bluuebunny/crossref_metadata_2025_split huggingface dataset:
Context-sensitive and attribute-based sentiment classification of online consumer-generated content
Authors: Bansal Barkha , Srivastava Sangeet 
Published: August 2019

Purpose
Vast volumes of rich online consumer-generated content (CGC) can be used effectively to gain important insights for decision-making, product improvement and brand management. Recently, many studies have proposed semi-supervised aspect-based sentiment classification of unstructured CGC. However, most of the existing CGC mining methods rely on explicitly detecting aspect-based sentiments and overlooking the context of sentiment-bearing words. Therefore, this study aims to extract implicit context-sensitive sentiment, and handle slangs, ambiguous, informal and special words used in CGC.

Design/methodology/approach
A novel text mining framework is proposed to detect and evaluate implicit semantic word relations and context. First, POS (part of speech) tagging is used for detecting aspect descriptions and sentiment-bearing words. Then, LDA (latent Dirichlet allocation) is used to group similar aspects together and to form an attribute. Semantically and contextually similar words are found using the skip-gram model for distributed word vectorisation. Finally, to find context-sensitive sentiment of each attribute, cosine similarity is used along with a set of positive and negative seed words.

Findings
Experimental results using more than 400,000 Amazon mobile phone reviews showed that the proposed method efficiently found product attributes and corresponding context-aware sentiments. This method also outperforms the classification accuracy of the baseline model and state-of-the-art techniques using context-sensitive information on data sets from two different domains.

Practical implications
Extracted attributes can be easily classified into consumer issues and brand merits. A brand-based comparative study is presented to demonstrate the practical significance of the proposed approach.

Originality/value
This paper presents a novel method for context-sensitive attribute-based sentiment analysis of CGC, which is useful for both brand and product improvement.
Modelling and simulation analysis of a bulk queueing system
Authors: R.P. Nithya , M. Haridass 
Published: August 2019

PurposeThe purpose of this paper is to provide simulation modelling for bulk arrival bulk service queueing system involved in a textile industry and analyze the performance metrics.Design/methodology/approachThis paper describes the simulation modelling of a bulk queueing system with limited number of admissions and multiple vacations. The model is developed for the proposed queueing system using Flexsim 2017, and it is explained through an application observed in a textile industry involving the process of cone winding.FindingsIn this paper, the simulation model has been developed to study the behaviour of queues at different resources in a production system. Various performance measures such as average components, average waiting time, total number of inputs and outputs, processing time and idle time involved in a textile industry are evaluated using simulation and justified through numerical illustration.Practical implicationsThe proposed simulation model may be used in various scenarios wherever a real time situation exists related to bulk queueing system. The results produced in this paper can be used by the manufacturing industries to enhance the need-based accuracy. It is worth pointing out that the findings are of direct practical relevance and can be successfully used for a number of industrial applications.Originality/valueThe approach suggested in this paper attempts to deal with the queueing system involved in a textile industry and provides numerical results in less time with less computer resources. It provides a reasonably good approximation for simple and complex queueing models where it is difficult to find closed form of theoretical results.
Climate risk and private participation projects in infrastructure
Authors: Lupton Nathaniel C. , Jiménez Alfredo , Bayraktar Secil , Tsagdis Dimitrios 
Published: August 2019

Purpose
The purpose of this paper is to investigate the impact of climate risk on the success vs failure of foreign direct investments (FDIs) in private participation infrastructure (PPI) projects. The authors also consider the extent to which project-level characteristics mitigate such risks.

Design/methodology/approach
The authors study a sample from the World Bank covering 18,846 projects in 111 countries from 2004 to 2013. The authors apply logistic regressions to determine the impact of climate risk and mitigating project characteristics on project failure.

Findings
The authors find that higher levels of climate risk at the host country level are associated with higher risk of project failure. The authors also find that the disadvantage of higher climate risk is weakened by two project-level characteristics, namely, the inclusion of host government ownership in the project consortium and the size of the project.

