bluuebunny/crossref_metadata_2025_split huggingface dataset:
What drives research in higher education? An Indian context
Authors: Saini Damini , Chaudhary Narendra Singh 
Published: April 2019

PurposeThe purpose of this paper to explore the factors that act as motivators or demotivators from the perspective of academics in higher educational institutes, especially in the management context.Design/methodology/approachThe qualitative research methods were employed in this study, which involved in-depth interviews via semi-structured interviews for the collection of data because of little or none of it has been conducted. Qualitative study consisted a naturalistic approach that provided the opportunity to study things in their natural settings, attempting to make sense of and to understand phenomena in terms of the meanings people bring to them.FindingsThe study highlighted the motivational and demotivational elements associated with participation in research activity. The following research study found that mostly the motivating factors are centered upon individual, e.g., career growth, whereas the demotivating factors are majorly extrinsic, e.g., mandate policy and framework.Research limitations/implicationsThe generalization of this study’s results to circumstances in other parts of the country may not be possible because the target population comprised of the academics working in the institutes of NCR region of India. Further in order to improve the possibility of generalizing the study can be conducted to find differences in relation to the organizations for eg., private and public institutes in higher education.Originality/valueThe study will help the regulatory authorities and employers in higher education to revisit their policy frameworks and come out with the strategies to uplift the motivation level of the teachers to conduct academic research in the fields of their interests. The study will also help to gain deeper insights into the factors that motivate and demotivate teachers to get involved in academic research.
Brand cultural symbolism, brand authenticity, and consumer well-being: the moderating role of cultural involvement
Authors: Jian Yufan , Zhou Zhimin , Zhou Nan 
Published: April 2019

PurposeThis paper aims to improve knowledge regarding the complicated relationship among brand cultural symbolism, consumer cultural involvement, brand authenticity and consumer well-being. Although some literature has mentioned the relationship between the above concepts, these relationships have not been confirmed by empirical studies.Design/methodology/approachBased on the self-determination theory and the authenticity theory, a causal model of brand cultural symbolism, consumers’ enduring cultural involvement, brand authenticity and consumer well-being is developed. The structural equation model and multiple regressions are used to test the hypothesis. The primary data are based on an online survey conducted in China (N= 533). A total of six brands from the USA, France and China were selected as study samples.FindingsThe data reveal that brand cultural symbolism has a positive relationship with brand authenticity and consumer well-being; brand authenticity partially mediates the relationship between brand cultural symbolism and consumer well-being; and find a weakening effect of consumers’ enduring cultural involvement on the relationship between brand cultural symbolism and brand authenticity.Research limitations/implicationsThe weakening effect of consumers’ enduring cultural involvement on the relationship between brand cultural symbols and brand authenticity should be further verified through experiments and the model should be tested in different cultural backgrounds from a cross-cultural perspective.Practical implicationsThe present study offers novel insights for brand managers by highlighting brand authenticity as the fundamental principle that explains the effect of cultural symbolism of brands, consumers’ enduring cultural involvement, as well aseudaimonicand hedonic well-being.Originality/valueThe findings suggest that cultural significance of a brand is closely related to brand authenticity and consumer well-being; however, on consumers with a highly enduring cultural involvement, the effect of brand culture symbolism and brand authenticity is weakened. This is an interesting finding because in this case, consumers may measure brand authenticity more based on the brand actual behavior (e.g. brand non-commercial tendency and brand social responsibility) rather than the symbolic image.
Production and maintenance strategies for parallel machines with load transfer in case of failure
Authors: Schutz Jérémie , Chelbi Anis , Rezg Nidhal , Ben Salem Safa 
Published: April 2019

PurposeThe purpose of this paper is to deal with the problem of integration of production and maintenance policies. In this context, the authors consider production systems made of parallel machines producing a single product over a finite horizon made of equal periods for which a forecasted demand is known. The authors investigate the impact of switching production in case of failure of any given machine.Design/methodology/approachA mathematical model is first developed to find an optimal production plan which minimizes the average total storage, shortage and production costs. Then, using this optimal production plan and taking into account the influence of the production rate on the degradation of each machine, optimal preventive maintenance (PM) policies are proposed for the situations with and without switching.FindingsOptimal production rates are determined for each production period and for each machine. Optimal PM periods are also computed for each machine.Practical implicationsUsually, in manufacturing systems, the production rate of a machine influences its failure rate. In case a machine fails, it takes a random time to repair it during which production is lost. The paper attempts to propose a switching policy (SP) according to which the lost production is compensated by all the other machines. The effects of the SP coupled with the PM strategy are shown through a numerical example.Originality/valueContrarily to previous works, the authors consider more realistic settings with a non-negligible random time for repairing failed machines. In order to compensate the lost production during the repair of a failed machine, a SP is proposed to transfer the load uniformly to all the other machines. As a result, those machines will produce at a higher production rate and will consequently have their failure rate increased. It will therefore be essential to determine an optimal PM schedule knowing that durations of these activities are not negligible. It is shown that the simultaneous implementation of periodic PM and load transfer in case of failure is the most economical integrated strategy.
Perceived justice and CSR after service recovery
Authors: La Suna , Choi Beomjoon 
Published: April 2019

