bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cryo-EM reconstructions of inhibitor-bound SMG1 kinase reveal an autoinhibitory state dependent on SMG8
Authors: Langer Lukas M. , Bonneau Fabien , Gat Yair , Conti Elena 
Published: July 2021

AbstractThe PI3K-related kinase (PIKK) SMG1 monitors progression of metazoan nonsense-mediated mRNA decay (NMD) by phosphorylating the RNA helicase UPF1. Previous work has shown that the activity of SMG1 is impaired by small molecule inhibitors, is reduced by the SMG1 interactors SMG8 and SMG9, and is downregulated by the so-called SMG1 insertion domain. However, the molecular basis for this complex regulatory network has remained elusive. Here, we present cryo-electron microscopy reconstructions of human SMG1-9 and SMG1-8-9 complexes bound to either a SMG1 inhibitor or a non-hydrolyzable ATP analogue at overall resolutions ranging from 2.8 to 3.6 Å. These structures reveal the basis with which a small molecule inhibitor preferentially targets SMG1 over other PIKKs. By comparison with our previously reported substrate-bound structure (Langer et al. 2020), we show that the SMG1 insertion domain can exert an autoinhibitory function by directly blocking the substrate binding path as well as overall access to the SMG1 kinase active site. Together with biochemical analysis, our data indicate that SMG1 autoinhibition is stabilized by the presence of SMG8. Our results explain the specific inhibition of SMG1 by an ATP-competitive small molecule, provide insights into regulation of its kinase activity within the NMD pathway, and expand the understanding of PIKK regulatory mechanisms in general.
Ifenprodil Intracerebrally Offers Neuroprotection against 6-OHDA-Induced Toxicity in SD-Rats via Enhancing Autophagy Function
Authors: Zhao Xinyu , Tian Fugang , Guo Chunmin , Yu Xin 
Published: July 2021

AbstractThe progressive decline of dopamine neurons in the substantia nigra is the main pathogenic change in Parkinson’s disease (PD). Studies have found that excessive excitement of glutamatergic neurons causes intracellular calcium overload and induces autophagy impairment, which is one of the main mechanisms of dopamine neuron damage. The neuroprotective effect of Ifenprodil against 6-OHDA-injured mice was studied in this study. Ifenprodil was administered intraperitoneally (i.p.) or intracerebrally to rats who had a nigral-striatum pathway lesioned by 6-OHDA stereotactic brain injection. The ability to move was evaluated. The survival of dopamine neurons in the nigral was determined using HE staining, while TH-positive expression was measured using immunohistochemistry. Western Blot was used to examine the expression of CaM protein and light chain 3 (LC3), Beclin-1, BNIP3LNix, and p62. The results revealed that Ifenprodil improves motor function in 6-OHDA rats, and intracerebral injection is more effective than systemic administration. The same results also found in HE and IHC. Ifenprodil enhanced LC3II, BNIP3LNix, and Beclin-1 while decreasing p62, p-CaMKII, and β-Ca expression. In addition, Ifenprodil reduced the activation of microglia caused by 6-OHDA. Overall, the findings imply that Ifenprodil intracerebrally may protect against Parkinson’s disease via modulating autophagy-related proteins during 6-OHDA-induced toxicity.
Organisational change capacity and performance: the moderating effect of coercive pressure
Authors: Sukoco Badri Munir , Supriharyanti Elisabeth , Sabar  , Susanto Ely , Nasution Reza Ashari , Daryanto Arief 
Published: July 2021

PurposeTo examine three dimensions of organisational change capacity (OCC) which have been proposed sequentially in the following order: OCC for change will affect process capacity for change and develop context capacity for change. Specifically, this study explores the moderating effects of coercive pressure.Design/methodology/approachTo test the proposed hypotheses, this study conducted survey among middle-level leaders of the 11 top universities (autonomous higher education institutions – AHEIs) in Indonesia. This study used a sample of 92 respondents, deans 21 and vice deans 71 of 11 top Indonesian universities. To test data processing using the SmartPLS 3.0 tool.FindingsThe findings indicate that learning capacity for change is the starting point of OCC, and it influences process capacity and context capacity for change. Coercive pressure strengthens the relationship between learning capacity and context capacity for change. Further, context capacity for change determines organisational performance.Originality/valueThis study empirically examines the OCC construction mechanism as follows: learning capacity for change influences process capacity for change and then has an effect on the OCC for change, which ultimately affects organisational performance.
The impact of changes in regulations on Malaysian IPOs
Authors: Mohd-Rashid Rasidah , Tajuddin Ahmad Hakimi , Khaw Karren Lee-Hwei , Ong Chui Zi 
Published: July 2021

Purpose
This study aims to examine the changes in equity guidelines and initial returns in the Malaysian initial public offering (IPO) market.

