bluuebunny/crossref_metadata_2025_split huggingface dataset:
What do we know about zakat literature? A bibliometric review
Authors: Alshater Muneer M. , Saad Ram Al Jaffri , Abd. Wahab Norazlina , Saba Irum 
Published: June 2021

Purpose
This paper aims to develop a meaningful single-source reference for Islamic economics and finance scholars concerning zakat intellectual structure published in journals indexed by the Scopus database.

Design/methodology/approach
The bibliometric method is used to describe and analyze the evolution of publication structure and its various co-relations such as co-citation, co-authorship and bibliographical coupling.

Findings
The authors discuss the influential and conceptual aspects of the published literature on zakat. An interesting finding is that few papers have received more than 50 citations. The analysis revealed that the Journal of Islamic Accounting and Business Research is the most cited source. Nevertheless, the list of the eight most cited papers reflects that research in this field is still dearth. Further, the authors find that zakat is discussed within the context of religion, its institutional framework, its role to eradicate poverty and distribution management of zakat. The authors also identify and present 14 research directions that will further stimulate scholarly work in the zakat field.

Research limitations/implications
The study confines on English papers and reviews published in journals indexed by the Scopus database only; hence, the study is representative of the moderate and high-quality papers published in this area of knowledge.

Practical implications
Researchers envision that this bibliometric study will complement meta-analysis and qualitative structured literature reviews as a method of reviewing and evaluating the scientific literature of this study area; thus, this may help researchers for futuristic research directions.

Originality/value
To the best of the authors’ knowledge, this paper is the first to tackle the zakat area from a bibliometric aspect. The authors believe that this will help scholars and researchers to stand on firm bases regarding the scientific development of this area of study.
India’s new education policy: a case of indigenous ingenuity contributing to the global knowledge economy?
Authors: Varma Arup , Patel Parth , Prikshat Verma , Hota Deepak , Pereira Vijay 
Published: June 2021

Purpose
Given that the policy is rather comprehensive and detailed, this paper aims to identify some of the key features and discuss the mechanisms by which the benefits of the policy might reach all sections of society.

Design/methodology/approach
In this paper, we analyse India’s new education policy (NEP) and discuss how it might impact education and employment in India and the neighbourhood.

Findings
This paper believes that the NEP (2020) is likely to alter the educational landscape of India and make education accessible to all sections of society. In addition, the impact of this bill will be felt in the Indian workplace.

Research limitations/implications
This paper would urge the policymakers, educationists and corporate leaders to conduct research on the benefits of the NEP in two phases. In the short run, they could study the implementation – in the long run, all three stakeholders should track the changes in the quality of graduates being produced as a result of the new policy.

Originality/value
This is the first known critique of the NEP (2020) written by five Indian-origin academics and practitioners, offering insight into the policy for scholars and practitioners.
Dynamic game analysis on pricing and service strategy in a retailer-led supply chain with risk attitudes and free-ride effect
Authors: Ma Junhai , Hong Yalan 
Published: June 2021

PurposeThe convenience of online shopping enables the manufacturer to develop direct channels. To counter manufacturer encroachment, the retailer tends to provide presale service to attract more customers. Meanwhile, the service provided by the retailer also has a positive impact on the manufacturer's sale volume, which is usually called the showrooming effect or free-ride. The purpose of this paper is to explore the dynamic game of pricing and service strategy in a dual-channel supply chain with risk attitudes and free-ride.Design/methodology/approachThis paper considers the risk attitude, characterized by mean-variance theory. First, the optimal pricing and service strategy of two static models under two scenarios are derived. Second, dynamic games are then considered to explore the evolution of the decisions. The classical optimization method is used to solve the problem, and numerical experiments are done to analyze the complex characteristic of the system.FindingsThe result shows that the retailer is willing to provide a higher level of service if his risk preference is higher. The offline retail price and online retail price are positively related to the retailer's risk preference. Besides, the free-ride behavior can reduce the offline retail price and the level of service provided by the retailer. Furthermore, the study indicates that the system is more likely to enter chaos if the retailer's risk preference is higher. Additionally, consumers' service sensitivity and cost coefficient affect the stability of the system.Originality/valueThe study provides a different perspective on supply chain management considering risk attitudes and free-ride The findings of the study can offer theoretical and practical guidance for enterprises to choose adjustment measures according to their risk preference.
Empowerment in call centers and customer satisfaction
Authors: Proenca Teresa , Rodrigues Helena 
Published: June 2021

