bluuebunny/crossref_metadata_2025_split huggingface dataset:
A six-factor asset pricing model of China's stock market from the perspective of institutional investors' dominance
Authors: Zhou Xiaoguang , Lin Yuxuan , Zhong Jie 
Published: October 2022

PurposeChina's stock market, which serves as an example of emerging markets, is steadily maturing in the context of globalization. In order to analyze the pricing mechanism of China's stock market, this paper builds a six-factor model to address the market features that are structurally efficient but not entirely efficient.Design/methodology/approachThis study updates the Fama–French factor model's construction process to account for the unique features of China's stock market before creating a model that incorporates size, volume, value, profitability, and profit-income factors based on institutional investors' trading behavior and research preferences. The SWS three-tier sector stock index's monthly and quarterly data for the years 2016–2021 are used as samples for this study.FindingsThe results imply that China's stock market is structurally efficient and exhibits high levels of rationality in the region dominated by institutional investors. Specifically, big-size and high-volume portfolios that perform well in terms of liquidity can receive trading premiums. Growth-style sectors prevail at present, and investing in sectors with strong profitability and reliable financial reporting data can produce better returns.Practical implicationsThe research on China's stock market can be extended to improve the understanding of the development process of similar emerging markets, thereby promoting their improvement. To enhance the development of emerging markets, the regulators should attach great importance to the role of local institutional investors in driving the market to maturity. It is crucial to adopt a structured approach to examine the market pricing mechanism throughout the middle stage of the transition from developing to mature markets.Originality/valueThis study offers a structured viewpoint on asset pricing in growing emerging markets by combining the multi-factor pricing model approach with behavioral finance theories.
A hierarchical visual model for robot automatic arc welding guidance
Authors: Chen Chen , Chen Tingyang , Cai Zhenhua , Zeng Chunnian , Jin Xiaoyue 
Published: October 2022

Purpose
The traditional vision system cannot automatically adjust the feature point extraction method according to the type of welding seam. In addition, the robot cannot self-correct the laying position error or machining error. To solve this problem, this paper aims to propose a hierarchical visual model to achieve automatic arc welding guidance.

Design/methodology/approach
The hierarchical visual model proposed in this paper is divided into two layers: welding seam classification layer and feature point extraction layer. In the welding seam classification layer, the SegNet network model is trained to identify the welding seam type, and the prediction mask is obtained to segment the corresponding point clouds. In the feature point extraction layer, the scanning path is determined by the point cloud obtained from the upper layer to correct laying position error. The feature points extraction method is automatically determined to correct machining error based on the type of welding seam. Furthermore, the corresponding specific method to extract the feature points for each type of welding seam is proposed. The proposed visual model is experimentally validated, and the feature points extraction results as well as seam tracking error are finally analyzed.

Findings
The experimental results show that the algorithm can well accomplish welding seam classification, feature points extraction and seam tracking with high precision. The prediction mask accuracy is above 90% for three types of welding seam. The proposed feature points extraction method for each type of welding seam can achieve sub-pixel feature extraction. For the three types of welding seam, the maximum seam tracking error is 0.33–0.41 mm, and the average seam tracking error is 0.11–0.22 mm.

Originality/value
The main innovation of this paper is that a hierarchical visual model for robotic arc welding is proposed, which is suitable for various types of welding seam. The proposed visual model well achieves welding seam classification, feature point extraction and error correction, which improves the automation level of robot welding.
COVID-19, local food system and digitalisation of the agri-food sector
Authors: Musa Siti Fatimahwati Pehin Dato , Haji Besar Mohd Hairul Azrin , Anshari Muhammad 
Published: October 2022

Purpose
This paper aims to evaluate the responses taken during the pandemic of COVID-19 in sustaining agricultural activities and safeguarding local food supply via digital platforms by applying the case study method.

Design/methodology/approach
This paper uses a case study approach due to its systematic way of collecting data, analysing information and reporting results to understand the particular problem. For this study, secondary data consisting of government reports and documents are used to give a broader understanding of the impact of COVID-19 on the local food system and digital platform for agricultural produce.

Findings
The impact of COVID-19 on the agri-food sector is the move towards a more resilient and sustainable local food system, whereby nations emphasise food security by encouraging local food production. This is done by boosting micro, small and medium enterprises’ (MSME) output, “supporting local” initiatives and leveraging digital platforms and FinTech in business transactions.