Design/methodology/approach
The study uses cross-sectional data over 16 years from 2000 to 2016. It uses ordinary least squares for the baseline model and incorporates an interaction term, quantile regression, quadratic term, break test and logit regression model for further analysis.

Findings
The results support the propositions that lockup provisions signal commitment and demand increase initial returns. The revision in the Bumiputera equity requirement means that issuers no longer need to discount offer prices to entice investors. Finally, the revised Sharīʿah-compliance screening requirement ensures that stocks are better in quality and more transparent, leading to a higher demand that drives prices upwards.

Research limitations/implications
This study’s findings provide insights into how issuers can secure good subscriptions. Besides, policymakers should ensure that firms disclose the required information in their prospectuses.

Originality/value
This study adds to the body of knowledge on whether and how the regulatory requirements affect IPO initial returns.
Chinese consumer preference for processed food quality attributes and the impact of trust in information sources
Authors: Wang Erpeng , Gao Zhifeng , Chen Xuqi 
Published: July 2021

PurposeThe purpose of this paper is to determine important attributes of processed food, consumers’ trust in different information resources, and the impact of trust, demographic and behavior variables on the preference of processed food attributes among Chinese consumers.Design/methodology/approachData of 1,267 participants were collected from four cities in China. A five-point Likert scale was used to measure consumer preference for 12 juice attributes. Consumer trust in nine sources of information on product quality was measured. Cluster analysis was used to segment consumers into groups based on their preference for juice attributes and trust in information sources, respectively. A multinomial logistic model was used to determine the impact of trust, demographic and behavior variables on the preference of juice attributes.FindingsConsumers rate manufacture date, taste and food safety labels as the most important attributes of fruit juice products. Among different information sources, consumers place more trust in private information sources and traditional media. The low trust in different information sources impedes consumer preference for processed food quality attributes.Originality/valueThis research is among the few that examine consumer preference for processed food, such as juice. It identifies four distinct preference groups and trust groups, respectively, based on consumer preference for juice attributes and trust in different information sources. This paper provides important information for processed food companies and policymakers to effectively enact marketing strategies in China.
Value or image? The effects of restaurant–supplier co-creation on consumers' behavioral intentions
Authors: Lyu Venessa Chan , Roldán José Luis , Chin Wynne , Liu Vincent , Li Congdong 
Published: July 2021

PurposeHighlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and image.Design/methodology/approachThis study developed and tested a model through a survey with 365 responses, which was carried out in China. The measurement and effects of restaurant–supplier co-creation are explored using composite-based structural equation modeling.FindingsThe results show that restaurant–supplier co-creation has a positive effect on perceptions of food value, service value and image. Though restaurant–supplier co-creation does not directly affect behavioral intention, it can enhance behavioral intention by improving customers' impressions.Originality/valueThis study contributes to the emerging literature by conceptualizing the role of restaurant–supplier co-creation. The research combines image theory and perceived value theory in one empirical model to explore the effects of co-creation. The project provides a paradigm for designing technical artifacts using composite-based structural equation modeling.
The dynamics of Indian energy mix: a two-phase analysis
Authors: Jha Amit Prakash , Singh Sanjay Kumar 
Published: July 2021

PurposeThe Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.Design/methodology/approachThe authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.FindingsEfficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.Originality/valueThe study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.
Managerial ability and real earnings management in family firms
Authors: Putra Adhitya Agri , Mela Nanda Fito , Putra Ferdy 
Published: July 2021