PurposeThe purpose of this paper is to examine the relationships between perceived justice and perceived corporate social responsibility (CSR) and the impact of perceived justice and CSR perceptions on customers’ behavioral responses, such as satisfaction and repatronage intention after service recovery. The authors also investigate the moderating role of service failure severity in the relationship between perceived justice and perceived CSR.Design/methodology/approachThe data were collected using individually completed questionnaires. The proposed model was tested using structural equation modeling, and the moderation effects of failure severity in the relationship between perceived justice and perceived CSR were analyzed using stepwise multiple regression models.FindingsThe results suggest a path from satisfaction to CSR perceptions, which indicates that the link between CSR perceptions and satisfaction is reversed in the context of service recovery. The authors further reveal recovery satisfaction in two ways: It has a direct influence on repatronage intentions as well as an indirect influence via perceived CSR. Finally, the results demonstrate that the severity of a service failure intensifies the impact of distributive and procedural justice perceptions on perceived CSR, and perceived CSR serves as a partial mediator in the path from recovery satisfaction to repatronage intentions.Research limitations/implicationsThe results demonstrate that perceived justice of service recovery affects perceived CSR after a service failure and that the severity of a service failure moderates the impact of justice perceptions on perceived CSR. However, the possibility of intercausal relationships among distributive, procedural and interactional justice may need to be further explored in future research.Practical implicationsGiven that the impact of distributive and procedural justice on CSR perceptions has become more critical as the severity of service failure increases, companies should prioritize allocating a fair amount of monetary compensation in a timely manner, particularly for those who experience a severe service failure.Originality/valueThe authors propose a model of perceived justice – perceived CSR – repatronage intentions within the service recovery context in an attempt to deepen the understanding of the antecedents of repatronage intention and the relationship between repatronage intention and recovery satisfaction following service recovery encounters by introducing perceived justice and CSR. Moreover, the authors discover the moderating effect of service failure severity on the relationship between justice perceptions and perceived CSR.
The impact of information technology and communication systems on the agility of supply chain management systems
Authors: Dehgani Roya , Jafari Navimipour Nima 
Published: April 2019

PurposeThe impact of information technology (IT) on the agility of supply chain management (SCM) systems is very noticeable in the business world nowadays. Competition and constant changes, including product/technological innovations, decreasing product lifestyles and product proliferation, create pressure that affects the business environment. Organizations are required for answering the changes in the market to gain a competitive advantage and business success. The organizations are able to answer to unexpected market changes through supply chain market, and these changes are converted to business opportunities. Using IT to achieve the agility of SCM is one of the important factors to help the organizations. Therefore, the adoption of IT and its efficient implementation can improve the cooperation between supply chain agility through the rapid transfer, the distribution of accurate information and the use of information. This paper aims to investigate the impact of IT on the agility of SCM.Design/methodology/approachA total of 120 employees of the Golasal firm are involved in collecting data using a questionnaire. Measurements were performed in all questionnaires using a five-point Likert scale. The causal model is evaluated by structural equationmodeling technique, which is used to examine the reliability and validity of the model.FindingsThe results have shown that IT has positive influences on the agility of SCM systems. In addition, the obtained results have shown that four variables, namely, IT skills and knowledge, IT-based systems integration, IT infrastructure and design of global position system and geographic information systems, affect the agility of SCM systems.Originality/valueIn this paper, the agility of SCM systems is pointed out and the approach to resolve the problem is applied into a practical example. The presented model provides a complete framework to examine the impact of IT on the agility of SCM systems.
Sparse Bayesian linearized amplitude‐versus‐angle inversion
Authors: Mollajan Amir , Memarian Hossein , Quintal Beatriz 
Published: April 2019