Originality/value
The research contributes to the current debate about the impact of climate risks on international business ventures. The authors demonstrate that climate risk is a locational disadvantage for FDI in PPI projects. The authors establish that the “fittest” projects in locations characterized by higher climate risk tend to be those that involve host government participation in their ownership structure as well as those of larger sizes.
Firm heterogeneity and innovation diffusion performance: absorptive capacities
Authors: Wang Hongying , Sun Bing 
Published: August 2019

PurposeThe purpose of this paper is to undertake research on the relationship of firm heterogeneity and innovation diffusion performance, and the role of absorptive capacity in this relationship.Design/methodology/approachBased on the diffusion of innovation theory, enterprise heterogeneity directly affects the evaluation stage (considering whether to adopt it) and the experimental stage (observing whether it is suitable for one’s own situation) of the diffusion process. Therefore, the paper uses a structural equation model to construct the influencing factors model of enterprise heterogeneity on technology diffusion. Furthermore, questionnaires were distributed to 236 enterprises with different scales, nature and location to explore the impact of heterogeneity on technology diffusion with scientific, objective and comprehensive data.FindingsFirm heterogeneity has a positive effect on absorptive capacity and absorptive capacity has a positive effect on technological innovation diffusion performance. Thus, absorptive capacity plays an intermediary role in the effect on enterprise heterogeneity and technological innovation diffusion performance. More interestingly, the authors get some results that are not entirely consistent with the theoretical assumptions.Practical implicationsFirm heterogeneity plays a central role in the process of innovation diffusion. Enterprises should build internal management platforms to enhance cooperation among employees, and establish links with other enterprises for opportunities for win-win cooperation. In addition, enterprises should control the frequency of internal activities, which will undermine the enthusiasm of enterprise members to participate in technology sharing.Originality/valueThis paper explores the interaction between technology potential, cooperation frequency and absorptive capacity from the perspective of systems theory. The findings enrich the theory of innovation diffusion, and explore the inherent reasons why enterprise heterogeneity affects innovation diffusion. Furthermore, the theory that intra-firm cooperation promotes innovation diffusion is not always correct.
Coping with emotional labor: an intervention study
Authors: Weaver Adam D. , Allen Joseph A. , Erks Byrne Rebekka 
Published: August 2019

PurposeEmotional labor is generally seen as a response to organizational display rules, which seek to guide the employee’s emotional expressions in such a way as to benefit the organization – generally by increasing customer satisfaction and fostering a positive regard for the organization itself. This study aims to investigate the degree to which a workshop intervention providing information about emotional labor and targeting effective coping strategies could have an effect on teachers’ burnout.Design/methodology/approachUsing a sample of educators in primary and secondary schools, participants completed a pre-intervention survey, the training intervention and a post-intervention survey six months after the training.FindingsFindings indicate that helpful coping strategy responses increased from pre-intervention to post-intervention. Regression tests showed the relationships between emotional labor and burnout weakened from time 1 to time 2.Originality/valueThese findings suggest that a brief, 60 min, intervention was effective in reducing the strength of the relationship between emotional labor and burnout. Implications for research and practice are discussed.
Auction models with resource pooling in modern supply chain management
Authors: Chen Lihua , Wang Liying , Lan Yingjie 
Published: August 2019

Purpose
In this paper, the main focus is on supply and demand auction systems with resource pooling in modern supply chain from a theoretical modeling perspective. The supply and demand auction systems in modern supply chains among manufacturers and suppliers serve as information sharing mechanisms. The purpose of this paper is to match the supply and demand such that a modern supply chain can achieve incentive compatibility and economic efficiency. The authors design such a supply and demand auction system that can integrate resources to efficiently match the supply and demand.

Design/methodology/approach
The authors propose three theoretic models of modern supply chain auctions with resource pooling according to the Vickrey auction principle. They are supply auction model with demand resource pooling, demand auction model with supply resource pooling, and double auction model with demand and supply resource pooling. For the proposed auction models, the authors present three corresponding algorithms to allocate resources in the auction process by linear programming, and study the incentive compatibility and define the Walrasian equilibriums for the proposed auction models. The authors show that the solutions of the proposed algorithms are Walrasian equilibriums.

Findings
By introducing the auction mechanism, the authors aim to realize the following three functions. First is price mining: auction is an open mechanism with multiple participants. Everyone has his own utility and purchasing ability. So, the final price reflects the market value of the auction. Second is dynamic modern supply chain construction: through auction, firm can find appropriate partner efficiently. Third is resources integration: in business practices, especially in modern supply chain auctions, auctioneers can integrate resources and ally buyers or sellers to gain more efficiency in auctions.

