bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generation Y: evaluating services experiences through mobile ethnography
Authors: Muskat Matthias , Muskat Birgit , Zehrer Anita , Johns Raechel 
Published: September 2013

PurposeThis paper suggests mobile ethnography as a method for data collection, where Generation Y customers are integrated as active investigators. The paper aims to contribute to the debate on museums as experience‐centred places, to understanding how the experience is perceived by Generation Y, to identifying the customer journey, to providing an insight into service experience consumption and to deriving managerial implication for the museum industry of how to approach Generation Y.Design/methodology/approachMobile ethnography is applied to the National Museum of Australia in Canberra with a sample of Generation Y visitors as the future visitor market.FindingsThe paper finds that there is a need to involve museum management in measuring museum experiences, especially with regard to the definition and improvement of the service‐delivery processes. Service experience must be appropriately managed by museum operators by collecting, evaluating, storing and reusing relevant data on customer experience. Mobile ethnography and tools such as MyServiceFellow offer an important potential source of sustainable competitive advantage by improving customer experience, particularly for Gen Y.Research limitations/implicationsThe most significant limitation is the exploratory nature of the single case study derived from a small sample within only one museum.Originality/valueThis is one of the few studies to have addressed mobile ethnography in a service context and examined the museum experience of Generation Y. The paper finds that there is a need to involve museum management in service design to improve the service‐delivery process, especially with regard to the different mindsets of the Millennials.
Segmenting outbound tourists based on their activities: toward experiential consumption spheres in tourism services?
Authors: Finsterwalder Jörg , Laesser Christian 
Published: September 2013

PurposeClassical socio‐demographic segmentation approaches of tourists mostly fail to cluster customer groups appropriately. More recent segmentation approaches have employed a more customer‐centric perspective, attempting to capture consumer behavioral patterns. Within such segmentation, one very promising approach examines the activities pursued by tourists. This research aims to identify activity patterns of outbound travelers for segmentation and ultimately to recognize experiential consumption spheres created by tourists at a destination.Design/methodology/approachThis paper applies a posteriori, data‐driven, activity‐based segmentation to outbound travelers.FindingsThe present study identifies six activity‐based clusters: average short‐haul holiday experiences (Cluster 1); short repeat healthy winter experiences (Cluster 2); new beach experiences (Cluster 3); short social encounter experiences (Cluster 4); new place experiences (Cluster 5); and seniors' new place experiences (Cluster 6).Originality/valueThis research is unlike many other studies that apply segmentation to inbound travelers. The authors' approach analyzes outbound travelers and is based on the notion that activities are the basis of the experiential consumption of consumers and the idea that customers co‐create experiences in so‐called experiential consumption spheres during activity‐based encounters with service providers at a destination.
Nature‐based rural tourism and its economic benefits: a case study of Kinabalu National Park
Authors: Jaafar Mastura , Kayat Kalsom , Tangit Tania Maria , Firdous Yacob Mohd 
Published: September 2013

PurposeIt has been acknowledged that tourism can play a role in employment creation and in raising the rural community's standard of living. This paper aims to examine the economic benefits emanating from tourism development for a local community in the area of Kinabalu National Park, Sabah.Design/methodology/approachQualitative data was used to provide an in‐depth analysis of the findings on willingness of residents to participate in tourism activities.FindingsThe local community of Kinabalu National Park perceive the tourism sector to have greatly contributed to their economic growth. However, the community has raised other issues in ensuring the sustainability of the park, especially in terms of the provision of facilities.Practical implicationsThe relevant stakeholders need to carefully plan appropriate policies and regulations to ensure maximum economic benefit is gained by local community participation in tourism development within the limited carrying capacity of Kinabalu National Park.Originality/valueThis study provides an understanding of the economic impact of tourism on the local community in Kinabalu National Park. It calls for government action to look into the carrying capacity of the Kinabalu National Park in the near future.
Review of valuation from a non‐market perspective: travel cost method for rural tourism
Authors: Herman bin Mohammad Afandi Syamsul , Samdin Zaiton , bin Shuib Ahmad 
Published: September 2013