ABSTRACTThe technique of seismic amplitude‐versus‐angle inversion has been widely used to estimate lithology and fluid properties in seismic exploration. The amplitude‐versus‐angle inversion problem is intrinsically ill‐posed and generally stabilized by the use of L2‐norm regularization methods but with drawback of smoothing important boundaries between adjacent layers. In this study, we propose a sparse Bayesian linearized solution for amplitude‐versus‐angle inversion problem to preserve the sharp geological interfaces. In this regard,a prioriconstraint term with two regularization functions is presented: the sparse constraint regularization and the low‐frequency model information. In addition, to obtain high‐resolution reflectivity estimation, the model parameters decorrelation technique combined with dipole decomposition method is employed. We validate the applicability of the presented method by both synthetic and real seismic data from the Gulf of Mexico. The accuracy improvement of the presented method is also confirmed by comparing the results with the commonly used Bayesian linearized amplitude‐versus‐angle inversion.
Total and added sugars consumption in Argentina: Their contribution to daily energy intake. Results from Latin American Study of Nutrition and Health (ELANS)
Authors: Kovalskys Irina , Cavagnari Brian M. , Favieri Andrea , Zonis Luciana , Guajardo Viviana , Gerardi Alejandro , Fisberg Mauro 
Published: April 2019

AimThe aim of the present study is to determine the intake of total sugars (TS) and added sugars (AS) in Argentina based on the local data of the Latin American Study of Nutrition and Health (ELANS).MethodsThis is a cross‐sectional study of a representative sample of the urban Argentine population (n = 1266). The sample was stratified by age group (15–65 years), gender, geographic region and socioeconomic level (SEL). TS and AS intake were obtained by two 24‐hour recalls (R24) and analysed using the Nutrition Data System for Research Software 2013.ResultsOn average, TS consumption in Argentina was 114.3 g/day, accounting for 39.8% of the total carbohydrate intake and 20.6% total energy (TE) intake. Overall, 77.2% of the TS intake consisted of AS (90.4 g/day), contributing to 30.4% of total carbohydrate intake and 15.9%TE. Men consume more TS and AS (in g/day), with no difference in the AS %TE between men and women. The consumption of sugars decreased with age, with adolescents consuming more AS and older adults more intrinsic sugars. The intake of AS was higher in low SEL.ConclusionsIn Argentina, the intake of AS was 50% above the recommendations. Younger and socially vulnerable people are at higher risk of excessive intake.
Progress towards universal health coverage in the context of rheumatic diseases in India
Authors: Ranjan Alok , Thiagarajan Sundararaman , Garg Samir , Danda Debashish 
Published: April 2019

AbstractAimThis study aims to measure current situation with regard to access and financial protection towards healthcare for rheumatic diseases (RDs) in India.MethodThe first part of this study is quantitative, and uses the data generated by the 71st Round of National Sample Survey 2014, which measured self‐reported morbidity, choice of provider and utilization of services and out of pocket expenditure (OOPE) incurred on healthcare services in a sample of 65 932 households and 333 104 individuals from all across India. The second qualitative part of the study was done in one sample district to understand the barriers to access and financial protection.Results3.5% of all hospitalizations in the preceding one year and 9.9% of all ambulatory care in the preceding 15 days of this study period were due to RDs. Cost of care for RDs was three times higher in private sector. Cost on medicines comprised the largest share in both sectors. 54% of the households faced catastrophic health expenditure at 10% threshold (CHE‐10) and this was nine times higher in private provisioning (OR: 8.8, CI: 6.8‐11.4). 24% of the households had to borrow or sell household assets to meet the hospitalization expenditure. Insurance had marginal impact and it did not help in preventing household from facing CHE‐10 for the lowermost three economic quintiles. There was significant unmet health care needs and lack of continuity of care of RDs in India.ConclusionAddressing the gaps in access and financial protection for patients with RDs need greater emphasis in policy as well as implementation, if the country has to achieve Universal Health Coverage.
Comparative mitochondrial proteomic analysis of human large cell lung cancer cell lines with different metastasis potential
Authors: Liu Zhenkun , Xu Song , Li Lu , Zhong Xiaorong , Chen Chun , Fan Yaguang , Shen Wang , Zu Lingling , Xue Feng , Wang Min , Zhou Qinghua 
Published: April 2019

BackgroundLung cancer is a highly aggressive cancer with a poor prognosis and is associated with distant metastasis; however, there are no clinically recognized biomarkers for the early diagnosis and prediction of lung cancer metastasis. We sought to identify the differential mitochondrial protein profiles and understand the molecular mechanisms governing lung cancer metastasis.MethodsMitochondrial proteomic analysis was performed to screen and identify the differential mitochondrial protein profiles between human large cell lung cancer cell lines with high (L‐9981) and low (NL‐9980) metastatic potential by two‐dimensional differential gel electrophoresis. Western blot was used to validate the differential mitochondrial proteins from the two cells. Bioinformatic proteome analysis was performed using the Mascot search engine and messenger RNA expression of the 37 genes of the differential mitochondrial proteins were detected by real‐time PCR.ResultsTwo hundred and seventeen mitochondrial proteins were differentially expressed between L‐9981 and NL‐9980 cells (P < 0.05). Sixty‐four analyzed proteins were identified by matrix‐assisted laser desorption/ionization‐time of flight mass spectrometry coupled with database interrogation. Ontology analysis revealed that these proteins were mainly involved in the regulation of translation, amino acid metabolism, tricarboxylic acid cycle, cancer invasion and metastasis, oxidative phosphorylation, intracellular signaling pathway, cell cycle, and apoptosis.ConclusionOur results suggest that the incorporation of more samples and new datasets will permit the definition of a collection of proteins as potential biomarkers for the prediction and diagnosis of lung cancer metastasis.
Use of RNase H‐dependent PCR for discrimination and detection of closely related species from environmental DNA
Authors: Rodgers Torrey W. , Olson John R. , Mock Karen E. 
Published: April 2019

