bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kap-β2/Transportin mediates β-catenin nuclear transport in Wnt signaling
Authors: Hwang Woong Y. , Kostiuk Valentyna , González Delfina P. , Lusk C. Patrick , Khokha Mustafa K. 
Published: May 2021

SUMMARYWnt signaling is essential for many aspects of embryonic development including the formation of the primary embryonic axis. In addition, excessive Wnt signaling drives multiple diseases including cancer highlighting its importance for disease pathogenesis. β-catenin is a key effector in this pathway that translocates into the nucleus and activates Wnt responsive genes. However, due to our lack of understanding of β-catenin nuclear transport, therapeutic modulation of Wnt signaling has been challenging. Here, we took an unconventional approach to address this long-standing question by exploiting a heterologous model system, the budding yeast Saccharomyces cerevisiae, which contains a conserved nuclear transport machinery. In contrast to prior work, we demonstrate that β-catenin accumulates in the nucleus in a Ran dependent manner, suggesting the use of a nuclear transport receptor (NTR). Indeed, a systematic and conditional inhibition of NTRs revealed that only Kap104, the orthologue of Kap-β2/Transportin-1 (TNPO1), was required for β-catenin nuclear import. We further demonstrate direct binding between TNPO1 and β-catenin that is mediated by a conserved amino acid sequence that resembles a PY NLS. Finally, using Xenopus secondary axis and TCF/LEF reporter assays, we demonstrate that our results in yeast can be directly translated to vertebrates. By elucidating the NLS in β-catenin and its cognate NTR, our study provides new therapeutic targets for a host of human diseases caused by excessive Wnt signaling. Indeed, we demonstrate that a small chimeric peptide designed to target TNPO1 can reduce Wnt signaling as a first step towards therapeutics.
A single heterozygous mutation in COG4 disrupts zebrafish early development via Wnt signaling
Authors: Xia Zhi-Jie , Zeng Xin-Xin I. , Tambe Mitali , Ng Bobby G. , Dong P. Duc S. , Freeze Hudson H. 
Published: May 2021

AbstractSaul-Wilson syndrome (SWS) is a rare, skeletal dysplasia with progeroid appearance and primordial dwarfism. It is caused by a heterozygous, dominant variant (p.G516R) in COG4, a subunit of the Conserved Oligomeric Golgi (COG) complex involved in intracellular vesicular transport. Our previous work has shown the intracellular disturbances caused by this mutation; however, the pathological mechanism of SWS needs further investigation. We sought to understand the molecular mechanism of specific aspects of the SWS phenotype by analyzing SWS-derived fibroblasts and zebrafish embryos expressing this dominant variant. SWS fibroblasts accumulate glypicans, a group of heparan sulfate proteoglycans (HSPGs) critical for growth and bone development through multiple signaling pathways. Consistently, we find that glypicans are increased in embryos expressing the COG4p.G516R variant. These animals show phenotypes consistent with convergent extension (CE) defects during gastrulation, shortened body length, and malformed jaw cartilage chondrocyte intercalation at larval stages. Since non-canonical Wnt signaling was shown in zebrafish to be related to the regulation of these processes by Glypican 4, we assessed wnt levels and found a selective increase of wnt4 transcripts in the presence of COG4p.G516R. Moreover, overexpression of wnt4 mRNA phenocopies these developmental defects. LGK974, an inhibitor of Wnt signaling corrects the shortened body length at low concentrations but amplifies it at slightly higher concentrations. WNT4 and the non-canonical Wnt signaling component phospho-JNK are also elevated in cultured SWS-derived fibroblasts. Similar results from SWS cell lines and zebrafish point to altered non-canonical Wnt signaling as one possible mechanism underlying SWS pathology.
The experiences of fathers who have a child with autism spectrum disorder: from birth to adulthood
Authors: Dewey Katherine , Hodgkinson Melanie 
Published: May 2021

Purpose
The purpose of this study is to explore fathers’ experiences of raising a child with autism spectrum disorder (ASD), taking into consideration how this experience fluctuates as their child develops from infancy to adulthood.

Design/methodology/approach
Semi-structured interviews were used to investigate the experiences of fathers who have a young adult with ASD. Seven fathers participated in this study. Data was analysed using thematic analysis.

Findings
Four themes were identified, these were: ubiquitous impact, divergent support, impeding factors and facilitating factors.

Practical implications
Findings from this study highlighted the pervasive impacts of having a child with ASD. This study highlighted the need to educate health-care professionals, the general public and prospective fathers. Creating “dads groups” could help to direct fathers towards other people who understand their situation. Finally, trialling methods to accelerate fathers’ acceptance, such as acceptance and commitment therapy (ACT), could help to reduce psychological stress.

