bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fuzzy AHP-GRA approach to evaluating energy sources: a case of Turkey
Authors: Ayağ Zeki , Samanlioglu Funda 
Published: July 2019

Purpose
Since the demand for energy has dramatically increased in the countries which have fast-growing population and economy, they have faced with a critical problem of how to evaluate a set of potential energy sources (i.e. nuclear, natural gas, bio, geothermal, hydro, wind and solar) and choose the ultimate energy source for their needs. On the other hand, this critical problem turns into a multiple-criteria decision-making (MCDM) in the presence of a set of energy source alternatives and evaluation criteria. In literature, there are many MCDM methods introduced to solve for different kinds of problems. The purpose of this paper is to present an integrated approach for evaluating energy sources using fuzzy AHP and GRA, with a case for Turkey.

Design/methodology/approach
In this paper, the analytic hierarchy process (AHP) and grey relational analysis (GRA) methods are used because of their advantages for similar problems. On the other hand, due to the fact that the conventional AHP by a nine-point scale and GRA method using a scale with crisp values can be unable to handle to capture the right judgments of a decision-maker(s), to reflect the vagueness and uncertainty on the judgments of a decision-maker, the fuzzy logic is integrated with the AHP and GRA.

Findings
The contributions of the paper to the literature are given in two dimensions as follows: it presents an integrated approach for complex decision processes with subjective data or vague information; the proposed approach, the fuzzy AHP-GRA method for energy source selection, is unique for the related problem in literature. The results of the proposed model from the case of Turkey will help practitioners and experts of how to apply it to the similar problems in the field of energy management.

Research limitations/implications
In short, in this paper, an integrated approach is proposed through the fuzzy AHP and the fuzzy GRA methods. As the fuzzy AHP is used to determine the weights of evaluation criteria, the fuzzy GRA is used to rank energy source alternatives.

Practical implications
In addition, a case study for Turkey is presented to show the applicability of the proposed approach for potential practitioners who are authority in the field of energy in public and private sectors.

Social implications
On the other hand, the proposed approach, the fuzzy AHP-GRA for energy source selection can also be an intelligent tool for public and private energy companies in Turkey, as well as others in the world.

Originality/value
On the other hand, in this paper, to the best of the authors’ knowledge, the study contributes to the literature that the first time, they use the fuzzy alpha-cut AHP and GRA in fuzzy environment for energy source evaluation problem.
Sequence generation for learning: a transformation from past to future
Authors: Rasheed Fareeha , Wahid Abdul 
Published: July 2019

Purpose
The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether the learner is profiled automatically or manually; and whether the path generated is dynamic or static.

Design/methodology/approach
The search for terms learning sequence generation and E-learning produced thousands of results. The results were filtered, and a few questions were answered before including them in the review. Papers published only after 2005 were included in the review.

Findings
The findings of the paper were: most of the systems generated non-adaptive paths. Systems asked the learners to manually enter their attributes. The systems used one or a maximum of two learner attributes for path generation.

Originality/value
The review pointed out the importance and benefits of learning sequence generation systems. The problems in existing systems and future areas of research were identified which will help future researchers to pursue research in this area.
Tarzan, Jane, the baby and the boss
Authors: Snir Raphael 
Published: July 2019

Purpose
This study aims to examine the two (and perhaps the most) important outcome variables of the interface between work and family, namely, overall job performance and parental functioning, in the context of performance appraisal.

Design/methodology/approach
Each of 844 respondents (managers or self-employed who supervise workers, half of them men) evaluated a briefly portrayed employed married parent on his/her job performance and parental functioning. Male and female respondents were randomly and equally allocated to one of 16 research conditions. They evaluated an employed married parent portrayed as a mother or a father, who increased or decreased his/her weekly workhours following the mother's return from maternity leave, invested relatively high or low effort in his/her work and exhibited relatively high or low work achievements.

Findings
Parents who invest a relatively high effort in their work were evaluated as having a higher level of job performance than those who invest a relatively low effort. Parents who exhibit relatively high work achievements were evaluated as having higher levels of job performance and parental functioning than those who exhibit relatively low work achievements. Parents who increased their weekly workhours following the mother's return from maternity leave were evaluated as having a lower level of parental functioning than those who decreased their weekly workhours.

