ability to draw causal effects of KM on performance, data were collected over three years. KM data were collected by survey; innovation speed data were collected in the following year; and sales growth and gross margin data were collected over the next three years. After merging the three data sets, the final empirical data used for this study contained data from 354 USA and 647 Chinese firms. Multiple regression analyses were used to test the research hypotheses. Sobel mediation tests were performed to test the mediating effects of innovation speed on the relationship between KM and performance.FindingsInnovation speed has a U-shaped relationship with performance in both US and Chinese firms. Knowledge generation has an inverted U-shaped relationship with innovation speed in both US and Chinese firms. Knowledge dissemination increases innovation speed in US firms but not in Chinese firms. While knowledge application increases innovation speed in the US firms, it decreases innovation speed in Chinese firms.Originality/valueThis study is among the first to propose and empirically test the KM-innovation speed-performance relationship. This paper advances the KM literature by demonstrating that there is an inverted U-shaped relationship between knowledge generation and innovation speed and that there is a U-shaped relationship between innovation speed and performance. In addition, this study contributed to the cross-national study of KM.