bluuebunny/crossref_metadata_2025_split huggingface dataset:
Local perspectives on landslide prevention and management in Kalimpong district, West Bengal, India
Authors: Gurung Lochan , McGowran Peter 
Published: September 2021

PurposeThis paper is joint reflection on the role of research assistants (RAs) in fieldwork for disaster risk research, particularly at the doctoral level. The paper has been co-authored by Gurung, who worked as a RA with the other author McGowran during his doctoral field research in Kalimpong from May 2019 to January 2020. The piece allows Gurung to voice his ideas on the research in a published research output and allows both authors to reflect on how the collaborative approach taken helped to make the research more responsive to, and reflective of, the problems people affected by landslides in Kalimpong face. The paper aims to highlight the benefits of working with RAs on landslide prevention and management in areas that may be unfamiliar and to provide a space for the RAs to voice their opinion on the research.Design/methodology/approachThe paper is split into sections written by and in the voice of the authors. This reflects a compromise between wanting Gurung's voice to be clearly heard in the piece and the challenges of non-academically trained RAs contributing to academic outputs that require specific training. Brief outlines of Kalimpong district disaster research in the region are set out by McGowran initially. Gurung then outlines how he became involved in the research and how this affected the research methodology. He reflects on how the research played out and presents some brief reflections on the findings. McGowran then concludes the piece.FindingsThe authors discuss how landslides in Kalimpong are related to locally specific political, economic, cultural and physical processes. It is only through discussing these processes with the people who live with and are affected by these landslides that this more holistic understanding can be gained, even though complete explanations are never usually found. Ideas for further research into landslides in Kalimpong and elsewhere are presented, centering on the involvement of people affected by disasters in this research.Originality/valueThe authors hope the publication of the paper might set more of a precedent for the voice of RAs – and those who are affected by disasters – to be more clearly heard in disaster risk research and practice in future. More of this type of research could help to address some of the issues this special issue raises.
High-concentration time–frequency analysis for multi-component nonstationary signals based on combined multi-window Gabor transform
Authors: Wang Qiang , Meng Chen , Wang Cheng 
Published: September 2021

PurposeThis study aims to reveal the essential characteristics of nonstationary signals and explore the high-concentration representation in the joint time–frequency (TF) plane.Design/methodology/approachIn this paper, the authors consider the effective TF analysis for nonstationary signals consisting of multiple components.FindingsTo make it, the authors propose the combined multi-window Gabor transform (CMGT) under the scheme of multi-window Gabor transform by introducing the combination operator. The authors establish the completeness utilizing the discrete piecewise Zak transform and provide the perfect-reconstruction conditions with respect to combined TF coefficients. The high-concentration is achieved by optimization. The authors establish the optimization function with considerations of TF concentration and computational complexity. Based on Bergman formulation, the iteration process is further analyzed to obtain the optimal solution.Originality/valueWith numerical experiments, it is verified that the proposed CMGT performs better in TF analysis for multi-component nonstationary signals.
Online private self-disclosure’s potential for experiential value co-creation
Authors: Haji Iftakar Hassan Abdulla , Peluso Alessandro M. , Jong Ad de 
Published: September 2021

PurposeThis study aims to integrate and extend existing approaches from self-identity literature by examining the underexplored aspects of online private self-disclosure. The study first explores the experiential value co-created when consumers voluntarily self-disclose on public platforms. Second, it sheds light on what motivates such consumers to disclose private self-images and experiences, thus giving up some degree of privacy on an unrestricted platform.Design/methodology/approachThis study conducted 65 laddering interviews and observed the profiles of ten consumers, who actively posted self-images on Instagram, through a netnographic study. Then, this study implemented a means-ends chain analysis on interview data.FindingsThis study found that online private self-disclosure can involve a co-created experiential value that consists of consumers’ self-affirmation, affective belief and emotional connection. These value components derive from three higher-order psychological consequences – empowerment, buffering offline inadequacy of self-worth and engagement – and four functional consequences – opportunity to learn, online control, self-brand authenticity and impression management.ImplicationsOperationally, this study proposes that Instagram could be configured and synched with other social networking sites to provide a more complete representation of the online self. Using algorithms that simultaneously pull from other social networking sites can emotionally connect consumers to a more relevant and gratifying personalized experience. Additionally, managers could leverage the findings to tailor supporting tools to transfer consumers’ private self-disclosure skills learned during online communication into their offline settings.OriginalityThis research contributes to the extant marketing literature by providing insights into how consumers can use private self-disclosure to co-create experiential value, an emerging concept in modern marketing that is key to attaining satisfied and loyal consumers. This study shows that, even in anonymous online settings, consumers are willing to self-disclose and progress to stable intimate exchanges of disclosure by breaking their inner repression and becoming more comfortable with releasing their desires in an emotional exchange.
A new subject-based retrieval and search result visualization approach for scientific digital libraries
Authors: Bakhshayesh Sayed Mahmood , Ahmadi Abbas , Mohebi Azadeh 
Published: September 2021

