bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of mobile banking servicescape on customer attitude and engagement
Authors: Sahoo Debjani , S. Pillai Sreejesh 
Published: August 2017

PurposeThe purpose of this paper is to examine the potential influence of the mobile banking (M banking) servicescape on customer attitude and engagement. The stimulus-organism-response framework was adapted to formulate a conceptual model, in which the M banking servicescape was modelled as an antecedent (stimulus) of customer attitudes towards M banking (organism), in turn directing customer behaviour (response), namely, customer engagement.Design/methodology/approachA web-based survey of 345 M banking users was conducted to gather data. The structural equation modelling technique was employed to analyse the conceptual model and test the proposed set of hypotheses.FindingsThe results of data analyses showed that M banking servicescape is a strong predictor of customer attitude towards M banking, which then influences customer engagement. The findings also demonstrate that customer attitudes towards M banking mediate both the M banking servicescape and engagement.Originality/valueThe extension of servicescape literature from the physical to the online context of M banking provides a notable new realm in which academicians can extend the current paradigms. This study also enhances understanding of potential improvements to customer attitude towards and engagement with M banking.
Apps for mobile banking and customer satisfaction: a cross-cultural study
Authors: Sampaio Cláudio Hoffmann , Ladeira Wagner Junior , Santini Fernando De Oliveira 
Published: August 2017

Purpose
By specifically focussing on the use of mobile banking apps, the purpose of this paper is to examine how perceived justice moderates the relationship between the benefits offered by mobile banking and the consequences of satisfaction with mobile banking. This research employs a model in which mobile banking offers comprehensive benefits, satisfaction and consequences that favour mobile banking; in addition, the model also tests the moderating role of perceived justice and uncertainty avoidance in this context.

Design/methodology/approach
This survey study was conducted among bank customers who suffered service failure with certain mobile banking apps. The surveys were collected in three different countries: Brazil, India and the USA. A total of 383 questionnaires were collected. Confirmatory factor analysis and structural equation modelling were applied to analyse and test the hypotheses of this study.

Findings
The results indicate that the benefits offered by mobile banking are positively related to customer satisfaction. Additionally, three consequences of customer satisfaction were analysed: trust, loyalty and positive word-of-mouth. Regarding the context of service failure, the influence of offered benefits on customer satisfaction was significantly different between customers with high and low perceived justice. Uncertainty avoidance (Brazil, USA and India) was not a significant moderator in this study.

Practical implications
The model can be useful for banks to understand perceived justice. Additionally, managers can use the study’s results to develop strategies to better serve customers.

Originality/value
The main contribution is to extend previous research on the benefits offered by mobile banking and the consequences of satisfaction with mobile banking, which includes studies on service failure and perceived justice.
Spatio‐temporal variation in lifelong telomere dynamics in a long‐term ecological study
Authors: Spurgin Lewis G. , Bebbington Kat , Fairfield Eleanor A. , Hammers Martijn , Komdeur Jan , Burke Terry , Dugdale Hannah L. , Richardson David S. 
Published: August 2017

Abstract

Understanding individual‐level variation in response to the environment is fundamental to understanding life‐history evolution and population dynamics. Telomeres, the protective caps at the ends of chromosomes, shorten in response to oxidative stress, and telomere shortening is correlated with reduced survival and life span. Investigating telomere dynamics may help us quantify individual variation in the costs experienced from social and ecological factors, and enhance our understanding of the dynamics of natural populations.

Here, we study spatio‐temporal variation in lifelong telomere dynamics in the Seychelles warbler, Acrocephalus sechellensis. We combine long‐term life history and ecological data with a large longitudinal dataset of mean telomere lengths, consisting of 1,808 samples from 22 cohorts born between 1993 and 2014. We provide a detailed analysis of how telomere dynamics vary over individual life spans and cohorts, and with spatio‐temporal variation in the social and ecological environment.