Research limitations/implications
This study highlights that MSMEs’ adoption of digital platforms, particularly in the agri-food sector, demonstrates their willingness to embrace new business models that leverage technological advancements while maintaining the personal touch that attracts customers.

Practical implications
This study implies that although the pandemic outbreak created prolonged uncertainties with an immediate impact on the economy and ways of doing business transactions, digital platforms and FinTech ensured continuous food supply during the period.

Originality/value
This paper provides initial valuable insight to academics, practitioners and policymakers in agriculture and innovation management. It can be observed that digital platform and FinTech plays an essential role in ensuring safety and undisrupted food supply, especially in the case of fresh produce grown by local small-scale farmers and MSMEs. This creates a more resilient agri-food system and reduces the pressure from the conventional model of food purchase and social distancing requirements.
Does humble leadership mitigate employees’ knowledge-hiding behaviour? The mediating role of employees’ self-efficacy and trust in their leader
Authors: Al Hawamdeh Nayel 
Published: October 2022

PurposeThe concept of knowledge-hiding starkly contradicts the notions with which it is closely associated, such as knowledge-hoarding and knowledge-sharing. The understanding of the effect of humble leadership on follower knowledge-hiding behaviour is particularly limited, as it is significantly underdeveloped owing to its distinct nature. Ergo, this paper aims to explore the role of humble leadership and its ability to mitigate employee knowledge-hiding behaviour. Moreover, this study aims to investigate the mediating effect of employee self-efficacy and the trust that they have in their leader, based on the relationship between humble leadership behaviour and knowledge-hiding in Jordanian health-care organisations.Design/methodology/approachThis study used a quantitative method, and 260 employees of Jordan’s health-care organisations completed an online self-report questionnaire. Further to this, structural equation modelling was used to test the hypothesised correlations.FindingsAccording to the findings of this study, the leaders who exhibited humble behaviour mitigated their employees’ tendencies to engage in the two dimensions of knowledge-hiding (evasive hiding and playing dumb); however, they increased the tendency to practice rationalised hiding. Furthermore, the self-efficacy of employees and trust in their leader mediated the relationship between humble leadership and employees’ knowledge-hiding behaviour.Originality/valueThis study contributes to the literature by proposing and empirically demonstrating the impact of humble leadership across all three dimensions of knowledge-hiding behaviour, which in turn facilitates new discoveries in a developing country setting. This research expands and sheds light on the theory of humble leadership by proposing a motivational aspect in the negative relation between humble leadership and employees’ knowledge-hiding behaviour: employees’ self-efficacy and trust in their leader.
The effects of influencer endorsement services on crowdfunding campaigns
Authors: Bargoni Augusto , Giachino Chiara , Battisti Enrico , Iaia Lea 
Published: October 2022

Purpose
The purpose of this study is to investigate how influencer endorsement services stimulate funding intention in the context of crowdfunding (donation- and reward-based) and the moderating role played by platform trufvst and funder expertise.

Design/methodology/approach
To explore the effects of influencer endorsement services (i.e. perceived congruence, social influence and motivation) on funding intention in different crowdfunding campaigns, the authors developed a conceptual model tested using structural equation modelling. The authors also investigated two potential moderators underlying this relationship: platform trust and funder expertise.

Findings
The results of the study indicate that there was a positive effect of influencer endorsement services through the dimension congruence and the funding intention, both for reward- and donation-based crowdfunding. Moreover, they suggest that while perceived congruence has a positive effect on funding intention, when the two contexts are compared, only the moderating roles of platform trust over motivation and the funder expertise over motivation are significant and relevant.

Practical implications
The study has implications for both funders and those who seek to raise money for crowdfunding campaigns. The results offer new insights for developing effective crowdfunding campaigns, e.g. leveraging communication strategies based on the context of the crowdfunding (reward- vs donation-based) and the use of influencers as endorsers.