PurposeCall center is a large and growing sector worldwide and is facing important human resource management (HRM) and service challenges. The purpose of this study is to analyze the impact of structural empowerment (SE) and psychological empowerment (PE) on customer satisfaction (CS) through employee job satisfaction (JS) at a call center in Portugal.Design/methodology/approachData were collected by means of a survey handed over personally to 267 employees at the call center of a telecommunication company. This was then linked to their respective net promoter score (CS) provided by the call center. Confirmatory factor analysis and structural equation modeling were used as analytical tools.FindingsSE affects PE, and both have a positive impact on JS. Empowerment impacts CS: SE positively affects CS mediated by PE; and PE affects CS mediated by JS.Practical implicationsThis study emphasizes the importance of the use of organizational practices of SE in call centers to achieve two important organizational outcomes: employee JS and CS.Originality/valueThis study tests a process model involving two domains, HRM (employee side) and service delivery (customer side), which are traditionally dealt with separately in the context of call centers. This helps to understand how HRM polices are connected to CS. Although some of these relationships have been studied separately in different contexts, the research offers a strong methodological design by linking employee perceptions of empowerment with data provided by the firm on CS.
Exploring the potentials of clawbacks to check earnings management practices and enhance financial reporting quality: perceptions from the UAE
Authors: Mahmood Kahkashan , Barghathi Yasser , Lasyoud Alhashmi Aboubaker 
Published: June 2021

Purpose
For investors to wholeheartedly entrust their finances to the supposed executives, there is the need to set up policies to checkmate the excesses of such executives, hence clawback policy. This study aims to explore the perceptions of professionals regarding the impact of clawback provisions on earnings management (EM) and financial reporting quality in the context of the United Arab Emirates (UAE).

Design/methodology/approach
The application of a qualitative approach in an EM is of great significance in this study. For convenience, perceptions of the professionals were collected through semi-structured face-to-face interviews, internet forums and telephone conversations from which the data were initially transcribed and analyzed using thematic analysis.

Findings
The findings of the study indicate that clawbacks will have a significant impact on EM and financial reporting quality, and apart from this, other firm-level factors have also been supporting clawbacks.

Practical implications
EM has been a widespread practice; this research may potentially assist directors and regulatory bodies to comprehend factors that should be considered to reduce it. It may also provide practical insights from professionals regarding clawbacks and their bearing on EM and the quality of financial information from an emerging economy perspective.

Originality/value
A significant gap in the contemporary literature regarding the impact of clawback provisions on EM and financial reporting quality has been filed by this work, in the context of the UAE economy. Consequently, it provides a great insight into the effect of clawback in a business setting and how it can help checkmate the excesses of company executives.
Utilizing DNase I and graphene oxide modified magnetic nanoparticles for sensing PD-L1 in human plasma
Authors: He Xudong , Yang GuangYi , Yang E. , Zhang Moli , Luo Dan , Liu Jingjian , Zhao Chongnan , Chen Qinhua , Ran Fengying 
Published: June 2021

Purpose
Based on DNase I and reduced graphene oxide (rGO)-magnetic silicon microspheres (MNPS), a highly sensitive and selective fluorescent probe for the detection of PD-L1 was developed.

Design/methodology/approach
Here °C we present a feasibility of biosensor to detection of PD-L1 in lung tumors plasma. In the absence of PD-L1°C the PD-L1 aptamer is absorbed on the surface of graphene oxide modified magnetic nanoparticles °8rGO-MNPS°9 and leading to effective fluorescence quenching. Upon adding PD-L1°C the aptamer sequences could be specifically recognized by PD-L1 and the aptamer/PD-L1 complex is formed°C resulting in the recovery of quenched fluorescence.

Findings
This sensor can detect PD-L1 with a linear range from 100 pg mL−1 to 100 ng mL−1, and a detection limit of 10 pg•m−1 was achieved.

Originality/value
This method provides an easy and sensitive method for the detection of PD-L1 and will be beneficial to the early diagnosis and prognosis of tumors.
Experimental measurements of the shear force on surface mount components simulating the wave soldering process
Authors: Carvalho Violeta , Arcipreste Bruno , Soares Delfim , Ribas Luís , Rodrigues Nelson , Teixeira Senhorinha , Teixeira José C. 
Published: June 2021

Purpose
This study aims to determine the minimum force required to pull out a surface mount component in printed circuit boards (PCBs) during the wave soldering process through both experimental and numerical procedures.

Design/methodology/approach
An efficient experimental technique was proposed to determine the minimum force required to pull out a surface mount component in PCBs during the wave soldering process.

Findings
The results showed that the pullout force is approximately 0.4 N. Comparing this value with the simulated force exerted by the solder wave on the component (

≅ 0.001158 N), it can be concluded that the solder wave does not exert sufficient force to remove a component.