PurposeThe study aims to conduct a critical analysis of available economic tools to value non‐market rural tourism products and services, and assess the strengths and weaknesses of these tools.Design/methodology/approachThe paper reviews existing valuation methods to better understand how estimates of rural tourism products and services are conducted. The paper also critically evaluates the applicability of these methods.FindingsThe study concludes that the selection of a method is mainly based on applicability of the approach. In assessing the non‐market value of rural tourism products and services, a method is selected by identifying its strengths and weaknesses. A review of previous studies suggests the evaluation of the practicality of each method according to the topic studied.Originality/valueThe paper contributes to a better understanding of available valuation approaches that give reliable estimates on non‐market rural tourism products and services.
Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming
Authors: Skevas Theodoros , Lansink Alfons Oude 
Published: September 2013

AbstractThis paper employs a dynamic Data Envelopment Analysis (DEA) model to measure the composition of productivity growth of pesticides and the environmental impacts of pesticides. The application focuses on panel data of Dutch arable farms over the period 2003–07. A bootstrap regression model is used to explain farmers' performance, providing empirical evidence of the impact of producer‐specific characteristics and environmental factors. The results show that Dutch arable farms have substantial inefficiency in the use of pesticides and high pesticide environmental inefficiency, and appear rather unconcerned about the environmental impacts of their current pesticide use decisions on next period's production environment.
Samples from subdivided populations yield biased estimates of effective size that overestimate the rate of loss of genetic variation
Authors: Ryman Nils , Allendorf Fred W. , Jorde Per Erik , Laikre Linda , Hössjer Ola 
Published: September 2013

AbstractMany empirical studies estimating effective population size apply the temporal method that provides an estimate of the variance effective size through the amount of temporal allele frequency change under the assumption that the study population is completely isolated. This assumption is frequently violated, and the magnitude of the resulting bias is generally unknown. We studied how gene flow affects estimates of effective size obtained by the temporal method when sampling from a population system and provide analytical expressions for the expected estimate under an island model of migration. We show that the temporal method tends to systematically underestimate both local and global effective size when populations are connected by gene flow, and the bias is sometimes dramatic. The problem is particularly likely to occur when sampling from a subdivided population where high levels of gene flow obscure identification of subpopulation boundaries. In such situations, sampling in a manner that prevents biased estimates can be difficult. This phenomenon might partially explain the frequently reported unexpectedly low effective population sizes of marine populations that have raised concern regarding the genetic vulnerability of even exceptionally large populations.
Polymorphisms in DNA repair genes of XRCC1, XPA, XPC, XPD and associations with lung cancer risk in Chinese people
Authors: Mei Chaorong , Hou Mei , Guo Shanxian , Hua Feng , Zheng Dejie , Xu Feng , Jiang Yong , Li Lu , Qiao Youlin , Fan Yaguang , Zhou Qinghua 
Published: September 2013

AbstractBackgroundThe carcinogenic chemicals and reactive oxygen species in tobacco can result in DNA damage. DNA repair genes play an important role in maintaining genome integrity. Genetic polymorphisms of DNA repair genes and smoking may contribute to susceptibility of lung cancer.MethodsIn this hospital‐based case‐control study, we investigated the relationship between 13 tagging single nucleotide polymorphisms (SNPs) in base excision repair pathway and nucleotide excision repair pathway genes, smoking, and lung cancer susceptibility. Thirteen tag SNPs were genotyped in 265 lung cancer patients and 301 healthy controls. Logistic regression and multifactor dimensionality reduction method were applied to explore the association and high‐order gene‐gene and gene‐smoking interaction.ResultsIn single tag SNP analysis, XPA rs2808668, XPC rs2733533, and XPD rs1799787 were significantly associated with lung cancer susceptibility. Joint effects analysis of XPA rs2808668, XPC rs2733533 and XPD rs1799787 showed that there was an increased risk of lung cancer with increasing numbers of risk alleles. Haplotype analysis showed that XRCC1 (rs25487, rs1799782, rs3213334) GCC had a positive association with lung cancer. Analysis of gene‐gene and gene‐smoking interaction by multifactor dimensionality reduction showed that a positive interaction existed between the four genes and smoking. The two‐factor model, including XPC rs2755333 and smoking, had the best prediction ability for lung cancer. Compared with the C/C genotype of XPC rs2733533 and no smoking, the combination of genotype A carriers with XPC rs2733533 and heavy smokers (≥30 pack‐year) had a 13.32‐fold risk of lung cancer.ConclusionOur results suggest multiple genetic variants in multiple DNA repair genes may jointly contribute to lung cancer risk through gene‐gene and gene‐smoking interactions.
Building a City For “The People”: The Politics of Alliance‐Building in the Sydney Green Ban Movement
Authors: Iveson Kurt 
Published: September 2013