Originality/value
The present study is, to the best of the authors’ knowledge, the first to examine the impact of influencer endorsement services on crowdfunding campaigns, shedding new light on the interdisciplinary connections between service marketing and entrepreneurial finance in terms of fundraising activities. The study opens new and previously under-investigated interdisciplinary research streams. It deepens our understanding of a particular issue relating to the marketing and crowdfunding domain by measuring the impact of the influencer’s endorsement on people’s intention to participate in two different campaigns.
Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods
Authors: Wang Xu 
Published: October 2022

PurposeUnder the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.Design/methodology/approachThis paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.FindingsSix features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.Originality/valueThis paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.
A tale of two Peters: an analysis of the life of Peter Green using collaborative/community autoethnography and digital team ethnography
Authors: Hopkinson Patrick , Bryngelsson Peter , Voyce Andrew , Niklasson Mats , Carson Jerome 
Published: October 2022

PurposeThe purpose of this study is to mirror the late guitarist Peter Green’s life experiences through insights from Andrew Voyce, who recovered from mental illness, and expertise from Peter Bryngelsson, a Swedish professional musician and author.Design/methodology/approachThe authors used a mixed method of collaborative autoethnography, psychobiography and digital team ethnography.FindingsDespite having not previously attracted academic interest, Peter Green’s experiences of mental health problems and his return to recording and performance provide a rich data source when mirrored and compared to the lives and experiences of Andrew Voyce and Peter Bryngelsson.Research limitations/implicationsThe main limitation of this piece of work is that Peter Green died in 2020. During the process of writing, the authors have had to follow different, mostly unacademic, sources that have described various parts of Peter Green’s life. The authors have given examples and drawn conclusions from their own lives as well as from academic sources, which they have found appropriate.Practical implicationsBoth Andrew Voyce and Peter Bryngelsson’s stories would be helpful when it comes to a deeper understanding as to why Peter Green “took a left turn”, i.e., turned his back on an accepted lifestyle.Social implicationsAcid casualty is a problem connected to both mental distress and to the music industry. Peter Bryngelsson’s story tells us that one can remain sane and drug free and still be an influential and creative musician.Originality/valueThe analysis has brought together two stories of mental distress in combination with insights.
Antimicrobial dyeing of cotton from Euclea racemosa root
Authors: Erana Lami Amanuel 
Published: October 2022

Purpose
The purpose of this research is to develop an environmentally friendly antimicrobial dyeing of cotton fabric from the root of Euclea racemosa. Textile phytochemical finishing is in high demand worldwide because of its low toxicity, low pollution, ease of availability, renewability, pharmacological effects and non-carcinogenic properties, as well as its multifunctionality, rapid process stages and potential health benefit.

Design/methodology/approach
The cotton fabric was dyed with aqueous extracts of Euclea racemosa root dyes. Dyes were extracted for 20 min at pH 7.43 at room and boiling temperatures with material-to-liquor ratios (MLRs) of 1:5, 1:10, 1:15 and 1:20, altering one variable at a time, and the cotton fabric was colored using a post-mordanting procedure at 50°C with an MLR of 1:20. Using a properly cleaned Petri plate, the colored samples were tested in vitro for antibacterial activity. A spectrophotometer was used to assess color strength and shade depth, as well as wash fastness and annual rubbing fastness tests for both wet and dry.

Findings
L* = 36.29, a* = 58.56, b* = 32.46 and K/S = 0.51 were the CIELAB values for dye extracted at boiling temperature. L* = 47.14, a* = 42.23, b* = 49.61 and K/S = 0.38 were the CIELAB values for dye extracted at room temperature. The wash and rubbing fastness of the dyed samples were outstanding and the dyed cotton fabrics were found antibacterial against Gram-negative bacteria Escherichia coli.

Originality/value
Dyes derived from the E. racemosa root could be used to develop a new antibacterial cotton fabric dye.
Deblending of seismic data in the wavelet domain via a convolutional neural network based on data augmentation
Authors: Wang Shaowen , Song Peng , Tan Jun , Xia Dongming , Du Guoning , Wang Qianqian 
Published: October 2022