Originality/value
This study provides a deep understanding of the wave soldering process regarding the component pullout, a critical issue that usually occurs in the microelectronics industry during this soldering process. By applying both accurate experimental and numerical approaches, this study showed that more tests are needed to evaluate the main cause of this problem, as well as new insights were provided into the depositing process of glue dots on PCBs.
Sentiment analysis and sarcasm detection from social network to train health-care professionals
Authors: Godara Jyoti , Aron Rajni , Shabaz Mohammad 
Published: June 2021

Purpose
Sentiment analysis has observed a nascent interest over the past decade in the field of social media analytics. With major advances in the volume, rationality and veracity of social networking data, the misunderstanding, uncertainty and inaccuracy within the data have multiplied. In the textual data, the location of sarcasm is a challenging task. It is a different way of expressing sentiments, in which people write or says something different than what they actually intended to. So, the researchers are showing interest to develop various techniques for the detection of sarcasm in the texts to boost the performance of sentiment analysis. This paper aims to overview the sentiment analysis, sarcasm and related work for sarcasm detection. Further, this paper provides training to health-care professionals to make the decision on the patient’s sentiments.

Design/methodology/approach
This paper has compared the performance of five different classifiers – support vector machine, naïve Bayes classifier, decision tree classifier, AdaBoost classifier and K-nearest neighbour on the Twitter data set.

Findings
This paper has observed that naïve Bayes has performed the best having the highest accuracy of 61.18%, and decision tree performed the worst with an accuracy of 54.27%. Accuracy of AdaBoost, K-nearest neighbour and support vector machine measured were 56.13%, 54.81% and 59.55%, respectively.

Originality/value
This research work is original.
Analysis of Hiemenz flow of Reiner-Rivlin fluid over a stretching/shrinking sheet
Authors: Sarkar Golam Mortuja , Sarkar Suman , Sahoo Bikash 
Published: June 2021

Purpose
This paper aims to theoretically and numerically investigate the steady two-dimensional (2D) Hiemenz flow with heat transfer of Reiner-Rivlin fluid over a linearly stretching/shrinking sheet.

Design/methodology/approach
The Navier–Stokes equations are transformed into self-similar equations using appropriate similarity transformations and then solved numerically by using shooting technique. A simple but effective mathematical analysis has been used to prove the existence of a solution for stretching case (λ> 0). Moreover, an attempt has been laid to carry the asymptotic solution behavior for large stretching. The obtained asymptotic solutions are compared with direct numerical solutions, and the comparison is quite remarkable.

Findings
It is observed that the self-similar equations exhibit dual solutions within the range [λc, −1] of shrinking parameter λ, where λc is the turning point from where the dual solutions bifurcate. Unique solution is found for all stretching case (λ > 0). It is noticed that the effects of cross-viscous parameter L and shrinking parameter λ on velocity and thermal fields show opposite character in the dual solution branches. Thus, a linear temporal stability analysis is performed to determine the basic feasible solution. The stability analysis is based on the sign of the smallest eigenvalue, where positive or negative sign leading to a stable or unstable solution. The stability analysis reveals that the first solution is stable that describes the main flow. Increase in cross-viscous parameter L resulting in a significant increment in skin friction coefficient, local Nusselt number and dual solutions domain.

Originality/value
This work’s originality is to examine the combined effects of cross-viscous parameter and stretching/shrinking parameter on skin friction coefficient, local Nusselt number, velocity and temperature profiles of Hiemenz flow over a stretching/shrinking sheet. Although many studies on viscous fluid and nanofluid have been investigated in this field, there are still limited discoveries on non-Newtonian fluids. The obtained results can be used as a benchmark for future studies of higher-grade non-Newtonian flows with several physical aspects. All the generated results are claimed to be novel and have not been published elsewhere.
Implementation of the QoS framework using fog computing to predict COVID-19 disease at early stage
Authors: Singh Prabhdeep , Kaur Rajbir 
Published: June 2021

Purpose
The purpose of this paper is to provide more accurate structure that allows the estimation of coronavirus (COVID-19) at a very early stage with ultra-low latency. The machine learning algorithms are used to evaluate the past medical details of the patients and forecast COVID-19 positive cases, which can aid in lowering costs and distinctively enhance the standard of treatment at hospitals.

Design/methodology/approach
In this paper, artificial intelligence (AI) and cloud/fog computing are integrated to strengthen COVID-19 patient prediction. A delay-sensitive efficient framework for the prediction of COVID-19 at an early stage is proposed. A novel similarity measure-based random forest classifier is proposed to increase the efficiency of the framework.