AbstractHow can we act to contest urban injustice? This article grapples with this question through an analysis of the green ban movement that emerged in Sydney in the 1970s. For a time, this unruly alliance of construction workers, resident activists, and progressive professionals powerfully enacted a radical right to the city, blocking a range of unjust and destructive “developments” worth billions of dollars and proposing alternative development plans in their place. Drawing on archival research, I demonstrate how the figure of “the people” was crucial to their action. The article examines the rights and the authority that was invested in “the people” by green ban activists, and traces the work of political subjectification through which “the people” was constructed. “The people” was not invoked as a simple majority or as a universal subject whose unity glossed over differences. Rather, in acting as/for “the people”, green ban activists produced a political subject able to challenge the claims of elected politicians, bureaucrats and developers to represent the interests of the city. The article concludes with reflections on the implications of this construction of “the people” for urban politics today.
Prevalence of human papillomavirus in epithelial ovarian cancer tissue. A meta‐analysis of observational studies
Authors: Svahn Malene F. , Faber Mette T. , Christensen Jane , Norrild Bodil , Kjaer Susanne K. 
Published: September 2013

AbstractObjectiveThe role of human papillomavirus (HPV) in the pathogenesis of ovarian cancer is controversial, and conflicting results have been published. We conducted a systematic review and meta‐analysis to estimate the prevalence of HPV in epithelial ovarian cancer tissue.Material and methodsObservational studies published until 4 March 2013 were identified in PubMed and Embase. We adhered to MOOSE guidelines and included 22 studies (case‐control, cross‐sectional studies). A pooled estimate of the HPV prevalence with corresponding 95% confidence interval (CI) was calculated based on a random effect model. In a meta‐regression analysis we examined the contribution of different factors to heterogeneity. Furthermore, publication bias was evaluated.ResultsThe pooled HPV prevalence in ovarian cancer tissue was 15.5%, but wide variation was found (0–66.7%). After stratification by geographical region, publication year, tissue type and method of HPV detection, we found that the prevalence of HPV varied most markedly by geographical area, the prevalence being 45.6% (95% CI, 31.0–60.3) in Asia, 18.5% (95% CI, 8.5–28.6) in Eastern Europe, 1.1% (95% CI, −1.6 to 3.8) in Western Europe and zero in North America. A meta‐regression analysis revealed that the difference between geographical regions could not be explained by HPV detection method or type of tissue.ConclusionsGreat geographical variation exists in HPV prevalence in ovarian cancer tissue, which is not explained by different HPV detection methods. The results suggest that HPV is unlikely to play an important role in Western European and American women, but cannot reject a role of HPV in other populations.
The relation between endometriosis and ovarian cancer – a review
Authors: Heidemann Lene N. , Hartwell Dorthe , Heidemann Christian H. , Jochumsen Kirsten M. 
Published: September 2013