Originality/value
This is a rare study implementing a factorial design with five independent variables (parent's time investment in work following the mother's return from maternity leave, his/her relative work effort, his/her relative work achievements, parent's gender and the evaluator’s gender) never manipulated simultaneously before.
Student-led environmental management system in Chiba University
Authors: Okayama Sakiko 
Published: July 2019

Purpose
This paper aims to explain the student-led environmental management system (EMS) based on ISO14001 which Chiba University has continued for 15 years. It describes its structure “Chiba University Method”, the students’ activities and their collaboration with companies. It also analyzes the advantages and the issues. Readers can reconsider these mechanisms and results to examine whether they could introduce the student-led EMS in their own university.

Design/methodology/approach
Four critical points are explained concerning the “Chiba University Method”. The advantages are analyzed by the data and the questionnaire survey.

Findings
It has been found that student-led EMS has an effect of practical education on the students and an improvement of social evaluation on the university, as well as a reduction of environmental burdens. For students, in addition to the direct merit of obtaining credits, they receive a sense of accomplishment through gaining practical experience, thereby realizing improvements in business skills and making friends through activities. These are good incentives to participating in various activities. However, there are also problems that occur due to student-led EMS, and it is necessary for faculties to be aware and correspond with them.

Research limitations/implications
This paper is based on the experience of one Japanese University.

Social implications
As this case falls under the practical case of active learning, it is expected that other universities could also introduce this system.

Originality/value
It is rare that the students manage the EMS based on ISO14001 with educational effects included in the results. At Chiba University, moreover, students are making environmental contributions to local communities through collaboration with companies.
Illegitimate trade in the fashion industry: relevance and counterstrategies in the Italian context
Authors: D’Amato Iolanda , Belvedere Valeria , Papadimitriou Thanos 
Published: July 2019

Purpose
From a supply chain perspective, counterfeiting is only part of a wider phenomenon defined as “illegitimate trade,” which includes supply chain infiltrations, factory overruns, gray and parallel markets, retail service counterfeiting and shoplifting. Although different forms of illegitimate trade can be observed, companies address them mainly through legal action, overlooking other counterstrategies such as technology adoption, supply chain integration and communication campaigns. This paper aims to understand which illegitimate trade phenomena are the most common and damaging to high-end fashion firms, identifying the counterstrategies that companies leverage the most and assessing the effectiveness of the counterstrategies.

Design/methodology/approach
A survey was conducted to address the above-mentioned research goals. It was targeted at Italian high-end fashion companies and 112 usable questionnaires were collected.

Findings
Empirical evidence shows that the most common illegitimate trade events are pure counterfeiting and parallel/gray markets. Various forms of illegitimate trade can co-exist and are correlated, but each of them calls for a targeted bundle of countering strategies. A synergic relationship among strategies is also observed.

Originality/value
This paper addresses the issue of counterfeiting and illegitimate trade with a holistic approach, highlighting the necessity of an interfunctional approach within the company as a condition for effectively countering these problems.
Capital flows and domestic investment: new evidence from OPEC countries
Authors: Ibhagui Oyakhilome , Olawole Kolawole 
Published: July 2019

PurposeIn the past few decades, there have been phenomenal increases in capital flows to developing and emerging markets. However, a key question that has largely remained unanswered is whether the expected economic benefits have materialized. Existing studies have concentrated on the impact of capital flows on domestic investment in developing countries, emerging markets, transition economies, ECOWAS and sub-Saharan Africa, leaving an important economic bloc, OPEC. This paper aims to assess the impact of capital flows on domestic investment in OPEC countries – with a view to determining whether capital flows crowd in or crowd out domestic investment.Design/methodology/approachFor the empirical analysis, the authors used the autoregressive distributed lag (ARDL) technique.FindingsThe empirical results provide evidence that capital flows crowd out domestic investment in all the OPEC countries considered, except for Angola and Kuwait. The authors further extended the analysis to disaggregated capital flows (FDI, portfolio investment). Evidence from the different capital flows components revealed that, for most countries, the different capital flows components also crowd out domestic investment.Originality/valueTo the best of the author’s knowledge, no study has empirically addressed the effect of capital flows on domestic investment in OPEC countries. This study, therefore, constitutes an interesting empirical contribution and a novel idea in the literature.
Big Data and what it means for evaluating integrated care programmes
Authors: Kaehne Axel 
Published: July 2019

Purpose
Big Data is likely to have significant implications for the way in which services are planned, organised or delivered as well as the way in which we evaluate them. The increase in data availability creates particular challenges for evaluators in the field of integrated care and the purpose of this paper is to set out how we may usefully reframe these challenges in the longer term.

Design/methodology/approach
Using the characteristics of Big Data as defined in the literature, the paper develops a narrative around the data and research design challenges and how they influence evaluation studies in the field of care integration.