Originality/value
In the paper, the authors propose three theoretic models and corresponding algorithms of modern supply chain auctions with resource pooling according using the Vickrey auction principle, which achieves three functions: price mining, dynamic modern supply chain construction and resources integrating. Besides, these proposed models are much closer to practical settings and may have potential applications in modern supply chain management.
The impact of visitors’ experience intensity on in-situ destination image formation
Authors: Iordanova Elitza , Stylidis Dimitrios 
Published: August 2019

PurposeThis study aims to shed some light on destination image formation by exploring whether image is altered as a result of tourists’ experience intensity with a destination.Design/methodology/approachA visitor experience intensity index was developed based on the amount of events and attractions visitors have already attended/visited or were planning to attend/visit during their stay. The data were collected using self-administered questionnaires and the total sample consisted of 400 tourists in Linz, Austria. Principal component analysis, multivariate analysis of variance and discriminant analysis were applied to analyse the data.FindingsThe findings indicate that the higher the experience intensity score, the more favourable the cognitive and affective evaluations of destination image, indicating that tourists’ experiences are central in the formation of thein situimage.Research limitations/implicationsThe “level of psychological involvement” with the destination should be considered by future studies, as this paper focussed on level of experience intensity.Practical implicationsThis paper supports the effective and innovative solutions for place marketing and branding of tourist destinations such as promoting experiences that further enhance destination image. The study also assists places with bad reputation or negative image, like the selected case study (Linz, Austria), in repositioning themselves as attractive experience providers.Originality/valueThe paper’s originality lies in applying “mere exposure theory” in tourism and using an innovative way of measuring tourists’ experience through an intensity index. The study addresses a significant, but still neglected image determinant, that of experience intensity, contributing to a better understanding of thein situdestination image formation process.
Seasonal shifts and complementary use of pollen sources by two bees, a lacewing and a ladybeetle species in European agricultural landscapes
Authors: Bertrand Colette , Eckerter Philipp W. , Ammann Lolita , Entling Martin H. , Gobet Erika , Herzog Felix , Mestre Laia , Tinner Willy , Albrecht Matthias 
Published: August 2019

Abstract

Continuous availability of food resources, such as pollen, is vital for many insects that provide pollination and pest control services to agriculture. However, there is a lack of knowledge about the shared or complementary use of floral resources by such species, which hampers more effective landscape management to simultaneously promote them in agroecosystems.

Here, we simultaneously quantified pollen use by a bumblebee (Bombus terrestris) and a mason bee (Osmia bicornis), two bee species recognized as important crop pollinators, as well as a lacewing (Chrysoperla carnea) and a ladybeetle species (Harmonia axyridis), both common predators of crop aphids, throughout the season in 23 agricultural landscapes in Germany and Switzerland.

Pollen diets were more diverse and similar among C. carnea and H. axyridis compared to the two bee species, but all four species shared key pollen types early in the season such as Acer, Quercus, Salix and Prunus. All species exhibited a pronounced shift in pollen sources from primarily woody plants (mainly trees) in spring to primarily herbaceous plants in summer. The majority of pollen (overall ≥64%) came from non‐agricultural plants even in crop‐dominated landscapes.

Synthesis and applications. Our results highlight the importance of trees as pollen sources for many insect species, particularly early in the season. Our findings support incentives that promote heterogeneous agricultural landscapes including both woody and herbaceous semi‐natural habitats, ensuring phenological complementarity of floral resources for insect species that can provide pollination and pest control services to agriculture. The identified key plant species can help to design and optimize agri‐environment schemes to promote these functionally important insects.
Deep endometriosis transvaginal ultrasound in the workup of patients with signs and symptoms of endometriosis: a cost analysis
Authors: Leonardi M , Martin E , Reid S , Blanchette G , Condous G 
Published: August 2019

ObjectiveDeep endometriosis transvaginal ultrasound (DE TVS) is accurate in the detection of ovarian endometriosis and DE; however, realisation of its full potential and utilisation remains variable. As such, patients may require a two‐step surgical approach (diagnostic followed by therapeutic laparoscopy) or experience incomplete surgical treatment. Besides the clinical implications, the economic impact of a two‐step approach to diagnosis and treatment on the healthcare system is likely to be significant. We aim to compare the economic costs of two diagnostic models of care for patients with potential endometriosis.DesignCost analysis using Markov model with 12‐month time horizon comparing the economic costs of two diagnostic models.SettingThe study used a hypothetical population of 1000 women visiting a public tertiary gynaecology clinic.PopulationWomen with potential endometriosis. Estimates for endometriosis prevalence and severity were drawn from local Australian hospital data.MethodsThe conventional model (M1) includes the basic TVS and diagnostic laparoscopy. The novel model (M2) includes the DE TVS. Probabilistic sensitivity analysis was conducted to capture the uncertainty in the information used to populate the models.Main outcome measureChanges to government, health‐service and patient costs with the adoption of the DE TVS compared with standard diagnostic methods. Costs are given in Australian dollars (AU$) and also in pound sterling (£).ResultsThe total annual cost of the novel model (M2) is AU$12,547,724.03 (£6,826,673.63), cheaper than the conventional model (M1), which cost AU$13,472,161.67 (£7,329,620.15).ConclusionsFor a population of 1000 women, the integration of the DE TVS may save healthcare costs of AU$924,437 (£502,946.17) annually.Tweetable abstractAn endometriosis‐focused ultrasound may negate a two‐step surgery pathway, including diagnostic surgery, and save healthcare money.
Α Simple Method for the Determination of Lacosamide in Blood by GC‐MS
Authors: Mouskeftara Thomai , Alexandridou Anastasia , Krokos Adamantios , Gika Helen , Mastrogianni Orthodoxia , Orfanidis Amvrosios , Raikos Nikolaos 
Published: August 2019