PurposeThis study aims to examine the effect of managerial ability on real earnings management (hereafter REM) in family firms.Design/methodology/approachThe sample consists of 864 firms-years listed in the Indonesian Stock Exchange. REM is measured by abnormal activities. Managerial ability is measured by data envelopment analysis. Data analysis uses random-effect regression analysis.FindingsFamily firms reduce the possibility of higher ability managers to engage in REM. Compare to non-family firms, higher ability managers in family firms are more likely to engage in REM to improve future earnings.Research limitations/implicationsThis research only uses efficiency score data envelopment analysis to measure managerial ability while the managerial ability is, by nature, multi-dimensional and unobservable. This research also does not find the role of professional Chief Executive Officer (hereafter CEO) in the family firms in REM behavior because does not consider the professional CEO motivation (e.g. compensation structure).Practical implicationsThis research is expected to help family firms formulate managers' selection based on managerial ability. This research also is expected to help investors and creditors to put their funds in the family firms with higher ability managers that reduce earnings information distortion.Originality/valueTo the best of the author’s knowledge, this research is the first research that examines the managerial ability on REM in Indonesian family firms. This research also contributes to fil the findings gap in managerial ability and REM.
Leading learning and innovation in organizations: a distributed leadership perspective
Authors: Tandon Ankita 
Published: July 2021

Purpose
This paper explores the role of distributed leadership for learning and innovation in organizations. Learning and innovation being collective interactive processes, individual leadership is not the most effective way to drive them. This paper discusses how developing a distributed approach to leadership can be useful in enhancing the effectiveness of these processes, particularly in the current context of dispersed and remote working spurred by the pandemic.

Design/methodology/approach
This paper draws on literature from the domains of leadership and learning to discuss how effectiveness of learning and innovation can be enhanced through the application of appropriate leadership models.

Findings
This paper brings out the importance of developing a distributed leadership approach to enhance learning and innovation in organizations. It provides actionable suggestions that can be used by organizations to develop shared leadership capabilities.

Originality/value
Moving away from traditional leadership models, this paper highlights the significant role that distributed leadership can play to enhance the effectiveness of collective processes such as learning and innovation. The approach is even more relevant in the current pandemic context where organizations are operating in a distributed setup with flexible work from home arrangements. Learning and innovation in such virtual, asynchronous work arrangements is a challenge. Development of distributed leadership mindset and approach can enable organizations to operate more effectively in the new normal.
Data set entity recognition based on distant supervision
Authors: Li Pengcheng , Liu Qikai , Cheng Qikai , Lu Wei 
Published: July 2021

Purpose
This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised learning-based approach is proposed to identify data set entities automatically from large-scale scientific literature in an open domain.

Design/methodology/approach
Firstly, the authors use a dictionary combined with a bootstrapping strategy to create a labelled corpus to apply supervised learning. Secondly, a bidirectional encoder representation from transformers (BERT)-based neural model was applied to identify data set entities in the scientific literature automatically. Finally, two data augmentation techniques, entity replacement and entity masking, were introduced to enhance the model generalisability and improve the recognition of data set entities.

Findings
In the absence of training data, the proposed method can effectively identify data set entities in large-scale scientific papers. The BERT-based vectorised representation and data augmentation techniques enable significant improvements in the generality and robustness of named entity recognition models, especially in long-tailed data set entity recognition.

Originality/value
This paper provides a practical research method for automatically recognising data set entities in scientific literature. To the best of the authors’ knowledge, this is the first attempt to apply distant learning to the study of data set entity recognition. The authors introduce a robust vectorised representation and two data augmentation strategies (entity replacement and entity masking) to address the problem inherent in distant supervised learning methods, which the existing research has mostly ignored. The experimental results demonstrate that our approach effectively improves the recognition of data set entities, especially long-tailed data set entities.
Investigation of college student smoking perceptions, behaviors and communication about smoking with smoking friends and family
Authors: Shin YoungJu , Lu Yu 
Published: July 2021

PurposeCommunication plays an important role in health decisions and behaviors. Friends and family exert influence through communication and, when considering smoking, this is particularly salient among those friends and family who smoke. Guided by primary socialization theory and integrated behavioral model, the present study examined the effects of having smoking friends and family on smoking beliefs (e.g. negative consequences, positive reinforcement and negative reinforcement), cultural normative beliefs, pro-smoking injunctive norms, smoking intentions and recent smoking behaviors.Design/methodology/approachCross-sectional online survey data were collected from college students (N = 227). Multivariate analysis of covariance and path analysis were performed.FindingsCollege students who reported having smoking friends were more likely to report higher levels of positive reinforcement, cultural normative beliefs, pro-smoking injunctive norms, positive attitudes, smoking intentions and recent smoking behaviors than those without smoking friends. Frequent communication with smoking friends was significantly related to cultural normative beliefs, pro-smoking injunctive norms, positive attitudes and smoking intentions. The analysis, however, did not yield statistical support for the associations between frequent communication with smoking family and smoking perceptions, norms and behaviors.Originality/valueThe present study highlights the vital roles of friends' influence for college students' smoking behaviors. Communication-based intervention can help better equip college students with communication strategies that prevent tobacco use by promoting more effective conversations with friends.
Magnetohydrodynamic mixed bioconvection of oxytactic microorganisms in a nanofluid-saturated porous cavity heated with a bell-shaped curved bottom
Authors: Biswas Nirmalendu , Manna Nirmal Kumar , Mandal Dipak Kumar , Gorla Rama Subba Reddy 
Published: July 2021