We found that telomere length decreases with cross‐sectional and longitudinal measures of age, and most rapidly very early in life. However, both cross‐sectional and longitudinal data suggested that against this overall pattern of shortening, bouts of telomere length increase occur in some individuals. Using a large number of repeated measurements we show statistically that these increases are unlikely to be explained solely by qPCR measurement error.

Telomere length varied markedly among cohorts. Telomere length was positively associated with temporal variation in island‐wide insect abundance—a key resource for the insectivorous Seychelles warbler—suggesting that the costs associated with living in harsher environments can be studied by investigating telomere dynamics. We also found evidence for sex‐specific relationships between telomeres and tarsus length, potentially reflecting differential costs of growth.

Our long‐term data show that in a natural population, telomere dynamics vary in a complex manner over individual life spans, and across space and time. Variance in telomere dynamics among individuals is the product of a wide array of genetic, parental and environmental factors. Explaining this variation more fully will require the integration of comprehensive long‐term ecological and genetic data from multiple populations and species.
Quantifying risk of overharvest when implementation is uncertain
Authors: Eriksen Lasse F. , Moa Pål F. , Nilsen Erlend B. 
Published: August 2017

Abstract

Sustainable harvest management implies an ability to control harvest rates. This is challenging in systems that have limited control of resources and resource users, which is often the case in small game harvest management. The difference between management strategies and actual harvest bag size (i.e. implementation uncertainty) may be substantial, but few studies have explored this.

We investigated how different management strategies and ecosystem variables affected realised harvest of willow ptarmigan (Lagopus lagopus L.) among nine independently managed, state‐owned hunting areas in Central and South Norway during 2008–2015. First, we focused our empirical analysis around three response variables of interest: hunting bag (scaled by area), hunting effort (number of hunting days scaled by area) and hunter efficiency (shot birds per hunting day). Akaike information criteria (AIC) guided model selection among candidate GLMMs. Then, we used model‐averaged parameter estimating from the statistical models in numerical simulations to explore risk of overharvest due to implementation uncertainty.

The most parsimonious model explaining hunting bag included total allowable catch (TAC) and willow ptarmigan density. Hunting effort was explained by number of permits sold and type of quota (daily vs. weekly quota). The most parsimonious model describing hunter efficiency only included the effect of willow ptarmigan density.

Our results show that managers have only partial control over harvest rates in this system, and that hunters were relatively more efficient and harvest rates higher at low densities. This effect was present for all management strategy scenarios, including when managers adjusted TAC according to population estimates from monitoring programmes.

Synthesis and applications. Quantifying risk of unsustainable harvest rates under different scenarios enables managers to make informed decisions, when dealing with competing objectives of harvest opportunities and sustainability. The substantial risk of high harvest rates at low densities reported here should encourage frequent use of threshold strategies. This study is one of the first approaches for quantifying implementation uncertainty in small game harvest, and shows how estimates from empirical analyses could be used to quantify risk of overharvest.
Comparing blunders in government
Authors: JENNINGS WILL , LODGE MARTIN , RYAN MATT 
Published: August 2017

AbstractMuch attention has been paid to government ‘blunders’ and ‘policy disasters’. National political and administrative systems have been frequently blamed for being disproportionately prone to generating mishaps. However, little systematic evidence exists on the record of failures of policies and major public projects in other political systems. Based on a comparative perspective on blunders in government, this article suggests that constitutional features do not play a prominent role. In order to establish this finding, this article (a) develops theory‐driven expectations as to the factors that are said to encourage blunders, (b) devises a systematic framework for the assessment of policy processes and outcomes, and (c) uses fuzzy‐set qualitative comparative analysis to identify sets of causal conditions associated with particular outcomes (i.e., blunders). The article applies this novel approach to a set of particular policy domains, finding that constitutional features are not a contributory factor to blunders in contrast to instrument choice, administrative capacity and hyper‐excited politics.
The Regulatory Framework Across International Jurisdictions for Risks Associated with Consumption of Botanical Food Supplements
Authors: Low Teng Yong , Wong Kwok Onn , Yap Adelene L. L. , De Haan Laura H. J. , Rietjens Ivonne M. C. M. 
Published: August 2017