Originality/value
To date, most research largely focusses on mothers’ experiences, as mothers are typically seen as the primary caregiver. Previous research also tends to focus on the earlier years of life. This research addresses the often-overlooked topic of fathers’ experiences, investigating their experience of having a child with ASD from birth through to adulthood.
Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0
Authors: Rane Santosh B. , Narvel Yahya Abdul Majid 
Published: May 2021

Purpose
Blockchain and Internet of Things (IoT) technologies have recently gained much attention for Industry 4.0. With the emergence of disruptive technologies, it has become essential to redesign the business for innovations based on blockchain–IoT integrated architecture that helps organizations to improve agility in their operations. The paper aims to discuss this issue.

Design/methodology/approach
An industrial pump was Sensorized and IoTized to monitor its operations on real time and take predictive measures for managing these assets with more agility. The developed architecture was further extended for proposing the use of blockchain and how it can benefit the organization.

Findings
The known features of blockchain such as increasing the capacity of decentralization, trust-less transactions, security and allowing autonomous coordination of the devices along with the boons of IoT will help achieve the motto of improving agility in Industry 4.0.

Originality/value
This paper gives a new dimension to utilization of blockchain technology. blockchain along with IoT that gives a way forward for industries like manufacturing, oil and gas, engineering and construction, utilities, etc. to re-designing the business organization in a more agile way.
How does investor sentiment impact stock volatility? New evidence from Shanghai A-shares market
Authors: Xie Dejun , Cui Yu , Liu Yujian 
Published: May 2021

PurposeThe focus of the current research is to examine whether mixed-frequency investor sentiment affects stock volatility in the China A-shares stock market.Design/methodology/approachMixed-frequency sampling models are employed to find the relationship between stock market volatility and mixed-frequency investor sentiment. Principal analysis and MIDAS-GARCH model are used to calibrate the impact of investor sentiment on the large-horizon components of volatility of Shanghai composite stocks.FindingsThe results show that the volatility in Chinese stock market is positively influenced by B–W investor sentiment index, when the sentiment index encompasses weighted mixed frequencies with different horizons. In particular, the impact of mixed-frequency investor sentiment is most significantly on the large-horizon components of volatility. Moreover, it is demonstrated that mixed-frequency sampling model has better explanatory powers than exogenous regression models when accounting for the relationship between investor sentiment and stock volatility.Practical implicationsGiven the various unique features of Chinese stock market and its importance as the major representative of world emerging markets, the findings of the current paper are of particularly scholarly and practical significance by shedding lights to the applicableness GARCH-MIDAS in the focused frontiers.Originality/valueA more accurate and insightful understanding of volatility has always been one of the core scholarly pursuits since the influential structural time series modeling of Engle (1982) and the seminal work of Engle and Rangel (2008) attempting to accommodate macroeconomic factors into volatility models. However, the studies in this regard are so far relatively scarce with mixed conclusions. The current study fills such gaps with improved MIDAS-GARCH approach and new evidence from Shanghai A-share market.
Mixed EHL numerical analysis and leakage experiment of skeleton reciprocating oil seal
Authors: Yang Hua-Lin , Li Xiulong , Sun Weiwei , Deng Fang , Du Jie 
Published: May 2021

Purpose
This paper aims to present the mixed elastohydrodynamic lubrication (EHL) model and obtain the leakage characteristics for the skeleton reciprocating oil seal.

Design/methodology/approach
The model consists of a finite element analysis of the contact pressure, a fluid mechanics analysis of the fluid film, a contact analysis of the asperity contact pressure, a deformation analysis of the seal lip and an iterative numerical simulation process.

Findings
Simulation results show that the leakage is in direct proportion to the seal roughness and speed, and in inverse proportion to the fluid viscosity. Comparisons with the experimental results verify the validity of the mixed EHL model.

Originality/value
This study provides a helpful method to calculate the leakage of the skeleton reciprocating oil seal, which shortens its development cycles.
Design and fabrication of an online inductive sensor for identification of ferrous wear particles in engine oil
Authors: Talebi Abolfazl , Hosseini Seyed Vahid , Parvaz Hadi , Heidari Mehdi 
Published: May 2021

Purpose
The presence of ferrous wear debris in lubricating oil may cause progressive damage in the internal combustion engines. Online monitoring of the size and concentration of these particles in the oil is a way to optimize the engine performance and its life cycle.

Design/methodology/approach
In this study, an online sensor was designed and fabricated to identify ferrous wear particles in the engine oil based on the induction method. The diameter of the sensor outlet duct was designed as small as possible to generate a high-intensity magnetic induction and achieve a proper sensitivity in the sensor. The experiments were designed and performed in offline mode. Furthermore, to evaluate the actual performance of the sensor in presence of iron particles in the oil, online tests were performed at different sizes and concentrations.

