bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generalised grey target decision method based on the Gini–Simpson index involving mixed attributes and uncertain numbers
Authors: Ma Jinshan 
Published: October 2019

Purpose
The purpose of this paper is to investigate a novel generalised grey target decision method (GGTDM) with index and weight involving mixed attribute values.

Design/methodology/approach
The mixed attribute values are transformed into binary connection numbers and also comprised of two-tuple (determinacy, uncertainty) numbers to fulfil the decision-making task. The proposed method constructs the weight function to convert the mixed attribute-based weights into the certain number-based weights and determines the alternatives ranking by the comprehensive weighted Gini–Simpson indices (CWGSIs).

Findings
The result of decision making regarding the numerical example by the proposed approach is somewhat different from that obtained by the reported vector-based method. The reasons for this are threefold: the decision-making bases are different, the target centre indices are determined by different mechanisms and certain number-based weights are calculated in different ways.

Research limitations/implications
The proposed method ranks an alternative based on the Gini–Simpson index, as derived from the viewpoint of measuring the uncertainty (heterogeneity): however, the vector-based GGTDM makes a decision based on proximity, as is the case when measuring the similarities between index vectors.

Practical implications
The proposed approach is admissible to solving mixed attribute-based decision making especially for alternative indices and attribute weights containing both uncertain numbers.

Originality/value
The proposed method provides a new perspective on measuring the difference of alternatives to the target centre via the CWGSI: the CWGSI is obtained by relying on the pseudo-probabilities achieved by the ratios of the alternative indices to the target centre indices. It also builds a weight function converting the mixed attribute-based weights into certain number-based weights. This method provides a framework that should be tested in terms of its effective decision making using real data and an actual problem.
Extracting core questions in community question answering based on particle swarm optimization
Authors: Li Ming , Chen Lisheng , Xu Yingcheng 
Published: October 2019

PurposeA large number of questions are posted on community question answering (CQA) websites every day. Providing a set of core questions will ease the question overload problem. These core questions should cover the main content of the original question set. There should be low redundancy within the core questions and a consistent distribution with the original question set. The paper aims to discuss these issues.Design/methodology/approachIn the paper, a method named QueExt method for extracting core questions is proposed. First, questions are modeled using a biterm topic model. Then, these questions are clustered based on particle swarm optimization (PSO). With the clustering results, the number of core questions to be extracted from each cluster can be determined. Afterwards, the multi-objective PSO algorithm is proposed to extract the core questions. Both PSO algorithms are integrated with operators in genetic algorithms to avoid the local optimum.FindingsExtensive experiments on real data collected from the famous CQA website Zhihu have been conducted and the experimental results demonstrate the superior performance over other benchmark methods.Research limitations/implicationsThe proposed method provides new insight into and enriches research on information overload in CQA. It performs better than other methods in extracting core short text documents, and thus provides a better way to extract core data. The PSO is a novel method used for selecting core questions. The research on the application of the PSO model is expanded. The study also contributes to research on PSO-based clustering. With the integration of K-means++, the key parameter number of clusters is optimized.Originality/valueThe novel core question extraction method in CQA is proposed, which provides a novel and efficient way to alleviate the question overload. The PSO model is extended and novelty used in selecting core questions. The PSO model is integrated with K-means++ method to optimize the number of clusters, which is just the key parameter in text clustering based on PSO. It provides a new way to cluster texts.
Peculiarity of the bit rot and link rot phenomena
Authors: Król Karol , Zdonek Dariusz 
Published: October 2019

Purpose
Almost two decades after diagnosing the link rot phenomenon, and in spite of the universal character of the bit rot phenomenon, the need for reminding about these is still valid. This is because it appears that digital device users have become accustomed to them. The bit rot and link rot phenomena describe the inability to access specific contents or the inability to use specific digital resources. This paper aims to answer the question as to whether it is possible to eliminate the link rot and bit rot phenomena from the internet space.

Design/methodology/approach
The link rot and bit rot phenomena were characterised based on a review of various source materials, including the academic literature and internet materials.