Purpose
Many search engines in digital libraries are restricted to the terms presented in users’ queries. When users cannot represent their information needs in terms of keywords in a query, the search engine fails to provide appropriate results. In addition, most search engines do not have the ability to visualize search results for users to help them in their information journey. The purpose of this paper is to develop a new approach for search result visualization in digital libraries. The visualization approach enables subject-based visualization of search results and search queries.

Design/methodology/approach
To enable subject-based visualization of search results in digital libraries, new subject-based document retrieval is proposed in which each document is represented as a vector of subjects as well. Then, using a vector space model for information retrieval, along with the subject-based vector, related documents to the user’s query are retrieved, whilst each document is visualized through a ring chart, showing the inherent subjects within each document and the query.

Findings
The proposed subject-based retrieval and visualization approach is evaluated from various perspectives to amplify the impact of the visualization approach from users’ opinions. Users have evaluated the performance of the proposed subject-based retrieval and search result visualization, whilst 67% of users prefer subject-based document retrieval and 80% of them believe that the proposed visualization approach is practical.

Research limitations/implications
This research has provided a subject-based representation scheme for search result visualization in a digital library. The implication of this research can be viewed from two perspectives. First, the subject-based retrieval approach provides an opportunity for the users to understand their information needs, beyond the explicit terms in the query, leading to results, which are semantically relevant to the query. Second, the simple subject-based visualization scheme, helps users to explore the results easily, whilst allowing them to build their knowledge experience.

Originality/value
A new vectorized subject-based representation of documents and queries is proposed. This representation determines the semantic and subject-based relationship between a given query and documents within a digital scientific library. In addition, it also provides a subject-based representation of the retrieved documents through which users can track the semantic relationship between the query and retrieve documents, visually.
The impact of exporting on women's employment
Authors: Dikilitas Begum , Fazlioglu Burcu , Dalgic Basak 
Published: September 2021

PurposeThis paper aims to examine the effect of exports on women's employment rate for Turkish manufacturing firms over a recent period of 2003–2015.Design/methodology/approachThe authors establish treatment models and use propensity score matching (PSM) techniques together with difference-in-difference methodology.FindingsThe results of the study indicate that starting to export increases women’s employment rate for manufacturing firms. Gains in female employment rates are observed for the firms operating in low and medium low technology intensive sectors, low-wage sectors as well as laborlabor-intensive goods exporting sectors.Originality/valueThe authors complement previous literature by utilizing a rich harmonized firm-level dataset that covers a large number of firms and a recent time period. The authors distinguish between several sub-samples of firms according to technology intensity of the sector in which they operate, wage level and factor intensity of exports and investigate whether or not women gain from trade in terms of employment opportunities.
Impact of psychological contract fulfillment on well-being through the mediation of psychological distress: unveiling the evidences from banking sector
Authors: Karani Anushree M. , Deshpande Revati Chandrashekhar , Jayswal Mitesh 
Published: September 2021

Purpose
This paper aims to explore the content of the psychological contract (PC), i.e. work-family conflict (WFC), family-work conflict (FWC), work overload (WO) and work autonomy (WA) and its impact on well-being (WB), i.e. job satisfaction (JS), family satisfaction (FS), life satisfaction (LS), through the mediation of psychological distress (PD).

Design/methodology/approach
The current study has adopted a quantitative approach and a cross-sectional research design with a snowball sampling technique. The sample size consists of 400 employees from the banking sector. SPSS and AMOS 20v has been used for structural equation modelling to give empirical findings from the responses collected.

Findings
The current study has checked the relationship between PC and WB through the mediation analysis of PD. WA was not affecting the WB of banking employees. The study found that there was partial mediation. It was also proven that the lower the breach of PC lower the PD, and the higher the WB.