Findings
It was concluded from offline tests that the highest sensitivity of the sensor occurs at the frequency and voltage of 2.5 kHz and 120 V, respectively. According to the results of the online tests, the larger the particle size, the higher the peaks at the sensor output. Also, a high density of the peaks was observed in the sensor output graphs as the concentration of particles was increased.

Originality/value
The proposed sensor was able to identify ferrous wear particles larger than 125 µm separately, which is the failure limit in the internal combustion engines.
Normal fractal contact stiffness model among three disks of rod-fastening rotor system with considering friction and the asperities interaction
Authors: Wang Nanshan , Liu Heng , Liu Yi 
Published: May 2021

Purpose
The purpose of this study is to develop a normal contact stiffness (NCS) model among three disks of the assembled rotor system, which systematically considers the friction coefficient, the asperities interaction and the elastoplastic contact regime.

Design/methodology/approach
Based on the revised fractal theory, considering the friction effect, the elastoplastic contact regime and the asperities interaction in a simple way, the total NCS among three disks of the rod-fastening rotor bearing system is established. Effects of fractal dimension and roughness, friction coefficient, asperities interaction and material properties on the normal stiffness are investigated by simulations and the relevant comparisons are given for examining the reasonability of the proposed model.

Findings
NCS will decrease when asperities interaction and friction are included. As the load increases, the influences of asperities interaction and friction on stiffness become serious. NCS will be enhanced when the elastoplastic regime is considered.

Originality/value
A comprehensive NCS model is developed. It provides a theoretical basis for the modeling of the NCS for multi-interfaces.
Does disease outbreak news impact equity, commodity and foreign exchange market? Investors' fear of the pandemic COVID-19
Authors: Shaikh Imlak , Huynh Toan Luu Duc 
Published: May 2021

PurposeMarket volatility is subject to good or bad news and even responses to fake news and policy changes. In this piece of work, the authors consider the effects of the recent COVID-19 pandemic event on the global equity market, commodities and FX market, measured in terms of the investors' fear index.Design/methodology/approachIn this empirical work, the authors employ time series-based regression models followed by augmented dummy regressions and growth of the COVID-19.FindingsCOVID-19-induced investors' fear appears to be higher in the equity segment for the first time since the market crash of 1987 and the global financial crisis of 2008–2009. Furthermore, this disease outbreak shock has been more pronounced in terms of crude oil prices. Besides, a market participant in the commodity and FX market has paid a disproportionate premium to protect such pandemic development. Findings show that Options act as the best hedge against an uncertainty like COVID-19 and that option-based implied volatility is the best measure of investors' fear and market volatility.Practical implicationsThis study has practical implications for the financial markets, e.g. (1) Contagious disease outbreak news matters for the equity, commodity, and foreign exchange markets – empirical outcome validates the theory of market efficiency valid for the Options. (2) Option's implied volatility is the best indicator of investor fear measured for the unprecedented economic news. Further implication holds for the policymakers and society, e.g. (1) The unavailability of short-selling could be one plausible reason for increased uncertainty and volatility; hence, policymakers should look upon this issue at the exchange level. (2) Any market needs multiple lines of risk management, effective price discovery and attractive liquidity.Originality/valueThe study is novel in terms of presenting market behavior amid COVID-19 across global equity markets and commodities and FX markets.
Abusive supervision and the knowledge worker productivity: the mediating role of knowledge management processes
Authors: Ahmed Quba , Sumbal Muhammad Saleem , Akhtar Muhammad Naseer , Tariq Hussain 
Published: May 2021

PurposeDrawing upon the theoretical underpinning of knowledge worker productivity, this study aims to examine the relationship between abusive supervision and knowledge management (KM) process (creation, application and sharing of knowledge) and its impact on the knowledge worker productivity in knowledge-intensive organizations.Design/methodology/approachHypothesis were tested through PROCESS Macro in IBM SPSS v.26 on a sample of 204 employees working in banking sector of Pakistan. Confirmatory factor analysis was conducted to test the model fitness through AMOS v. 26.FindingsThe results showed that the relationship between abusive supervision and KM process (creation, application and sharing of knowledge) is negative and highly significant, i.e. greater the abusive supervision in the banking sector, the lower is the engagement in KM processes. Furthermore, there is a positive and highly significant relationship between the KM process and knowledge worker productivity. Finally, the study indicates the negative impact of abusive supervision on the knowledge worker productivity through the mediating mechanism of knowledge management processes.Research limitations/implicationsA key limitation is that the study is cross-sectional, and the findings may only be generalizable to developing countries context.Originality/valuePrevious studies have focused on supervisor–employee relationship but not in the context of knowledge worker productivity. This article fulfills this gap through understanding the impact of abusive supervision on the knowledge worker productivity in relation to KM processes (knowledge creation, sharing and application) by drawing upon the theoretical underpinning of knowledge worker productivity.
Putting knowledge to work: the combined role of marketing and sales employees’ knowledge and motivation to produce superior customer experiences
Authors: Peñalba-Aguirrezabalaga Carmela , Sáenz Josune , Ritala Paavo , Vanhala Mika 
Published: May 2021

Purpose
This paper aims to adopt a contextual approach to the knowledge-performance linkage by deepening into the role of marketing and sales employees’ knowledge resources in the generation and delivery of superior customer experiences (CEs) and into the motivational antecedents of knowledge acquisition and development.