Findings
The performance of the framework is checked with various quality of service parameters such as delay, network usage, RAM usages and energy consumption, whereas classification accuracy, recall, precision, kappa static and root mean square error is used for the proposed classifier. Results show the effectiveness of the proposed framework.

Originality/value
AI and cloud/fog computing are integrated to strengthen COVID-19 patient prediction. A novel similarity measure-based random forest classifier with more than 80% accuracy is proposed to increase the efficiency of the framework.
Integrated MOORA-ELECTRE approach for solving multi-criteria decision problem
Authors: R. Ranjith , Vimalkumar S. Nalin 
Published: June 2021

Purpose
The most difficult tasks in the design and development of products for diverse engineering applications were the selection of suitable materials. Choice of inappropriate process variables leads to poor performance, which increases the cost of the product. The selection of the best option of available alternatives is important to improve the performance and productivity of the manufacturing enterprises.

Design/methodology/approach
The paper aims to develop Hybrid Multi-Criteria Decision Making (HMCDM) by integrating two potential optimization techniques Elimination Et Choix Traduisant la REalité and multi-objective optimization on the basis of ratio analysis. The weight of the criteria was calculated using the critic weight method.

Findings
The efficiency and flexibility of the proposed HMCDM technique were illustrated and validated by two examples. In the first case, the best electrode material among the five available alternatives was selected for the electrical discharge machining of AZ91/B4Cp magnesium composites. In the second case, the optimum weight percentage of composites providing the best tribological properties was chosen.

Originality/value
It was noted that the HMCDM methodology was quite simple to comprehend, easy to apply and provided reliable rankings of the material alternatives. The proposed hybrid algorithm is suitable for product optimization as well as design optimization.
Facilitation and competition shape a geographical mosaic of flower colour polymorphisms
Authors: Coetzee Anina , Seymour Colleen L. , Spottiswoode Claire N. 
Published: June 2021

Abstract

Flower colour differs dramatically between populations for some plant species; yet, we know little about what drives this variation. Such polymorphisms can be influenced by plant–pollinator interactions, but whether they are also influenced by pollinator‐mediated plant–plant interactions is unknown.

We test whether flower colour polymorphisms can arise through convergence (facilitation) or divergence (competition) of flower phenotypes resulting from plant–plant interactions mediated by the shared, and only, pollinator (orange‐breasted sunbird) of 10 Erica communities in South Africa.

Sunbird visitation rates to the less‐preferred Erica species in communities increased with colour similarity to the most‐visited species, suggesting that polymorphisms can be maintained by selection for colour convergence within communities, which promotes shared signals through rewarding mimicry (i.e. facilitation).

Colour similarity was lowest when risk of reproductive interference was greatest: that is, when reproductive morphology (stigma–anther distance) and flowering phenology was most similar, and when floral density differed greatly between species. This implies that polymorphisms can also be maintained by selection for colour divergence, since this promotes assortative pollinator foraging (i.e. competition).

Different populations of a species may experience opposite selective pressures, depending on their community context. This is the first evidence that a geographic mosaic of plant–plant pollination interactions could maintain colour polymorphisms in congeneric species sharing a single pollinator.

A free Plain Language Summary can be found within the Supporting Information of this article.
Analyzing the outcomes of skeletal trauma within a forensic population: Potential issues and implications in inferential modeling of blunt force trauma
Authors: Dempsey Nicholas , Bassed Richard , Blau Soren 
Published: June 2021

AbstractAnalyzing complex skeletal trauma can present a challenge for forensic practitioners to reliably determine the causes and circumstances of traumatic injury. The forensic value of skeletal fracture pattern analysis can be diminished due to obscuration and similarity between injuries associated with various impact mechanisms (e.g., vertical vs horizontal blunt force) and can provide issues when questions arise surrounding circumstances of traumatic injuries. Using the Python coding language, code was written that segments traumatized regions of interest from post‐mortem computed tomography (PMCT) scans, allowing the user to calculate percentage of fragmentation in the context of extreme trauma events. Using cases of known trauma which resulted in fragmentation of the femur, the objective was to assess if there were statistical differences in the fragmentation resulting from horizontal pedestrian motor vehicle impacts (PMVIs; n = 44) compared to vertical high impact falls (>3 m; n = 41). Results indicated that percentage differences between the PMVI group and high impact falls group were statistically significant. Although it was possible to develop a standardized method that records fragmentation, and results were significant in distinguishing between the two groups, the outcomes of the data follow an exponential distribution which has implications for how skeletal trauma is modeled.