bluuebunny/crossref_metadata_2025_split huggingface dataset:
A neoteric closed loop feedback controller based on correlative-elemental curvature algorithm
Authors: Das Nipan Kumar Das , Buragohain Mrinal 
Published: June 2021

Purpose
The power framework has become a vital part in the day-to-day life and exhibits a rapid development in this current era. Due to the fact of huge power utilization, the power frameworks fall under several power transmission-related concerns. Precisely, frequency deviation has generated a huge impact during power transmission; this in turn highly reduces the power system stability as well as reliability too.

Design/methodology/approach
To boost the system’s efficacy, this study proposes a neoteric closed loop feedback controller in which a control algorithm named correlative-elemental-curvature algorithm is introduced with a constant threshold.

Findings
With the aim of mitigating frequency deviation, a stability analysis technique called Retrofit Lyapunov’s method is deployed in the controller. This would simultaneously reduce the load disturbances along with tie-line synchronization issues faced with the prior controllers. Optimization is carried out with the aid of duelist optimization algorithm, which tunes the controller parameters thereby mitigating the complexities while designing a loop feedback controller power framework.

Originality/value
The efficacy of the proposed work is assessed with the aid of metrics, such as integral absolute error, accuracy and settling time. Thus, the proposed work enhances the system reliability as well as the stability by mitigating the frequency deviation related issues and guarantees reliable power transmission.
E-health and interventional radiology in gynecology
Authors: Alghanimi Ibrahim 
Published: May 2021

Purpose
This paper aims to summarize the radiological interventions that can be used by obstetricians and gynecologists.

Design/methodology/approach
E-health systems apply in all hospital sectors in the world; interventional radiology (IR) now includes transcatheter and percutaneous techniques that can be applied to various organ systems, including the female reproductive system and pelvis. Interventional radiologists can now offer many services to obstetricians and gynecologists. With the advent of new procedures and refinement of existing techniques, there are now a number of procedures that can be used to treat both vascular and non-vascular diseases. This review summarizes the radiological interventions that can be used by obstetricians and gynecologists.

Findings
This review is intended to help gynecologists and obstetricians understand the role of IR in their specialty. Many valuable vascular and nonvascular interventional services can be provided by radiologists for both obstetric and gynecological indications. Many of these IR procedures are minimally invasive with less risk to the patients.

Originality/value
IR is now being used to treat some conditions encountered in obstetrics and gynecology, in particular, uterine leiomyomas, placenta accreta, postpartum hemorrhage and pelvic congestion syndrome. Moreover, with the help of IR, radiologists can also manage several nonvascular pathologies, including drainage of pelvic abscesses, fallopian tube recanalization, image-guided biopsy and fluid collections involving ovarian lesions. The major challenges faced when performing obstetric IR procedures are reduction of radiation exposure for the patient and fetus and preservation of fertility. This review highlights the role of IR in the treatment of various vascular and nonvascular pathologies encountered in obstetrics and gynecology.
Systemic leadership development: impact on organizational effectiveness
Authors: Douglas Stephanie , Merritt Daisha , Roberts Robin , Watkins Daryl 
Published: May 2021

Purpose
This study aims to examine the impact of leadership development programs on organizational outcomes and organizational effectiveness.

Design/methodology/approach
Using a grounded theory approach, semi-structured interviews were conducted with 15 executive leaders from aviation firms in Brazil with employees participating in a leadership development program. NVivo12 was used for coding and managing the data. Thematic analysis was performed to determine themes and categories.

Findings
The leadership development program was found to influence organizational level outcomes identified as themes of internal impact, external impact, skill development and capacity. The interviews also found that executive leaders perceived the leadership development program to impact organizational effectiveness. Connections to human capital, social capital and collective leadership were found as outcomes of the leadership development program contributing to organizational effectiveness.

Research limitations/implications
The findings are dependent upon the executive leaders’ interviews and are limited sample size. The protocol of subjective inter-coder reliability was followed supporting the credibility and dependability of the findings; however, researcher bias may still be present in qualitative studies. Generalizability outside of the Brazilian aviation context is cautioned until further studies in additional contexts and industries are completed.

Practical implications
The findings of this study support leadership development programs as impactful on organizational outcomes and effectiveness. Incorporating leadership development programs as part of human capital management strategies supports organizational effectiveness through increased collective leadership capacity, human capital development and social capital.