Design/methodology/approach
To gather information about the variables studied in this research, a survey was conducted among Spanish firms with at least 100 employees, resulting in a representative sample of 346 companies. Structural equation modeling based on partial least squares was then applied to test the hypothesized relationships.

Findings
The results show that employees’ motivation (and especially intrinsic motivation) affects CE both directly and indirectly through its influence on marketing-specific human capital. More precisely, customer knowledge and different types of marketing-related skills (creativity, targeting, problem-solving, social media management and communication skills) are the only constituents of marketing-specific human capital that significantly affect relative CE performance (i.e. performance vis-à-vis competitors), while product/service and market knowledge do not play a relevant role.

Originality/value
The results contribute both to the knowledge management and intellectual capital literatures by highlighting the motivational levers of human capital in the context of the marketing and sales function and the specific types of employee knowledge resources that induce superior CEs. Consequently, marketing and sales managers are provided with useful guidance to shape their human resource management policies and to establish their knowledge priorities.
Exploring social networking sites and problem-based learning in healthcare education in Taiwan: a difference analysis
Authors: Wang Wei-Tsong , Lin Ying-Lien 
Published: May 2021

PurposeThis study aimed to examine whether the use of wiki-systems in healthcare internship courses that adopt a problem-based learning approach may have significant influences on the relationships among students' relationship commitment, knowledge-sharing behavior and perceived problem-based learning performance in the context of higher education.Design/methodology/approachThis study adopted a quasi-experimental approach. Cross-sectional survey data collected from 187 undergraduate students in Taiwan were used for the data analysis procedures. The students in the experimental group used wiki-systems and a set of information and communication technologies as learning tools, while the students in the control group used the same set of information and communication technologies only. The statistical techniques of independent t-tests and component-based structural equation modeling were adopted to examine the research hypotheses.FindingsThe results reveal significant differences between the experimental and control groups concerning relationship commitment, knowledge-sharing behavior, independent study and active participation. However, there was no significant difference between the two groups regarding group interaction and reasoning skills. Additionally, all the hypotheses regarding the relationships among constructs were supported.Originality/valueWiki-systems have unique features that can enhance the effectiveness of problem-based learning activities. This study is among the first to investigate how wiki-systems may affect the effectiveness of problem-based learning processes by investigating the relationships among healthcare students' relationship commitment, knowledge-sharing behavior and perceived problem-based learning performance. The results of this study can advance the current understanding of the effectiveness of wiki-based problem-based learning in the context of healthcare education.
The curvilinear effect of top management team task-related demographic faultlines on over-investment
Authors: Xie Qing , Li Wuwei , Zhang Yuanyuan 
Published: May 2021

PurposeThis study empirically examines the curvilinear relationship between top management team task-related demographic faultlines and over-investment, as well as how biodemographic faultlines and industrial environment moderate the curvilinear relationship between task-related demographic faultlines and over-investment.Design/methodology/approachThe study designs the panel data from the listed companies of China's growth enterprises board (GEB) (set up by Shenzhen Stock Exchange in 2009) in the period 2011–2016 and uses hierarchical regression analysis and grouping regression analysis in exploring the curvilinear relationship with the variables involved.FindingsThe study provides empirical insights into the relationship on top management team (TMT) task-related demographic faultlines and over-investment, as well as how biodemographic faultlines and industrial environment moderate the relationship between task-related demographic faultlines and over-investment. It suggests that the relationship between task-related demographic faultlines and over-investment is significantly inverted-U. Furthermore, biodemographic faultlines and industrial environment can strengthen the inverted-U relationship between TMT task-related demographic faultlines and over-investment.Research limitations/implicationsThe study investigates the influence of task-related demographic faultlines on firm over-investment. The sample is restricted to the listed companies on GEM in China and limited in size. It is also not concerned with the cross-culture contrastive analysis between the Chinese- and Western-listed companies.Practical implicationsThe findings suggest that strong/weak TMT task-related demographic faultlines is beneficial in promoting rational investment, but medium TMT task-related demographic faultlines may lead to over-investment.Originality/valueThe study within the crossed-categorization theory, the study provides a contemporary research path by moderating biodemographic faultlines and industrial environments to explain the long-ignored impact of TMT faultlines within a new perspective of firm investment efficiency with a recent significant sample of new emerging countries (e.g. China).