Findings
Big Data will have significant implications for how we conduct integrated care evaluations. In particular, dynamic modelling and study designs capable of accommodating new epistemic foundations for the phenomena of social organisations, such as emergence and feedback loops, are likely to be most helpful. Big Data also generates opportunities for exploratory data analysis approaches, as opposed to static model development and testing. Evaluators may find research designs useful that champion realist approaches or single-n designs.

Originality/value
This paper reflects on the emerging literature and changing practice of data generation and data use in health care. It draws on organisational theory and outlines implications of Big Data for evaluating care integration initiatives.
Resonance failure sensitivity analysis of straight-tapered assembled pipes conveying nonuniform axial fluid by active learning Kriging method
Authors: Zhao Yuzhen , Liu Wei , Guo Qing , Zhang Zijun 
Published: July 2019

Purpose
The purpose of this paper is to study the resonance failure sensitivity analysis of straight-tapered assembled pipe conveying nonuniform axial fluid by an active learning Kriging (ALK) method.

Design/methodology/approach
In this study, first, the motion equation of straight-tapered assembled pipe conveying nonuniform fluid is built. Second, the Galerkin method is used for calculating the natural frequency of assembled pipe conveying nonuniform fluid. Third, the ALK method based on expected risk function (ERF) is used to calculate the resonance failure probability and moment independent global sensitivity analysis.

Findings
The findings of this paper highlight that the eigenfrequency and critical velocity of uniform fluid-conveying pipe are less than the reality and the error is biggest in first-order natural frequency. The importance ranking of input variables affecting the resonance failure can be obtained. The importance ranking is different for a different velocity and mode number. By reducing the uncertainty of variables with a high index, the resonance failure probability can be reduced maximally.

Research limitations/implications
There are no experiments on the eigenfrequency and critical velocity. There is no experiments about natural frequency and critical velocity of straight tapered assembled pipe to verify the theory in this paper.

Originality/value
The originality of this paper lies as follows: the motion equation of straight-tapered pipe conveying nonuniform fluid is first obtained. The eigenfrequency of nonuniform fluid and uniform fluid inside the assembled pipe are compared. The resonance reliability analysis of straight-tapered assembled pipe is first proposed. From the results, it is observed that the resonance failure probability can be reduced efficiently.
Predicting crack in a beam-like structure through an over fitting verified regression model
Authors: Choudhury Sasanka , Thatoi Dhirendra Nath , Hota Jhalak , Sau Suman , Rao Mohan D. 
Published: July 2019

Purpose
The purpose of this paper is to identify the crack in beam-like structures before the complete failure or damage occurs to the structure. The beam-like structure plays an important role in modern architecture; hence, the safety of this structure is much dependent on the safety of the beam. Hence, predicting the cracks is much more important for the safety of the overall structure.

Design/methodology/approach
In the present work, the regression analysis has been carried out through LASSO and Ridge regression models. Both the statistical models have been well implemented in the detection of crack depth and crack location. A cantilever beam-like structure has been taken for the analysis in which the first three natural frequencies have been considered as the independent variable and crack location and depth is used as the dependent variable. The first three natural frequencies, f1, f2 and f3 are used as an independent variable. The crack location and crack depth are estimated though the regressor models and the accuracy are compared, to verify the correctness of the estimation.

Findings
As stated in the purpose of work, the main aim of the present work is to identify the crack parameters using an inverse technique, which will be more effective and will provide the results with less time. The data used for regression analysis are obtained from theoretical analysis and later the theoretical results are also verified through experimental analysis. The regression model developed is tested for its Bias Variance Trade-off (“Bias” – Overfitting, “variance” – generalization). The regression results have been compared with the theoretical results to check the robustness in the subsequent result section.

Originality/value
The idea is an amalgamation of existing and well-established technologies, that is aimed to achieve better performance for the given task. A regressor is trained from the data obtained through numerical simulation. The model is developed taking bias variance trade-off into consideration. This generalized model gives us very much acceptable performance.
Stories told and performed: a methodology for researching drama assessment in schools
Authors: Jacobs Rachael 
Published: July 2019