Originality/value
A large amount is known regarding the outcomes for individuals as a result of leadership development programs with less examination on the contribution to organizational level outcomes and organizational effectiveness. This study aids in bridging this gap.
Metaheuristic based auto-scaling for microservices in cloud environment: a new container-aware application scheduling
Authors: Sarma Subramonian Krishna 
Published: June 2021

PurposeThe cloud is a network of servers to share computing resources to run applications and data storage that offers services in various flavours, namely, infrastructure as a service, platform as a service and software as a service. The containers in the cloud are defined as “standalone and self-contained units that package software and its dependencies together”. Similar to virtual machines, the virtualization method facilitates the resource on a specific server that could be used by numerous appliances.Design/methodology/approachThis study introduces a new Dragon Levy updated squirrel algorithm (DLU-SA) for container aware application scheduling. Furthermore, the solution of optimal resource allocation is attained via defining the objective function that considers certain criteria such as “total network distance (TND), system failure (SF), balanced cluster use (BC) and threshold distance (TD)”. Eventually, the supremacy of the presented model is confirmed over existing models in terms of cost and statistical analysis.FindingsOn observing the outcomes, the total cost of an adopted model for Experimentation 1 has attained a lesser cost value, and it was 0.97%, 10.45% and 10.37% superior to traditional velocity updated grey wolf (VU-GWO), squirrel search algorithm (SSA) and dragonfly algorithm (DA) models, respectively, for mean case scenario. Especially, under best case scenario, the implemented model has revealed a minimal cost value of 761.95, whereas, the compared models such as whale random update assisted lion algorithm, VU-GWO, SSA and DA has revealed higher cost value of 761.98, 779.46, 766.62 and 766.51, respectively. Thus, the enhancement of the developed model has been validated over the existing works.Originality/valueThis paper proposes a new DLU-SA for container aware application scheduling. This is the first work that uses the DLU-SA model for optimal container resource allocation by taking into consideration of certain constraints such as TND, SF, BC and TD.
A resources gain perspective on family outcomes of proactive helping behavior
Authors: Zhou Kong , Gui Chenglin , Yin Wen-Jun , Ouyang Xi , Yuan Chunyan 
Published: May 2021

PurposeDrawing on the work-home resources (W-HR) model, this study examines the ripple effects of proactive helping behavior at work on helpers' family relationship quality at home via positive affect and work-family interpersonal capitalization, and tests the moderating role of independent self-construal in the resource spillover process.Design/methodology/approachUsing an experience sampling methodology, data was collected (N = 382) from multiple sources in five consecutive working days. Multilevel path modeling was used to examine the hypotheses.FindingsThe results indicated that proactive helping other at work can generate affective resources for helpers, which in turn triggers them to share daily work experiences and feelings with their spouses at home, and strengthens their family relationship quality. Moreover, the effects of helping others on family relationship quality were more pronounced for helpers with relatively high independent self-construal.Originality/valueThe findings explore the enrichment effects and unintended family-related distal outcomes of helping behaviors for helpers, and contributes to the W-HR model by uncovering an affective-behavioral ripple mechanism linking work and family. Finally, our results identify the boundary condition, that proactive helping behaviors are more rewarding for helpers with higher independent self-construal.
Coordinating lot sizing and integrated production and distribution scheduling with batch delivery and holding cost
Authors: Bank Maedeh , Mahdavi Mazdeh Mohammad , Heydari Mahdi , Teimoury Ebrahim 
Published: June 2021

PurposeThe aim of this paper is to present a method for finding the optimum balance between sequence-dependent setup costs, holding costs, delivery costs and delay penalties in an integrated production–distribution system with lot sizing decisions.Design/methodology/approachTwo mixed integer linear programming models and an optimality property are proposed for the problem. Since the problem is NP-hard, a genetic algorithm reinforced with a heuristic is developed for solving the model in large-scale settings. The algorithm parameters are tuned using the Taguchi method.FindingsThe results obtained on randomly generated instances reveal a performance advantage for the proposed algorithm; it is shown that lot sizing can reduce the average cost of the supply chain up to 11.8%. Furthermore, the effects of different parameters and factors of the proposed model on supply chain costs are examined through a sensitivity analysis.Originality/valueAlthough integrated production and distribution scheduling in make-to-order industries has received a great deal of attention from researchers, most researchers in this area have treated each order as a job processed in an uninterrupted time interval, and no temporary holding costs are assumed. Even among the few studies where temporary holding costs are taken into consideration, none has examined the effect of splitting an order at the production stage (lot sizing) and the possibility of reducing costs through splitting. The present study is the first to take holding costs into consideration while incorporating lot sizing decisions in the operational production and distribution problem.
Online learning of English language courses via blackboard at Saudi universities in the era of COVID-19: perception and use
Authors: Almekhlafy Sultan Saleh Ahmed 
Published: June 2021

Purpose
Due to the recent coronavirus (COVID-19) outbreak, a temporary interruption of education activities occurred all over the world. The sudden and quick shift from blended or face-to-face learning mode to the sole online learning mode affected the perceptions of students toward the Blackboard application and the usage. This study aims to investigate the perceptions of students toward the Blackboard application in the process of learning Preparatory Year (PY) English courses as the mere tool of learning and the impact of the students’ perceptions on the students’ use of Blackboard.