AbstractDietary supplements, including those containing botanical ingredients and botanical‐derived compounds, have been marketed to consumers globally for many decades. However, the legislative framework for such products remains inconsistent across jurisdictions internationally. This study aims to compare the regulatory framework of botanical food supplements in the EU, USA, Canada, Australia, New Zealand, India, Japan, and China. The study also aims to investigate and describe safety assessment criteria for botanical food supplements where they are present in the above said jurisdictions, and attempts to analyze whether these criteria are suitable for addressing the toxicological risks associated with the use of botanical food supplement products, based on the evaluation of reported adverse effects related to botanical food supplement use as examples. Finally, this study discusses some future issues that need further attention, such as the consideration of less than lifetime exposures, potential for misidentification, and adulteration of botanical supplements by pharmacologically active substances. It is concluded that the regulatory approaches towards botanical food supplements differ significantly across jurisdictions. In addition, national authorities are increasingly considering having more regulatory oversight for such products. Further consideration of the actual impact of adverse events arising from botanical food supplement usage will be helpful in guiding such decisions.
Healthy Snacks: Using Nutrient Profiling to Evaluate the Nutrient‐Density of Common Snacks in the United States
Authors: Hess Julie M. , Slavin Joanne L. 
Published: August 2017

AbstractObjective: To quantify and compare the nutrient‐density of commonly consumed snacks using two nutrient‐density measures, Nutrient Rich Foods Indices 9.3 (NRF 9.3) and 15.3 (NRF 15.3). Design: Identify commonly consumed categories of snacks and individual snack foods, calculate NRF 9.3 and 15.3 scores, rank snacks by category and by individual food based on nutrient density, compare and contrast scores generated by the two NRF Indices. Main Outcome Measures: NRF 9.3 and 15.3 scores. Analysis: Averages and standard deviations of nutrient‐density scores for each snack category. Results: Vegetables and coffee/tea received the highest category scores on both indices. Cakes/cookies/pastries and sweets had the lowest category scores. NRF 9.3 scores for individual snacks ranged from –46 (soda) to 524 (coffee). NRF 15.3 scores ranged from –45 (soda) to 736 (coffee). Conclusions and Implications: If added to food labels, NRF scores could help consumers identify more nutritious choices. The differences between NRF 9.3 and 15.3 scores generated for the same foods and the limitations of these indices highlight the need for careful consideration of which nutrient‐density measure to include on food labels as well as consumer education.
Temporal Texture Profile and Identification of Glass Transition Temperature as an Instrumental Predictor of Stickiness in a Caramel System
Authors: Mayhew Emily J. , Schmidt Shelly J. , Schlich Pascal , Lee Soo‐Yeun 
Published: August 2017

AbstractStickiness is an important texture attribute in many food systems, but its meaning can vary by person, product, and throughout mastication. This variability and complexity makes it difficult to devise analytical tests that accurately and consistently predict sensory stickiness. Glass transition temperature (Tg) is a promising candidate for texture prediction. Our objective is to elucidate the temporal profile of stickiness in order to probe the relationship between Tg and dynamic stickiness perception. Nine caramel samples with diverse texture and thermal profiles were produced for sensory testing and differential scanning calorimetry. Sixteen trained panelists generated stickiness‐relevant terms to be used in a subsequent temporal dominance of sensation (TDS) test with the same panelists. Following the TDS study, these panelists also rated samples for overall tactile and oral stickiness. Stickiness ratings were then correlated to TDS dominance parameters across the full evaluation period and within the first, middle, and final thirds of the evaluation period. Samples with temporal texture profiles dominated by tacky, stringy, and enveloping attributes consistently received the highest stickiness scores, although the correlation strength varied by time period. Tg was found to correlate well with trained panelist and consumer ratings of oral (R2trained = 0.85; R2consumer = 0.96) and tactile (R2trained = 0.78; R2consumer = 0.79) stickiness intensity, and stickiness intensity ratings decreased with Tg of completely amorphous samples. Further, glassy samples followed a different texture trajectory (brittle‐cohesive‐toothpacking) than rubbery samples (deformable‐tacky‐enveloping). These results illuminate the dynamic perception of stickiness and support the potential of Tg to predict both stickiness intensity and texture trajectory in caramel systems.
A comparison of regression methods for model selection in individual‐based landscape genetic analysis
Authors: Shirk Andrew J. , Landguth Erin L. , Cushman Samuel A. 
Published: August 2017