AbstractLacosamide is a functionalized amino acid with antiepileptic function. Therapeutic drug monitoring (TDM) in patients for lacosamide is critical as it allows clinicians to control epileptic seizures. A single liquid–liquid extraction step was applied for the extraction of lacosamide from whole blood samples which were thereafter analyzed by GC‐MS. Optimum extraction conditions were selected on the basis of experiments with various solvents at different pHs, indicating ethyl acetate at pH 12 as the most efficient parameters for the extraction of lacosamide. Method exhibited linearity from 2 to 100 μg/mL with R2 = 0.998. Accuracy and precision were evaluated at three concentrations and found to be within acceptable limits. LOD and LOQ were determined at 0.1 and 0.5 μg/mL, respectively. Lacosamide was found to be stable at storage conditions. The developed method was applied successfully in clinical samples and postmortem blood sample from an overdose case.
A commercial seaweed extract structured microbial communities associated with tomato and pepper roots and significantly increased crop yield
Authors: Renaut Sébastien , Masse Jacynthe , Norrie Jeffrey P. , Blal Bachar , Hijri Mohamed 
Published: August 2019

SummarySeaweeds have been used as a source of natural fertilizer and biostimulant in agriculture for centuries. However, their effects on soil and crop root microbiota remain unclear. Here, we used a commercially availableAscophyllum nodosumextract (ANE) to test its effect on bacterial and fungal communities of rhizospheric soils and roots of pepper and tomato plants in greenhouse trials. Two independent trials were conducted in a split‐block design. We used amplicon sequencing targeting fungalITSand bacterial 16SrRNAgene to determine microbial community structure changes. We find that productivity parameters of root, shoot and fruit biomass were positively and significantly influenced by theANEamendment. In addition,a‐diversity differed significantly between amended and control plants, but only in some of the experimental conditions. Species composition among sites (b‐diversity) differed according to the amendment treatment in all four communities (fungal‐root, fungal‐soil, bacterial‐root and bacterial‐soil). Finally, we identified a number of candidate taxa most strongly correlated with crop yield increases. Further studies on isolation and characterization of these microbial taxa linked to the application of liquid seaweed extract may help to enhance crop yield in sustainable agro‐ecosystems.
Does child maltreatment predict alcohol use disorders in young adulthood? A cohort study of linked notifications and survey data
Authors: Kisely Steve , Mills Ryan , Strathearn Lane , Najman Jake M. 
Published: August 2019

AbstractBackground and aimsMost studies of the association between child maltreatment and subsequent problem alcohol use are retrospective. We studied the association of prospectively substantiated child maltreatment with problem alcohol use in adulthood.DesignWe used a prospective cohort record linkage correlational design using data from a statutory child protection agency of prospectively substantiated child maltreatment linked to a birth cohort from a major metropolitan maternity hospital.SettingThe Mater‐University of Queensland Study of Pregnancy in Brisbane, Australia.ParticipantsOf the 3762 young people at the 21‐year follow‐up, 169 (4.5%) had a history of substantiated maltreatment by 16 years. This was most commonly emotional abuse (n = 90).MeasurementsThe main outcome was heavy alcohol use at the 21‐year follow‐up, defined as four or more standard drinks per day. Secondary outcomes were life‐time and 12‐month diagnoses of alcohol use disorders in 2531 participants who completed the Composite International Diagnostic Interview‐auto (CIDI‐auto) version. Predictor variables were physical, sexual and emotional abuse, as well as neglect.FindingsAt follow‐up, 407 of the 3762 participants reported heavy alcohol use (10.8%). On adjusted analyses, participants who had experienced emotional abuse were significantly more likely to report heavy alcohol use at the time of interview (adjusted odds ratio = 1.856; 95% confidence interval = 1.038–3.319; P = 0.037). Neglect was associated with a life‐time CIDI diagnosis of an alcohol use disorder. Other types of child maltreatment were not significantly associated with any of the outcomes.ConclusionsProspectively identified experience of childhood emotional abuse and neglect appears to be positively associated with problem alcohol use at age 21.