Purpose
This study aims to investigate thermo-bioconvection of oxytactic microorganisms occurring in a nanofluid-saturated porous lid-driven cavity in the presence of the magnetic field. The heating is provided through a bell-shaped curved bottom wall heated isothermally. The effects of the peak height of the curved bottom wall, bioconvection Rayleigh number (Rb), Darcy number (Da), Hartmann number (Ha), Peclet number (Pe), Lewis number (Le) and Grashof number (Gr) on the flow structure, temperature and the iso-concentrations of oxygen and microorganisms are examined and explained systematically. The local and global, characteristics of heat transfer and oxygen concentration, are estimated through the Nusselt number (Nu) and Sherwood number (Sh), respectively.

Design/methodology/approach
The governing equations of continuity, momentum, energy and additionally consisting of species transport equations for oxygen concentration and population density of microorganisms, are discretized by the finite volume method. The evolved linearized algebraic equations are solved iteratively through the alternate direction implicit scheme and the tri-diagonal matrix algorithm. The computation domain has meshed in non-uniform staggered grids. The entire computations are carried out through an in-house developed code written in FORTRAN following the SIMPLE algorithm. The third-order upwind and second-order central difference schemes are used for handling the advection and diffusion terms, respectively. The convergence criterion for the iterative process of achieving the final solution is set as 10–8 and 10–10, respectively, for the maximum residuals and the mass defect.

Findings
The results show that the flow and temperature distribution along with the iso-concentrations of oxygen and microorganisms are markedly affected by the curvature of the bottom wall. A secondary circulation is developed in the cavity that changes the flow physics significantly. The Nu increases with the peak height of the curved bottom wall and Da; however, it decreases with Ha and Rb. The Sh increases with Da but decreases with Ha and the peak height of the curved wall.

Research limitations/implications
A similar study of bioconvection could be extended further considering thermal radiation, chemical attraction, gravity, light, etc.

Practical implications
The outcomes of this investigation could be used in diverse fields of multi-physical applications such as in food industries, chemical processing equipment, fuel cell technology and enhanced oil recovery.

Originality/value
The insights of bioconvection of oxytactic microorganisms using a curved bottom surface along with other physical issues such as nanofluid, porous substance and magnetic field are addressed systematically and thoroughly.
Do macroeconomic conditions affect corporate cash holdings and cash adjustment dynamics? Evidence from GCC countries
Authors: Guizani Moncef , Ajmi Ahdi Noomen 
Published: July 2021

PurposeThis study aims to investigate the influence of macroeconomic conditions on corporate cash holdings in terms of their influence on the level of cash and the speed of adjustment of cash to target levels in the Gulf Cooperation Council countries (GCC).Design/methodology/approachThe study employs both static and dynamic regression analyses considering a sample of 2,878 firm-year observations drawn from stock markets in GCC countries over the 2010–2018 period.FindingsConsistent with the precautionary motive, the results show that GCC firms tend to accumulate cash reserves in weak economic periods. Evidence also reveals that the estimated adjustment coefficients from dynamic panel models show that GCC firms adjust more slowly toward their target cash ratio in periods of unfavorable economic conditions.Practical implicationsThis study has important implications for managers, policymakers and regulators. For managers, the study is an important reference to understand and design cash management policies by considering financial constraints imposed by macroeconomic conditions. In particular, managers should pay more attention to periods of credit crunch and weak economic conditions in which firms may be exposed to greater bankruptcy risks. For policymakers and regulators, this study may be useful in assessing the effect of macroeconomic factors on firm's cash holding decision. Therefore, in an effort to increase the supply of external financing available to firms, policymakers may devise investment friendly environment by controlling macroeconomic factors.Originality/valueThis paper offers some insights on the macro determinants of cash holdings by investigating emerging economies. It explores the role of macroeconomic conditions on corporate cash holdings in terms of their influence on the costs of external funds and financial constraints.