Design/methodology/approach
The results are based on a survey conducted with 228 of PY students: 1st level n = 126 and 2nd level n = 102 at Najran University. The data are analyzed to compare the two levels, as the students’ prior experience with Blackboard is not the same. The 2nd level students have prior experience of blended learning through Blackboard, whereas 1st level students have no prior experience of learning through Blackboard.

Findings
The data of the perceptions of both levels showed that 1st level students’ perceptions toward online learning of English via Blackboard were higher than 2nd level students. The data on the frequency of the use of the Blackboard application reflected the perceptions of students.

Research limitations/implications
The findings suggest that the students’ prior experience of e-learning via Blackboard has an impact on the students’ perceptions.

Originality/value
The findings of the study contributed to the learning through the management systems research field and online learning of English during the COVID-19 outbreak.
Human capital flight and output growth nexus: evidence from Nigeria
Authors: Adeosun Oluyemi Theophilus , Popogbe Oluwaseyi Omowunmi 
Published: May 2021

Purpose
Human capital flight from developing countries to developed nations has been rising and giving concerns to governments and scholars alike. This paper aims to explore the impact migration from Nigeria has on economic output growth by focusing on the migration rate, remittances, population growth and secondary school enrolment. This has not received adequate attention in the literature, as many papers have primarily focused on the impact of remittances on economic growth.

Design/methodology/approach
Leveraging on the macro-level approach to migration, remittances and the economy, this research considers the nexus among the human capital flight and output growth variables by using the autoregressive distributed lag (ARDL) method of analysis for time series data between 1986 and 2018.

Findings
The net migration rate from Nigeria was found from the empirical analysis to be more disadvantageous for the economy, given its negative relationship with economic growth despite the large volume of foreign incomes (remittances). It also shows that secondary school enrolment positively and significantly impacted the Nigerian growth rate in the long run.

Originality/value
This research has widened the use of variables by combining net migration rate, remittances from abroad, population growth rate and secondary school enrolment to obtain a more robust outcome with implications for research and practice.
Multi-material stereolithography using curing-on-demand printheads
Authors: Mao Huachao , Jia Wenxuan , Leung Yuen-Shan , Jin Jie , Chen Yong 
Published: June 2021

Purpose
This paper aims to present a multi-material additive manufacturing (AM) process with a newly developed curing-on-demand method to fabricate a three-dimensional (3D) object with multiple material compositions.

Design/methodology/approach
Unlike the deposition-on-demand printing method, the proposed curing-on-demand printheads use a digital light processing (DLP) projector to selectively cure a thin layer of liquid photocurable resin and then clean the residual uncured material effectively using a vacuuming and post-curing device. Each printhead can individually fabricate one type of material using digitally controlled mask image patterns. The proposed AM process can accurately deposit multiple materials in each layer by combining multiple curing-on-demand printheads together. Consequently, a three-dimensional object can be fabricated layer-by-layer using the developed curing-on-demand printing method.

Findings
Effective cleaning of uncured resin is realized with reduced coated resin whose height is in the sub-millimeter level and improved vacuum cleaning performance with the uncleaned resin less than 10 µm thick. Also, fast material swapping is achieved using the compact design of multiple printheads.

Originality/value
The proposed multi-material stereolithography (SL) process enables 3D printing components using more viscous materials and can achieve desired manufacturing characteristics, including high feature resolution, fast fabrication speed and low machine cost.
Aircraft part substitution via additive manufacturing: design, simulation, fabrication and testing
Authors: Boschetto Alberto , Bottini Luana , Cardini Valerio , Eugeni Marco , Gaudenzi Paolo , Veniali Francesco 
Published: June 2021

Purpose
This paper aims to provide a case study focused on the substitution through selective laser melting of a part typically fabricated by traditional manufacturing.

Design/methodology/approach
To exploit the additive manufacturing (AM) advantages, the retrieving of the reconfiguration part data was provided, the process strategies by means of the interchange file handling and pre and post-processing were investigated and a re-design of the part was developed. Finally, the fabricated part was tested and analyzed.

Findings
Results claimed that a reconfiguration of the manufacturing framework plays an important role at each step of the process otherwise many AM benefits can be lost. In the paper, a set of recommendations, suggestions and hints regarding the implementation of AM for part substitutions is provided.