Findings
The phenomena known as bit rot and link rot have already been well researched and described. Research has revealed the reasons for their occurrence, and also offered recommendations on how to minimise their occurrence. In the current digital ecosystem, however, it is not possible to completely eliminate the link rot and bit rot phenomena.

Research limitations/implications
One can forecast that the link rot phenomenon will intensify and the internet resources will be even more unstable, because more and more new, highest-level domains which are purchased are emerging.

Originality/value
The study compares the phenomena of bit rot and link rot, even though they are usually considered separately. Moreover, it presents the terms of “digital bumps”, which cause “digital tsunami”.
Variational multi-scale finite element method for the two-phase flow of polymer melt filling process
Authors: Li Xuejuan , He Ji-Huan 
Published: October 2019

Purpose
The purpose of this paper is to develop an effective numerical algorithm for a gas-melt two-phase flow and use it to simulate a polymer melt filling process. Moreover, the suggested algorithm can deal with the moving interface and discontinuities of unknowns across the interface.

Design/methodology/approach
The algebraic sub-grid scales-variational multi-scale (ASGS-VMS) finite element method is used to solve the polymer melt filling process. Meanwhile, the time is discretized using the Crank–Nicolson-based split fractional step algorithm to reduce the computational time. The improved level set method is used to capture the melt front interface, and the related equations are discretized by the second-order Taylor–Galerkin scheme in space and the third-order total variation diminishing Runge–Kutta scheme in time.

Findings
The numerical method is validated by the benchmark problem. Moreover, the viscoelastic polymer melt filling process is investigated in a rectangular cavity. The front interface, pressure field and flow-induced stresses of polymer melt during the filling process are predicted. Overall, this paper presents a VMS method for polymer injection molding. The present numerical method is extremely suitable for two free surface problems.

Originality/value
For the first time ever, the ASGS-VMS finite element method is performed for the two-phase flow of polymer melt filling process, and an effective numerical method is designed to catch the moving surface.
Health and safety leadership
Authors: Börner Heidi Elizabeth , Lassowski Sandra 
Published: October 2019

Purpose
Based on the research findings the authors derive propositions for further research to explore the role of safety and ethical leadership in enhancing health and safety performance within New Zealand companies. The paper aims to discuss this issue.

Design/methodology/approach
Based on quantitative and qualitative health and safety data collected by Börner in New Zealand and analysed in the (unpublished) Master Thesis of Lassowski “Supporting Aspects of Organisational culture on Occupational Health and Safety” (2014) the authors will examine in this paper the responses of company governance and senior leadership to reports made from front-line staff about their perception of the safety culture and (potential) threats to health and safety.

Findings
The data indicate that company governance and senior leadership are sometimes reluctant to give adequate responses to employee reporting and fail to take effective measures to protect people and the business.

Research limitations/implications
Directors and senior leaders need to be vigilant that the company systems remain compliant with Health and Safety legislation and are aligned with best practices in the sector/organisation. Reports from employees using company systems on a daily basis are vital to assure that those systems work as they should, and that action can be taken when (potential) threats to health and safety are reported.

Originality/value
The workplace has a significant influence on injury, illness, fatalities and threats to environmental, community and individual wellbeing and this influence can be positive or negative. The research explores the link between the ethics of organisational leadership and its influence on workplace health and safety climate and outcomes.
Foreign direct investment and wage spillover in Thailand
Authors: Paweenawat Sasiwimon Warunsiri 
Published: October 2019

Purpose
The purpose of this paper is to investigate whether foreign direct investment (FDI) benefitted Thai workers in domestic firms.

Design/methodology/approach
By utilizing existing firm-level unbalanced panel data from the survey of the Office of Industrial Economics, Ministry of Industry, Thailand, between 2004 and 2013, this study applies dynamic panel data analysis, using the generalized method of moments proposed by Arellano and Bond (1991), to estimate the wage spillover from multinational enterprises (MNEs) to domestic firms in Thailand.