AbstractBlended acquisition, which allows multiple sources almost simultaneously fired, has become an effective way for accelerating seismic data acquisition. In order to use conventional processing methods for imaging, deblending is necessary for this special acquisition. Convolutional neural network‐based deblending methods provide a novel end‐to‐end framework for source separation. We proposed a field‐data‐based augmentation method that uses shuffled deblending noise as the features to be learned and take the inaccurate labels as the output of the network. Synthetic data experiments show that a network trained on data set with the proposed data augmentation method has higher accuracy for deblending even if the labelled data are noisy. Besides, 2D discrete wavelet transform, which has the advantage of multiscale decomposition and dimensionality reduction, is introduced to accelerate the computation of the network. The data augmentation method for data set generation and the computational speedup method for network training/predicting are also applied to field data. The results from synthetic and field data all confirm the performance of our methods.
Adaptations to high pressure of Nautilia sp. strain PV‐1, a piezophilic Campylobacterium (aka Epsilonproteobacterium) isolated from a deep‐sea hydrothermal vent
Authors: Smedile Francesco , Foustoukos Dionysis I. , Patwardhan Sushmita , Mullane Kelli , Schlegel Ian , Adams Michael W. , Schut Gerrit J. , Giovannelli Donato , Vetriani Costantino 
Published: October 2022

AbstractPhysiological and gene expression studies of deep‐sea bacteria under pressure conditions similar to those experienced in their natural habitat are critical for understanding growth kinetics and metabolic adaptations to in situ conditions. The Campylobacterium (aka Epsilonproteobacterium) Nautilia sp. strain PV‐1 was isolated from hydrothermal fluids released from an active deep‐sea hydrothermal vent at 9° N on the East Pacific Rise. Strain PV‐1 is a piezophilic, moderately thermophilic, chemolithoautotrophic anaerobe that conserves energy by coupling the oxidation of hydrogen to the reduction of nitrate or elemental sulfur. Using a high‐pressure–high temperature continuous culture system, we established that strain PV‐1 has the shortest generation time of all known piezophilic bacteria and we investigated its protein expression pattern in response to different hydrostatic pressure regimes. Proteogenomic analyses of strain PV‐1 grown at 20 and 5 MPa showed that pressure adaptation is not restricted to stress response or homeoviscous adaptation but extends to enzymes involved in central metabolic pathways. Protein synthesis, motility, transport, and energy metabolism are all affected by pressure, although to different extents. In strain PV‐1, low‐pressure conditions induce the synthesis of phage‐related proteins and an overexpression of enzymes involved in carbon fixation.
Current challenges for doctors in India: Deprofessionalisation, reprofessionalisation or fragmentation?
Authors: Jeffery Roger 
Published: October 2022

AbstractWestern‐trained doctors in India struggled to establish themselves as a medical ‘profession’ in the 1920s and 1930s and these struggles continued into the post‐colonial period. The direction of travel is, however, no longer clear. Increasing evidence of a crisis in doctors’ collective ability to provide a form of self‐regulation since 2000 is highlighted. India’s Supreme Court suspended the operations of their country’s medical councils in the face of a proliferation of poorly regulated private medical colleges. Practitioners of alternative systems of medicine and unqualified medical practice continue, while new ‘short‐course’ doctors take over tasks previously restricted to fully fledged MBBS doctors. The diversification of the social origins of medical students, with rising numbers of doctors from a wider range of social backgrounds, threatens their aspirations to high status. There is little diminution of the earnings of elite doctors, yet their conditions of work are increasingly constrained by financial targets. Young doctors face uncertain futures. This article analyses the increasingly diverse occupational positions of doctors in India using a Bourdieusian lens and asks whether an alternative, stable form of institutional arrangements is emerging, as some have claimed, or if fragmentation is a more apt description.
‘The Whole Thing was Numbingly Bland and it was Deliberately So’: Food and Power in Ireland's Magdalene Laundries, 1922–1996
Authors: Williams Alice Mulhearn 
Published: October 2022

AbstractFor survivors of Ireland's Magdalene Laundries, food is a sensory embodiment of the punishment and powerlessness they experienced while contained within the institutions. As part of the Irish Free State's architecture of containment, the relationship between the Laundries and the state is unique: the Catholic‐run institutions operated outside of state bureaucracy, yet they were central to its attempts to consolidate sovereignty as a fledgling nation. For historians, the sensing body is one of the few avenues to understanding the Magdalene institutions and their place in twentieth‐century Irish history. This article uses memories of food as a point of access to the subjectivities of survivors, and in doing so reveals the affective imprint of institutional power on embodied experience.