AbstractAnthropogenic migration barriers fragment many populations and limit the ability of species to respond to climate‐induced biome shifts. Conservation actions designed to conserve habitat connectivity and mitigate barriers are needed to unite fragmented populations into larger, more viable metapopulations, and to allow species to track their climate envelope over time. Landscape genetic analysis provides an empirical means to infer landscape factors influencing gene flow and thereby inform such conservation actions. However, there are currently many methods available for model selection in landscape genetics, and considerable uncertainty as to which provide the greatest accuracy in identifying the true landscape model influencing gene flow among competing alternative hypotheses. In this study, we used population genetic simulations to evaluate the performance of seven regression‐based model selection methods on a broad array of landscapes that varied by the number and type of variables contributing to resistance, the magnitude and cohesion of resistance, as well as the functional relationship between variables and resistance. We also assessed the effect of transformations designed to linearize the relationship between genetic and landscape distances. We found that linear mixed effects models had the highest accuracy in every way we evaluated model performance; however, other methods also performed well in many circumstances, particularly when landscape resistance was high and the correlation among competing hypotheses was limited. Our results provide guidance for which regression‐based model selection methods provide the most accurate inferences in landscape genetic analysis and thereby best inform connectivity conservation actions.
New approaches for delineating n‐dimensional hypervolumes
Authors: Blonder Benjamin , Morrow Cecina Babich , Maitner Brian , Harris David J. , Lamanna Christine , Violle Cyrille , Enquist Brian J. , Kerkhoff Andrew J. 
Published: August 2017

Abstract

Hutchinson's n‐dimensional hypervolume concept underlies many applications in contemporary ecology and evolutionary biology. Estimating hypervolumes from sampled data has been an ongoing challenge due to conceptual and computational issues.

We present new algorithms for delineating the boundaries and probability density within n‐dimensional hypervolumes. The methods produce smooth boundaries that can fit data either more loosely (Gaussian kernel density estimation) or more tightly (one‐classification via support vector machine). Further, the algorithms can accept abundance‐weighted data, and the resulting hypervolumes can be given a probabilistic interpretation and projected into geographic space.

We demonstrate the properties of these methods on a large dataset that characterises the functional traits and geographic distribution of thousands of plants. The methods are available in version ≥2.0.7 of the hypervolume r package.

These new algorithms provide: (i) a more robust approach for delineating the shape and density of n‐dimensional hypervolumes; (ii) more efficient performance on large and high‐dimensional datasets; and (iii) improved measures of functional diversity and environmental niche breadth.
Understanding Emergency Care Delivery Through Computer Simulation Modeling
Authors: Laker Lauren F. , Torabi Elham , France Daniel J. , Froehle Craig M. , Goldlust Eric J. , Hoot Nathan R. , Kasaie Parastu , Lyons Michael S. , Barg‐Walkow Laura H. , Ward Michael J. , Wears Robert L. 
Published: August 2017