AbstractBackgroundEndometriosis is known to harbor characteristics substantiating its possible role as a precursor of ovarian cancer.ObjectiveTo assess the quality of the literature regarding the association between endometriosis and ovarian cancer and to estimate the extent of this relation.MethodsAn electronic literature search was conducted in PubMed and 1112 articles dealing with the relation between endometriosis and ovarian cancer were identified. Original articles based on case‐control studies, cohort studies and cross‐sectional studies were included. Studies consisting of populations with self‐reported endometriosis were excluded, as were articles with fewer than 20 cases of ovarian cancer. Twenty‐eight studies underwent detailed quality assessments based on the checklists developed by the Scottish Intercollegiate Guidelines Network (SIGN). Meta‐analyses were conducted on selected subgroups of ovarian cancer with coexisting endometriosis.ResultsNone of the 28 studies was given the highest possible rating using the SIGN checklists. The risk of ovarian cancer in women with endometriosis was reported to be a standardized incidence ratio of 1.43–8.95, a rate ratio of 1.6–2.88, an odds ratio of 1.34, with a prevalence of ovarian cancer in 2.0–17.0% of women with endometriosis. Conversely, the prevalence of endometriosis in women with ovarian cancer ranged from 3.4 to 52.6%. Meta‐analysis results were weakened by heterogeneity.ConclusionThere is sufficient evidence to conclude that there is an increased risk of developing clear‐cell and endometrioid epithelial ovarian cancer for women with histologically verified endometriosis. Nonetheless, prospective cohort studies assessing the relation between endometriosis and ovarian cancer will increase knowledge in this field.
Clinical evaluation of the ADE scorecards as a decision support tool for adverse drug event analysis and medication safety management
Authors: Hackl Werner O. , Ammenwerth Elske , Marcilly Romaric , Chazard Emmanuel , Luyckx Michel , Leurs Pascale , Beuscart Regis 
Published: September 2013

AimsThe prevention of adverse drug events (ADEs) demands co‐ordination of different health care professionals. ADE scorecards are a novel approach to raise the team awareness regarding ADE risks and causes. It makes information on numbers and on possible causes of possible ADE cases available to the clinical team. The aim of the study was to investigate the usage and acceptance of ADE scorecards by healthcare professionals and their impact on rates of possible ADEs.MethodsADE scorecards were introduced in three departments of a French hospital. A controlled time series analysis of ADE data was conducted to assess the impact of the ADE scorecards. In addition, qualitative interviews and a standardized survey with all participating staff members were performed.ResultsPhysicians, nurses and pharmacists found ADE scorecards effective to increase medication safety and recommended future usage. The time‐series analysis did not show changes in rates of possible ADEs.ConclusionADE scorecards appear to be useful to raise awareness of ADE‐related issues among professionals. Although the evaluation did not show significant reductions of ADE rates, the participating physicians, nurses and pharmacists believed that the ADE scorecards could contribute to increased patient safety and to a reduction in ADE rates. Strategies need to be designed to integrate ADE scorecards better into the clinical routine and to increase the precision of ADE detection.
Development of a standardized knowledge base to generate individualized medication plans automatically with drug administration recommendations
Authors: Send Alexander F. J. , Al‐Ayyash Adel , Schecher Sabrina , Rudofsky Gottfried , Klein Ulrike , Schaier Matthias , Pruszydlo Markus G. , Witticke Diana , Lohmann Kristina , Kaltschmidt Jens , Haefeli Walter E. , Seidling Hanna M. 
Published: September 2013