Originality/value
The current study has tried to explain the content of PC among the employees of the banking sector and how that is associated with WB. There was limited work from which showcase the WFC, FWC and WO from the view of PC theory, and it affects different WB, i.e. JS, LS and FS.
Intentional ingestion of batteries and razor blades by a prisoner: a true emergency?
Authors: Pantazopoulos Ioannis , Mavrovounis Georgios , Mermiri Maria , Adamou Antonis , Gourgoulianis Konstantinos 
Published: September 2021

PurposeFew case studies in the literature report on adult patients with intentional foreign body ingestion. Prisoners deliberately ingest foreign bodies, such as cylindrical alkaline batteries and razor blades, to achieve hospitalization or commit suicide. The purpose of this paper is to present a case of deliberate ingestion of batteries and razor blades by an inmate.Design/methodology/approachThe authors present a case of an incarcerated man in Greece, who intentionally ingested three cylindrical alkaline batteries and three razor blades wrapped in aluminum foil.FindingsThe patient was treated conservatively with serial radiographs and was subsequently discharged without complication. This paper discusses the complications and examine the current guidelines available.Originality/valueTo best of authors’ knowledge, this is the first report of a simultaneous ingestion of batteries and razor blades.
FEA of reinforced concrete beam-column joint with steel fibers for cyclic loading
Authors: Ahmad Shoaib , Hasnain Ghulamul 
Published: September 2021

PurposeSteel fibers reinforced concrete (SFRC) is now widely accepted as a construction material for its added benefits. The proven increases in high shear capacity, toughness, bridging action of fibers and bond improvement from addition of steel fibers into mix design is a field yet to be explored, Therefore, Reinforced Cement Concrete (RCC) beam-column joint with steel fibers was modeled and analyzed for cyclic loading.Design/methodology/approachBeam-column joint is the most critical section of a structure under mixed loading such as that during a seismic episode. Therefore, in this research a reinforced SFRC beam column joint is modeled and analyzed for cyclic earthquake loading with the help of finite element analysis (FEA) software ABAQUS to compare the results with the experimental study.FindingsNonlinear static and nonlinear dynamic analysis are carried out on the SFRC joint for the comparison of simulated results with the experimental analysis.Originality/valueIn this paper, Initially, modeling of SFRC joint was done. Then, the finite element analysis of beam-column joint with steel fibers was carried out. After number of simulations, obtained FEA results were compared with the experimental work on the based on the load vs deflection curve, shear stresses, plastic strain region and plastic strain pattern. After the comparison, it was found that the performance of the numeric model for cyclic loading verified the experimental study, and the results obtained were quite promising.
Antioxidant behavior and tribological performance of a novel multifunctional additive in complex lithium grease
Authors: Chao Mianran , Jin Ming , Gong Peiwei , Shen Duyi , Zhu Lili 
Published: September 2021

Purpose
This paper aims to contrastively investigate the antioxidant behavior and tribological performance of a novel multifunctional additive (PBT) and dialkyldithiophosphate (ZDDP) in complex lithium grease (CLG).

Design/methodology/approach
PBT was successfully synthesized through esterification reaction. The antioxidant behavior of PBT and ZDDP was investigated by thermal analysis, and meanwhile, their tribological performance was evaluated by Optimol SRV-IV oscillating reciprocating friction and wear tester (SRV-IV test) and MRS-1J four-ball tester (Four-ball test). Furthermore, their anticorrosion ability was determined by copper strip corrosion test.

Findings
Four-ball tests showed that the extreme pressure property of PBT was a little inferior to that of ZDDP. Besides, all the other results demonstrated that PBT showed more superior antioxidation stability, friction-reduction and antiwear ability, as well as anticorrosion performance than ZDDP.

Originality/value
This work provides a study of hindered phenol derivative as a multifunctional additive in lubricant grease, which can contribute to the development of substitution of ZDDP.
Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance
Authors: Wang Guanzheng , Xu Yinbo , Liu Zhihong , Xu Xin , Wang Xiangke , Yan Jiarun 
Published: September 2021

Purpose
This paper aims to realize a fully distributed multi-UAV collision detection and avoidance based on deep reinforcement learning (DRL). To deal with the problem of low sample efficiency in DRL and speed up the training. To improve the applicability and reliability of the DRL-based approach in multi-UAV control problems.

Design/methodology/approach
In this paper, a fully distributed collision detection and avoidance approach for multi-UAV based on DRL is proposed. A method that integrates human experience into policy training via a human experience-based adviser is proposed. The authors propose a hybrid control method which combines the learning-based policy with traditional model-based control. Extensive experiments including simulations, real flights and comparative experiments are conducted to evaluate the performance of the approach.