PurposeA methodology that combined ethnographies, including the ethnography of performance with narrative inquiry was used in a research project investigating the assessment of senior secondary Drama performance in Australia. The paper aims to discuss this issue.Design/methodology/approachAfter a temporal change in the research approach, it was decided that the research method needed to capture the Drama performance assessment phenomenon as it was lived and experienced.FindingsAs a result, methodological choices shifted from procedural documentation and document analysis to ethnographic observations that were able to capture the more nuanced aspects of the relationship between Drama performance and assessment, embracing tacit learning, agendas, cultures, experiences and understandings.Originality/valueThis paper reflects on the methodological dilemmas and choices made when studying artistic and aesthetic texts in the classroom, and poses considerations for future researchers conducting inquiries in aesthetically rich learning environments.
A real-time adaptive look-ahead speed control algorithm for FDM-based additive manufacturing technology with Hbot kinematic system
Authors: Qin Qin , Huang Jigang , Yao Jin 
Published: July 2019

Purpose
The purpose of this paper is to enhance the accuracy as well as efficiency of high-speed machining, avoid the speed fluctuation caused by acceleration/deceleration (ACC/DEC) and increase the smoothness of feedrate in continuous corners or curves machining. The Hbot kinematic system was analyzed and combined with fused deposition modeling-based (FDM) additive manufacturing (AM) technology. Then a real-time adaptive look-ahead speed control algorithm was proposed.

Design/methodology/approach
To validate the performance of Hbot kinematic system and the proposed speed control algorithm, the positioning accuracy of Hbot and cross structure was compared. Also, the experimental verification was conducted among FDM based 3-D printer with cross structure as well as open source speed control algorithm (FDM with cross-OS), cross structure and the proposed speed control algorithm (FDM with cross-PS) and Hbot structure, as well as the proposed speed control algorithm (FDM with Hbot-PS), respectively.

Findings
The results indicate that the Hbot kinematic system leads to the high stability of positioning accuracy due to the small motion inertia. Furthermore, the experimental verification shows that the efficiency, printing precision and surface finish of models for FDM with Hbot-PS are obviously higher than that for FDM with cross-PS as well as FDM with cross-OS, while FDM with cross-OS shows the worst performance. The contribution of Hbot kinematic system and the proposed speed control algorithm to FDM based AM technology was validated by this work.

Practical implications
The Hbot kinematic system and proposed speed control algorithm have the important implication of improving the accuracy of FDM machines, especially in the low-price range segment. Also, this work can help future system developers show a possible way of tackling the motion inertia problem.

Originality/value
The study of Hbot kinematic system and proposed algorithm are expected to advise the current research for improving the accuracy as well as the efficiency of FDM-based AM technology.
Protective effects of Gαq‐RGS2 signalling inhibitor in aminophylline induced cardiac arrhythmia
Authors: Beladiya Jayesh V. , Chaudagar Kiranj K. , Mehta Anita A. 
Published: July 2019

AbstractAn over activation of GPCR mediated Gαq dependent signalling pathway is widely associated with the development of cardiovascular abnormalities. The objective of study was to evaluate the effects of (1‐(5‐chloro‐2‐hydroxyphenyl)‐3‐(4‐(trifluoromethyl)phenyl)‐1H‐1,2,4‐triazol‐5(4H)‐one) Gαq‐RGS2 signalling inhibitor on aminophylline induced cardiac arrhythmia in rats. Rats were divided into four groups; normal rats, disease control (DC, aminophylline treated 100 mg/kg/d, i.p., 7 days), Gαq‐RGS2 signalling inhibitor (1 and 10 mg/kg/d, p.o., 7 days) treated arrhythmic rats. Gαq‐RGS2 signalling inhibitor was administered 1 hour prior to the administration of aminophylline from 1st day. At the end of study, heart rate (HR), QRS complex, QT and RR interval were measured by electrocardiogram (ECG) of anesthetized rats. Systolic and diastolic blood pressure (SBP, DBP) by invasive method, cardiac damage markers (CK‐MB, LDH) in the serum, antioxidant enzymes (SOD, catalase, glutathione) and cAMP level were measured. The treatment of Gαq‐RGS2 signalling inhibitor (10 mg/kg) significantly abolished the aminophylline induced increase of heart rate, prolongation of RR and QT interval as compared to DC rats. Gαq‐RGS2 signalling inhibitor (1 and 10 mg/kg) significantly attenuated the prolongation in QRS complex, increase of SBP, DBP and cardiac damage markers as compared to DC. Gαq‐RGS2 signalling inhibitor treatment (10 mg/kg) significantly reduced the cAMP level and increased the antioxidant enzyme level as compared to DC. Gαq‐RGS2 signalling inhibitor (10 mg/kg) showed the protective effect against the aminophylline induced cardiac arrhythmia and it might be due to improvement in cAMP level and antioxidant enzymes.