AimsWe aimed to develop a generic knowledge base with drug administration recommendations which allows the generation of a dynamic and comprehensive medication plan and to evaluate its comprehensibility and potential benefit in a qualitative pilot study with patients and physicians.MethodsBased on a literature search and previously published medication plans, a prototype was developed and iteratively refined through qualitative evaluation (interviews with patients and focus group discussions with physicians). To develop the recommendations for safe administration of specific drugs we screened the summary of product characteristics (SmPC) of different exemplary brands, allocated the generated advice to groups with brands potentially requiring the same advice, and reviewed these allocations regarding applicability and appropriateness of the recommendations.ResultsFor the recommendations, 411 SmPCs of 140 different active ingredients including all available galenic formulations, routes of administrations except infusions, and administration devices were screened. Finally, 515 distinct administration recommendations were included in the database. In 926 different generic groups, 29 879 allocations of brands to general advice, food advice, indications, step‐by‐step instructions, or combinations thereof were made. Thereby, 27 216 of the preselected allocations (91.1%) were confirmed as appropriate. In total, one third of the German drug market was labelled with information.ConclusionsGeneric grouping of brands according to their active ingredient and other drug characteristics and allocation of standardized administration recommendations is feasible for a large drug market and can be integrated in a medication plan.
A new approach to identify, classify and count drug‐related events
Authors: Bürkle Thomas , Müller Fabian , Patapovas Andrius , Sonst Anja , Pfistermeister Barbara , Plank‐Kiegele Bettina , Dormann Harald , Maas Renke 
Published: September 2013

AimsThe incidence of clinical events related to medication errors and/or adverse drug reactions reported in the literature varies by a degree that cannot solely be explained by the clinical setting, the varying scrutiny of investigators or varying definitions of drug‐related events. Our hypothesis was that the individual complexity of many clinical cases may pose relevant limitations for current definitions and algorithms used to identify, classify and count adverse drug‐related events.MethodsBased on clinical cases derived from an observational study we identified and classified common clinical problems that cannot be adequately characterized by the currently used definitions and algorithms.ResultsIt appears that some key models currently used to describe the relation of medication errors (MEs), adverse drug reactions (ADRs) and adverse drug events (ADEs) can easily be misinterpreted or contain logical inconsistencies that limit their accurate use to all but the simplest clinical cases. A key limitation of current models is the inability to deal with complex interactions such as one drug causing two clinically distinct side effects or multiple drugs contributing to a single clinical event. Using a large set of clinical cases we developed a revised model of the interdependence between MEs, ADEs and ADRs and extended current event definitions when multiple medications cause multiple types of problems. We propose algorithms that may help to improve the identification, classification and counting of drug‐related events.ConclusionsThe new model may help to overcome some of the limitations that complex clinical cases pose to current paper‐ or software‐based drug therapy safety.
Disturbances in reality testing as markers of risk in offspring of parents with bipolar disorder: a systematic review from a developmental psychopathology perspective
Authors: Narayan Angela J , Allen Timothy A , Cullen Kathryn R , Klimes‐Dougan Bonnie 
Published: September 2013

ObjectivesThis comprehensive review examined the prevalence and progression of disturbances in reality testing (DRT), defined as psychotic symptoms, cognitive disruptions, and thought problems, in offspring of parents with bipolar disorder (O‐BD). Our approach was grounded in a developmental psychopathology perspective and considered a broader phenotype of risk within the bipolar–schizophrenia spectrum as measured by categorical and dimensional assessments ofDRTin high‐risk youth.MethodsRelevant studies were identified from numerous sources (e.g., PubMed, reference sections, and colleagues). Inclusion criteria were: (i) family risk studies published between 1975 and 2012 in which O‐BDwere contrasted with a comparison group (e.g., offspring of parents who had other psychiatric disorders or were healthy) onDRToutcomes and (ii) results reported for categorical or dimensional assessments ofDRT(e.g., schizophrenia, psychotic symptoms, cluster A personality traits, or thought problems), yielding a total of 23 studies.ResultsThree key findings emerged: (i) categorical approaches ofDRTin O‐BDproduced low incidence base rates and almost no evidence of significant differences inDRTbetween O‐BDand comparison groups, whereas (ii) many studies using dimensional assessments ofDRTyielded significant group differences inDRT. Furthermore, (iii) preliminary evidence from dimensional measures suggested that the developmental progression ofDRTin O‐BDmight represent a prodrome of severe psychological impairment.ConclusionsPreliminary but promising evidence suggests thatDRTis a probable marker of risk for future impairment in O‐BD. Methodological strengths and weaknesses, the psychometric properties of primaryDRTconstructs, and future directions for developmental and longitudinal research with O‐BDare discussed.