Findings
The study reveals that there is a positive wage spillover from the presence of MNEs in the industry to domestic firms. Furthermore, a wage spillover also exists in the low-technology industry, as well as in firms located in the Metropolitan and Northern regions. These findings confirmed that FDI offers a significant advantage in Thailand’s labor market.

Originality/value
This study is the empirical research to utilize existing firm-level unbalanced panel data in Thailand, applying dynamic panel data analysis to data from 2004 to 2013 to estimate the wage spillover from MNEs to domestic firms.
Sustainability disclosure in higher education
Authors: Son-Turan Semen , Lambrechts Wim 
Published: October 2019

PurposeThe purpose of this paper is to explain the extent and content of the sustainability disclosure of public and foundation (private but not-for-profit) universities in Turkey.Design/methodology/approachSubsequent to a systematic literature review of six academic databases and the National Thesis Center, a content analysis using a combination of Global Reporting Initiative and campus assessment tools from previous studies is conducted on stand-alone sustainability reports and websites of a purposive sample of eight universities in Turkey.FindingsInfrequent and unsystematic sustainability practice done through websites seems to be more prevalent than formal reporting through international initiatives. Research and practice diverge by focusing on different sustainability indicators. Sustainability needs to be integrated into teaching and curriculum through university policies and regulations. Foundation universities show greater effort in sustainability reporting than public universities.Research limitations/implicationsThe research is limited by the availability of mostly self-reported, dispersed and unaudited data by foundation universities in addition to framework-imposed specificities. Furthermore, there is only one public university with a formal sustainability report in the sample.Practical implicationsThe findings offer suggestions for developing extra sustainability indicators and may assist local policy-makers and researchers in their efforts to improve sustainability reporting by local universities.Originality/valueThis comprehensive research effort is one of the few studies from a non-Western country perspective and the only study on Turkey in relation to universities and sustainability reporting.
A proposal of calligraphy learning assistant system with letter portion practice function using projection mapping
Authors: Huda Samsul , Funabiki Nobuo , Kuribayashi Minoru , Kao Wen-Chung 
Published: October 2019

Purpose
For several decades, calligraphy has been popular among people in Japan, China, and even in the world. Traditionally, a teacher teaches how to write letters on a paper with a brush, and a student will imitate them by referring to the model letters. However, if a teacher is not available, this method will not be applicable either. This study aims to propose a calligraphy learning assistant system (CLAS) using projection mapping, which allows a student to learn calligraphy by him/herself.

Design/methodology/approach
By following the letter writing video of a teacher that is directly projected on the paper, a student is able to learn the stroke order and writing speed in addition to the letter shape. Moreover, the letter portion practice function is incorporated in CLAS to allow a learner to repeat practicing hard portions of each letter.

Findings
For evaluations, the authors implemented CLAS using Raspberry Pi and open-source software and asked students to use it. The results confirmed that CLAS is effective in improving calligraphy skills of novice students.

Originality/value
With CLAS, a student can practice calligraphy using a conventional brush, ink and paper at a desk while looking at the model letter writing of a teacher projected on the paper using projection mapping.
Prediction of impact response in construction safety helmet using FEA
Authors: Khan Mohammed Rajik , Sonawane Atul 
Published: October 2019

Purpose
This paper aims to present 3D finite element (FE) simulations of impact loading on a construction safety helmet over a headform to improve the ventilation slots profile in helmet design.

Design/methodology/approach
Impact response on headforms in three different studies considering ventilation slots of varied profiles and dimensions in helmets with rectangular elliptical and circular slots is compared and analysed. Head injury criteria (HIC) and safety regulations from past literature have been considered to evaluate the impact responses.

Findings
Simulation results show that a helmet with rectangular ventilation slots achieves a lowest peak impact force of 5941.3 N for a slot area of 170 mm2 as compared to elliptical and circular slots.

Research limitations/implications
Ventilation slots of simple geometry (rectangular, elliptical and circular) have been considered in this work. Other/complex geometry slots can also be chosen to predict its effect during impact response on a helmet–headform model. Biofidelic head–neck FE model can be developed to achieve precise results.