AbstractIn 2017, Academic Emergency Medicine convened a consensus conference entitled, “Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes.” This article, a product of the breakout session on “understanding complex interactions through systems modeling,” explores the role that computer simulation modeling can and should play in research and development of emergency care delivery systems. This article discusses areas central to the use of computer simulation modeling in emergency care research. The four central approaches to computer simulation modeling are described (Monte Carlo simulation, system dynamics modeling, discrete‐event simulation, and agent‐based simulation), along with problems amenable to their use and relevant examples to emergency care. Also discussed is an introduction to available software modeling platforms and how to explore their use for research, along with a research agenda for computer simulation modeling. Through this article, our goal is to enhance adoption of computer simulation, a set of methods that hold great promise in addressing emergency care organization and design challenges.
Treatment of ALK‐rearranged non‐small cell lung cancer: A review of the landscape and approach to emerging patterns of treatment resistance in the Australian context
Authors: Itchins M. , Chia P.L. , Hayes S.A. , Howell V.M. , Gill A.J. , Cooper W.A. , John T. , Mitchell P. , Millward M. , Clarke S.J. , Solomon B. , Pavlakis N. 
Published: August 2017

AbstractSince the identification of anaplastic lymphoma kinase (ALK) gene rearrangements in non‐small cell lung cancer (NSCLC) in 2005, the treatment of ALK‐rearranged NSCLC (ALK+ NSCLC) has evolved at a rapid pace. This molecularly distinct subset of NSCLC has uniquely important biology, clinicopathologic features and mechanisms of drug resistance which impact on the choice of treatment for a patient with this disease. There are multiple ALK tyrosine kinase inhibitors now available in clinical practice with efficacy data continuing to emerge and guide the optimal treatment algorithm. A detailed search of medical databases and clinical trial registries was conducted to capture all relevant articles on this topic enabling an updated detailed overview of the landscape of management of ALK‐rearranged NSCLC.
Elite Influence? Religion and the Electoral Success of the Nazis
Authors: Spenkuch Jörg L. , Tillmann Philipp 
Published: August 2017

AbstractIn Weimar Germany, the Catholic Church vehemently warned ordinary parishioners about the dangers of extremist parties. We establish that constituencies' religious composition is a key empirical predictor of Nazi vote shares—dwarfing the explanatory power of any other demographic or socioeconomic variable. Even after carefully accounting for observational differences, Catholics were far less likely to vote for the NSDAP than their Protestant counterparts. The evidence suggests that this disparity was, in large part, due to the sway of the Catholic Church and its dignitaries. At the same time, we show that attempts to immunize Catholics against the radical left failed to achieve the desired result. To explain the puzzling asymmetry in the Church's influence at the ballot box, we develop a simple theoretical framework of elite influence in electoral politics.
Hereditary angioedema with a mutation in the plasminogen gene
Authors: Bork K. , Wulff K. , Steinmüller‐Magin L. , Brænne I. , Staubach‐Renz P. , Witzke G. , Hardt J. 
Published: August 2017

AbstractBackgroundHereditary angioedema (HAE) with normal C1‐INH (HAEnCI) may be linked to specific mutations in the coagulation factor 12 (FXII) gene (HAE‐FXII) or functional mutations in other genes that are still unknown. We sought to identify and characterize a hitherto unknown type of HAE with normal C1‐INH and without mutation in the F12 gene.MethodsThe study comprised analysis of whole‐exome sequencing, Sanger sequencing, and clinical data of patients.ResultsWe detected a mutation in the plasminogen (PLG) gene in patients with HAEnCI. The mutation c.9886A>G was located in exon 9 leading to the missense mutation p.Lys330Glu (K330E) in the kringle 3 domain of the PLG protein. The mutation was identified by next‐generation sequencing in 14 patients with HAEnCI belonging to 4 of 7 families. Family studies revealed that this type of HAE was transmitted as an autosomal dominant trait. The PLG gene mutation was present in all studied symptomatic patients and was also found in 9 of 38 index patients from 38 further families with HAEnCI. Most patients had swelling of face/lips (78.3%) and tongue (78.3%). A total of 331 of all 3.795 tongue swellings (8.7%) were associated with dyspnea, voice changes, and imminent asphyxiation. Two women died by asphyxiation due to a tongue swelling.ConclusionsHereditary angioedema with a mutation in the PLG gene is a novel type of HAE. It is associated with a high risk of tongue swellings.