Research limitations/implications
Many aspects of the AM adoption, such as the production cost, energy consumption, sustainability and production volume, depend upon the geometry, batch size and other impactful factors, and thus they need to be studied in a case-by-case manner.

Practical implications
The proposed approaches have the concrete aim to address industrial resources toward the maximization of AM benefits in part substituting.

Originality/value
In this paper, the substitution of a part is fully undertaken from the early data collection to the manufactured part testing providing integrated approaches for each process step.
Social responsibility or smoke screening: evidence from India
Authors: Jadiyappa Nemiraja , Parikh Bhavik , Saikia Namrata , Usman Adam 
Published: June 2021

PurposeThe purpose of this study is to examine whether the choice of a firm to spend resources on corporate social responsibility (CSR) activities is associated with its actual social impacts as measured by its energy consumption and the quality of its financial reporting. Based on legitimacy theory, the authors argue firms in India use CSR expenditures as mere smoke screens to build a positive public image.Design/methodology/approachBy using energy consumption per unit of sale as a measure of real environmental impact, the authors model firms' CSR investment behavior. Additionally, the authors use earnings management measures to examine whether CSR spenders engage in manipulating reported earnings, a practice socially responsible firms would not engage in. These hypotheses are tested using a panel data set of Indian firms for the period 2012–2014.FindingsConsistent with legitimacy theory, the authors show firms that participate in socially undesirable activities such as heavy energy consumption and accounting manipulation are more likely to pursue CSR voluntarily. Additionally, the authors find evidence suggesting firms that voluntarily engage in CSR tend to have lower firm values.Originality/valueThis study examines the social and environmental concerns of firms that invest in CSR, especially in an emerging market context. The findings help understand the motivation for CSR behavior of corporate firms and may well explain the observed negative relationship between firm value and voluntary CSR spending observed in many emerging market contexts, especially in India.
Innovation on the choice of debt financing source: evidence from innovative firms
Authors: Na HyunJun 
Published: June 2021

PurposeThe purpose of this paper is to investigate how the innovative firm’s proprietary information has an impact on its debt financing preference. This study also examines the impact of industry-level competition on the debt financing orders and investigates how two exogenous shocks impacted on innovative firms’ financing policies.Design/methodology/approachThis paper uses the three types of debt data, including bonds, private debt placements and bank loans and patent application data, in the USA from 1987–2008. The number of patents applications and industry-level competition are used as proxies for a firm’s innovation and industry-level sensitivity. In addition, to minimize endogenous concern, this study uses the propensity score matching analysis and difference-in-differences.FindingsThe patents are the primary determinants for innovative firms to choose the debt types. The paper shows that innovative firms have the debt preference order – public debt, private placement and bank loans. However, as competition increases, innovative firms devise the order reverse. Finally, the paper provides evidence that the American Inventor’s Protection Act (AIPA) and the tech bubble crash made investors depend more on firms with more patents.Originality/valueThis paper is the first to study the impact of the AIPA on innovative firms’ financial policies using the propensity score matching analysis. The findings imply that both patents and industry-level competition are important factors to understand the capital structures for innovative firms.
Volatility transmission across international markets amid COVID 19 pandemic
Authors: Ajmi Hechem , Arfaoui Nadia , Saci Karima 
Published: June 2021

Purpose
This paper aims to investigate the volatility transmission across stocks, gold and crude oil markets before and during the novel coronavirus (COVID-19) crisis.

Design/methodology/approach
A multivariate vector autoregression (VAR)-Baba, Engle, Kraft and Kroner generalized autoregressive conditional heteroskedasticity model (BEKK-GARCH) is used to assess volatility transmission across the examined markets. The sample is divided as follows. The first period ranging from 02/01/2019 to 10/03/2020 defines the pre-COVID-19 crisis. The second period is from 11/03/2020 to 05/10/2020, representing the COVID-19 crisis period. Then, a robustness test is used using exponential GARCH models after including an exogenous variable capturing the growth of COVID-19 confirmed death cases worldwide with the aim to test the accuracy of the VAR-BEKK-GARCH estimated results.

Findings
Results indicate that the interconnectedness among the examined market has been intensified during the COVID-19 crisis, proving the lack of hedging opportunities. It is also found that stocks and Gold markets lead the crude oil market especially during the COVID-19 crisis, which explains the freefall of the crude oil price during the health crisis. Similarly, results show that Gold is most likely to act as a diversifier rather than a hedging tool during the current health crisis.

Originality/value
Although the recent studies in the field focused on analyzing the relationships between different markets during the first quarter of 2020, this study considers a larger data set with the aim to assess the volatility transmission across the examined international markets Amid the COVID-19 crisis, while it shows the most significant impact on various financial markets compared to other diseases.