Abstract

Species‐specific, probe‐based quantitative PCR (qPCR) assays are now commonly used to detect aquatic species from environmental DNA. However, probe‐based qPCR alone does not always provide the specificity needed to distinguish closely related, congeneric species, which may result in amplification of non‐target DNA, causing false positives from eDNA samples.

Here, we developed species‐specific qPCR assays using RNase H‐dependent PCR (rhPCR) for detecting closely related fish species from environmental DNA.

We found that rhPCR allowed us to achieve specificity that was not possible with TaqMan® qPCR alone, and we used these assays for species detection from eDNA samples.

Use of rhPCR will allow species‐specific detection from environmental DNA for a broad range of species including those that occur in sympatry with other closely related, congeneric species, which has not always been possible with probe‐based qPCR alone.
Population pharmacokinetics of immediate‐ and prolonged‐release tacrolimus formulations in liver, kidney and heart transplant recipients
Authors: Lu Zheng , Bonate Peter , Keirns James 
Published: April 2019

AimsDevelop a population pharmacokinetics model of tacrolimus in organ transplant recipients receiving twice‐daily, immediate‐release (IR‐T; Prograf) and/or once‐daily, prolonged‐release (PR‐T; Advagraf or Astagraf XL) tacrolimus.MethodsTacrolimus concentration–time profiles were analysed from 8 Phase II studies in adult and paediatric liver, kidney and heart transplant patients receiving IR‐T and/or PR‐T. A tacrolimus population pharmacokinetic model, including identification of significant covariates, was developed using NONMEM.ResultsOverall, 23,176 tacrolimus concentration records were obtained from 408 patients. A 2‐compartment model with first‐order absorption and elimination described the concentration–time profiles. Tacrolimus absorption rate was 50% slower with PR‐T vs IR‐T. Tacrolimus apparent oral clearance was 44.3 L/h in Whites and 59% higher in Asians. Tacrolimus central volume of distribution was 108 L in males and 55% lower in females; trough concentrations were similar between formulations. Tacrolimus relative bioavailability was similar between formulations (geometric mean ratio PR‐T:IR‐T 95%, 90% confidence intervals: 89%, 101%). Asians had 83% and 51% higher relative bioavailability than Whites and Blacks, respectively, for IR‐T and PR‐T. Whites had 49% and 77% higher relative bioavailability than Blacks for PR‐T and IR‐T, respectively. Blacks had 52% lower relative bioavailability than Whites and Asians for IR‐T and PR‐T. Type of organ transplanted and patient population (adult/paediatric) did not have a significant effect on tacrolimus pharmacokinetics.ConclusionsThis population pharmacokinetic model described data from transplant recipients who received IR‐T and/or PR‐T. Tacrolimus trough concentrations and relative bioavailability were similar between formulations, supporting 1 mg:1 mg conversion from Prograf to Advagraf/Astagraf XL in clinical practice.
Designing Knowledge‐In‐Use Assessments to Promote Deeper Learning
Authors: Harris Christopher J. , Krajcik Joseph S. , Pellegrino James W. , DeBarger Angela Haydel 
Published: April 2019

AbstractContemporary views on learning highlight that deep learning occurs not simply by accumulating knowledge, but by using and applying knowledge as one engages in disciplinary activity. Increasingly, those concerned with education policy and practice are shifting priorities toward supporting deeper learning by emphasizing the importance of students’ ability to apply knowledge in subject areas. Designers of student assessments are following suit and are taking on the challenge of creating a new generation of assessments. We present a principled approach for designing classroom‐based assessments that not only assess deeper learning, but also provide teachers with critical information about how students are progressing toward achieving ambitious new learning goals. Our approach follows the evidentiary reasoning of evidence‐centered design and builds on research about the important role of knowledge‐in‐use to support student learning. We illustrate our approach in the context of creating tasks that assess students' science proficiency as reflected in the Next Generation Science Standards that are gaining prominence in the United States.