Findings
A fully distributed multi-UAV collision detection and avoidance method based on DRL is realized. The reward curve shows that the training process when integrating human experience is significantly accelerated and the mean episode reward is higher than the pure DRL method. The experimental results show that the DRL method with human experience integration has a significant improvement than the pure DRL method for multi-UAV collision detection and avoidance. Moreover, the safer flight brought by the hybrid control method has also been validated.

Originality/value
The fully distributed architecture is suitable for large-scale unmanned aerial vehicle (UAV) swarms and real applications. The DRL method with human experience integration has significantly accelerated the training compared to the pure DRL method. The proposed hybrid control strategy makes up for the shortcomings of two-dimensional light detection and ranging and other puzzles in applications.
Industrial dynamics and economic growth in health-care context. Evidence from selected OECD countries
Authors: Ying Song , Leone Daniele , Cicchiello Antonella Francesca , Cicchiello Antonella Francesca , Kazemikhasragh Amirreza 
Published: September 2021

Purpose
The economic shock posed by the current COVID-19 outbreak brought out a worldwide public health emergency with a close relationship between the industrial marketing practices, the health level of society and its economic development. The purpose of this study is to analyse the industrial dynamics in health care and their impact on economic growth and health status.

Design/methodology/approach
To empirically investigate the relationship between growth and health, the authors use a data set drawn from 29 selected Organisation for Economic Co-operation and Development (OECD) countries over the period 2000 and 2019. Using panel regressions, the authors investigate the impact of the health-care industry measured in terms of health status, health expenditure, sales on pharmaceutical products, the number of persons working in health care and the coverage by private health insurances. Fixed effect and random effect regressions are used to estimate this model.

Findings
Overall, the results are suggestive of a nexus between the industrial marketing dynamics of health-care context and economic growth – both interacting and improving each other. As the quality of the health-care market enhances, the economy grows richer and the health status of the population improves considerably.

Practical implications
To support health-care markets in OECD countries, health policymakers need to formulate a long-term industrial health policy that addresses all the social and individual determinants of health.

Originality/value
To the best of the knowledge, this is the first study to provide a better understanding of the relationship between health-care industrial dynamics and economic growth in OECD countries along different dimensions.
Perspectives on computing ethics: a multi-stakeholder analysis
Authors: Gordon Damian , Stavrakakis Ioannis , Gibson J. Paul , Tierney Brendan , Becevel Anna , Curley Andrea , Collins Michael , O’Mahony William , O’Sullivan Dympna 
Published: September 2021

Purpose
Computing ethics represents a long established, yet rapidly evolving, discipline that grows in complexity and scope on a near-daily basis. Therefore, to help understand some of that scope it is essential to incorporate a range of perspectives, from a range of stakeholders, on current and emerging ethical challenges associated with computer technology. This study aims to achieve this by using, a three-pronged, stakeholder analysis of Computer Science academics, ICT industry professionals, and citizen groups was undertaken to explore what they consider to be crucial computing ethics concerns. The overlap between these stakeholder groups are explored, as well as whether their concerns are reflected in the existing literature.

Design/methodology/approach
Data collection was performed using focus groups, and the data was analysed using a thematic analysis. The data was also analysed to determine if there were overlaps between the literature and the stakeholders’ concerns and attitudes towards computing ethics.

Findings
The results of the focus group analysis show a mixture of overlapping concerns between the different groups, as well as some concerns that are unique to each of the specific groups. All groups stressed the importance of data as a key topic in computing ethics. This includes concerns around the accuracy, completeness and representativeness of data sets used to develop computing applications. Academics were concerned with the best ways to teach computing ethics to university students. Industry professionals believed that a lack of diversity in software teams resulted in important questions not being asked during design and development. Citizens discussed at length the negative and unexpected impacts of social media applications. These are all topics that have gained broad coverage in the literature.

Social implications
In recent years, the impact of ICT on society and the environment at large has grown tremendously. From this fast-paced growth, a myriad of ethical concerns have arisen. The analysis aims to shed light on what a diverse group of stakeholders consider the most important social impacts of technology and whether these concerns are reflected in the literature on computing ethics. The outcomes of this analysis will form the basis for new teaching content that will be developed in future to help illuminate and address these concerns.

Originality/value
The multi-stakeholder analysis provides individual and differing perspectives on the issues related to the rapidly evolving discipline of computing ethics.