Practical implications
The presented work gives a clear idea to design engineers for the selection of ventilation slot profiles to design a construction safety helmet.

Social implications
Construction safety (CS) helmets are used to reduce injuries on heads of workers at construction sites in the event of free-falling objects. Rectangular ventilation slots in CS helmets as suggested in the work may reduce the risk of injury.

Originality/value
Results are found in good agreement with the past numerical simulation of impact response on a construction safety helmet over a validated biofidelic head FE model.
Teaching medical students child and adolescent psychiatry (CAP)
Authors: Salmon Gill , Tombs Michal 
Published: October 2019

Purpose
The prevalence of psychiatric disorders in children and young people is increasing, leading to recommendations that medical schools re-consider their curriculum content and teaching practices for child and adolescent psychiatry (CAP). The purpose of this paper is to seek guidance for undergraduate curriculum development from the wider literature on CAP curriculum content and teaching practices.

Design/methodology/approach
A comprehensive search of the literature was conducted, focussing on studies that examined undergraduate teaching of CAP. In an attempt to establish whether there is an agreed level of curriculum content and teaching practices, literature from all over the world was included.

Findings
Findings suggest that curriculum content and teaching practices are varied, therefore it was difficult to identify best practice upon which recommendations can be made. In addition, despite previous calls for curriculum improvements and expansion of learning objectives, recent studies suggest that there has been little change.

Research limitations/implications
A common theme emerging was the importance of making the CAP curriculum relevant to all future doctors rather than only those who plan to specialise in CAP. Further research to determine what CAP knowledge, skills and attitudes non-psychiatrists think that medical students need to be taught is warranted.

Originality/value
This paper reviewed the literature on undergraduate CAP teaching, highlighting common themes from the wider literature on medical curriculum development to inform how CAP curricula content can be developed to equip future doctors.
Message content features and social media engagement: evidence from the media industry
Authors: Moran Gillian , Muzellec Laurent , Johnson Devon 
Published: October 2019

Purpose
This paper aims to uncover the drivers of consumer-brand engagement on Facebook, understood here as users’ behavioral responses in the form of clicks, likes, shares and comments. We highlight which content components, interactivity cues (calls to action [CTA]) and media richness (e.g. video, photo and text) are most effective at inducing consumers to exhibit clicking, liking, commenting and sharing behaviors toward branded content.

Design/methodology/approach
This study analyzes 757 Facebook-based brand posts from a media and entertainment brand over a 15-week period. It investigates the relationship between interactive cues and media richness with consumer engagement using a negative binomial model.

Findings
Results show positive relationships for both interactivity cues and media richness content components on increasing consumer-brand engagement outcomes. The findings add clarity to previous inconsistent findings in the marketing literature. CTAs enhance all four engagement behaviors. Media richness also strongly influences all engagement behaviors, with visual imagery (photos and videos) attracting the most consumer responses.

Research limitations/implications
The sampled posts pertain to one brand (a radio station) and are thus concentrated within the media/entertainment industry, which limits the generalizability of findings. In addition, the authors limit their focus to Facebook but recognize that findings may differ across more visual or textual social networking sites.

Practical implications
The authors uncover the most effective pairings of media richness and interactivity components to trigger marketer-desired, behavioral responses. For sharing, for example, the authors show that photo-based posts are more effective on average than video-based posts. The authors also show that including an interactive call to act to encourage one type of engagement behavior has a near-universal effect in increasing all engagement behaviors.

Originality/value
This study takes two widely used concepts within the communications and advertising literatures – interactivity cues and media richness – and tests their relationship with engagement using real and actual users’ data available via Facebook Insights. This method is more robust than surveys or wall scrapping, as it mitigates Facebook’s algorithm effect. The results produce more consistent relationships than previous content marketing studies to date.
A summary of grey forecasting and relational models and its applications in marine economics and management
Authors: Xuemei Li , Cao Yun , Wang Junjie , Dang Yaoguo , Kedong Yin 
Published: October 2019

Purpose
Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.

Design/methodology/approach
This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.

Findings
The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.

Originality/value
Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.