bluuebunny/crossref_metadata_2025_split huggingface dataset:
Childhood Psychological Distress as a Mediator in the Relationship Between Early-Life Social Disadvantage and Adult Cardiometabolic Risk: Evidence From the 1958 British Birth Cohort
Authors: Winning Ashley , Glymour M. Maria , McCormick Marie C. , Gilsanz Paola , Kubzansky Laura D. 
Published: October 2016

ABSTRACT

Objectives
Prior research on the relationship between early adversity and adult chronic disease has often relied on retrospective reports of a limited range of exposures and has not considered childhood psychological distress as a mediator. We investigate whether distress in childhood is one pathway by which early social disadvantage leads to greater cardiometabolic risk in middle adulthood.

Methods
Data are from the 1958 British Birth Cohort study (sample n = 6027). We created an early social disadvantage index based on 16 exposures related to family and socioeconomic hardship from birth to age 7. Childhood psychological distress was ascertained from internalizing and externalizing symptoms at ages 7, 11, and 16 years. Cardiometabolic risk was assessed with a Z-standardized score derived from 9 immune, cardiovascular, and metabolic biomarkers measured at age 45. We used linear regression models and formal tests of mediation to assess relationships between disadvantage, distress, and subsequent cardiometabolic risk.

Results
Higher social disadvantage predicted increased adult cardiometabolic risk (β = 0.05; 95% CI = 0.03–0.07). Mediation analyses revealed a significant direct (path c′; β = 0.03; 95% CI = 0.01–0.05) and indirect (path ab; β = 0.02; 95% CI = 0.01–0.02) effect of social disadvantage on cardiometabolic risk, adjusting for potential confounders. Child psychological distress accounted for 37% (95% CI = 34–46%) of the observed association.

Conclusions
Results suggest childhood distress may be one factor on the pathway linking early disadvantage to higher risk of developing cardiometabolic diseases. Such results may point to the importance of blocking the translation of psychosocial to biological risk during a potentially sensitive developmental window.
Preparing Residents Effectively in Emergency Skills Training With a Serious Game
Authors: Dankbaar Mary E.W. , Roozeboom Maartje Bakhuys , Oprins Esther A.P. B. , Rutten Frans , van Merrienboer Jeroen J.G. , van Saase Jan L.C.M. , Schuit Stephanie C.E. 
Published: October 2016

Introduction
Training emergency care skills is critical for patient safety but cost intensive. Serious games have been proposed as an engaging self-directed learning tool for complex skills. The objective of this study was to compare the cognitive skills and motivation of medical residents who only used a course manual as preparation for classroom training on emergency care with residents who used an additional serious game.

Methods
This was a quasi-experimental study with residents preparing for a rotation in the emergency department. The “reading” group received a course manual before classroom training; the “reading and game” group received this manual plus the game as preparation for the same training. Emergency skills were assessed before training (with residents who agreed to participate in an extra pretraining assessment), using validated competency scales and a global performance scale. We also measured motivation.

Results
All groups had comparable important characteristics (eg, experience with acute care). Before training, the reading and game group felt motivated to play the game and spent more self-study time (+2.5 hours) than the reading group. Game-playing residents showed higher scores on objectively measured and self-assessed clinical competencies but equal scores on the global performance scale and were equally motivated for training, compared with the reading group. After the 2-week training, no differences between groups existed.

Conclusions
After preparing training with an additional serious game, residents showed improved clinical competencies, compared with residents who only studied course material. After a 2-week training, this advantage disappeared. Future research should study the retention of game effects in blended designs.
Family Over Rules? An Ethical Analysis of Allowing Families to Overrule Donation Intentions
Authors: Shaw David , Georgieva Denie , Haase Bernadette , Gardiner Dale , Lewis Penney , Jansen Nichon , Wind Tineke , Samuel Undine , McDonald Maryon , Ploeg Rutger 
Published: October 2016

Abstract
Millions of people want to donate their organs after they die for transplantation, and many of them have registered their wish to do so or told their family and friends about their decision. For most of them, however, this wish is unlikely to be fulfilled, as only a small number of deaths (1% in the United Kingdom) occur in circumstances where the opportunity to donate organs is possible. Even for those who do die in the “right” way and have recorded their wishes or live in a jurisdiction with a “presumed consent” system, donation often does not go ahead because of another issue: their families refuse to allow donation to proceed. In some jurisdictions, the rate of “family overrule” is over 10%. In this article, we provide a systematic ethical analysis of the family overrule of donation of solid organs by deceased patients, and examine arguments both in favor of and against allowing relatives to “veto” the potential donor's intentions. First, we provide a brief review of the different consent systems in various European countries, and the ramifications for family overrule. Next, we describe and discuss the arguments in favor of permitting donation intentions to be overruled, and then the arguments against doing so. The “pro” arguments are: overrule minimises family distress and staff stress; families need to cooperate for donation to take place; families might have evidence regarding refusal; and failure to permit overrules could weaken trust in the donation system. The “con” arguments are: overrule violates the patient's wishes; the family is too distressed and will regret the decision; overruling harms other patients; and regulations prohibit overrule. We conclude with a general discussion and recommendations for dealing with families who wish to overrule donation. Overall, overrule should only rarely be permitted.
Dynamic proteomics of HSV1 infection reveals molecular events that govern non-stochastic infection outcomes
Authors: Drayman Nir , Karin Omer , Mayo Avi , Danon Tamar , Shapira Lev , Kobiler Oren , Alon Uri 
Published: October 2016

AbstractViral infection is usually studied at the level of cell populations, averaging over hundreds of thousands of individual cells. Moreover, measurements are typically done by analyzing a few time points along the infection process. While informative, such measurements are limited in addressing how cell variability affects infection outcome. Here we employ dynamic proteomics to study virus-host interactions, using the human pathogen Herpes Simplex virus 1 as a model. We tracked >50,000 individual cells as they respond to HSV1 infection, allowing us to model infection kinetics and link infection outcome (productive or not) with the cell state at the time of initial infection. We find that single cells differ in their preexisting susceptibility to HSV1, and that this is partially mediated by their cell-cycle position. We also identify specific changes in protein levels and localization in infected cells, attesting to the power of the dynamic proteomics approach for studying virus-host interactions.
Contamination as a major factor in poor Illumina assembly of microbial isolate genomes
Authors: Jeong Haeyoung , Pan Jae-Goo , Park Seung-Hwan 
Published: October 2016

ABSTRACTThe nonhybrid hierarchical assembly of PacBio long reads is becoming the most preferred method for obtaining genomes for microbial isolates. On the other hand, among massive numbers of Illumina sequencing reads produced, there is a slim chance of re-evaluating failed microbial genome assembly (high contig number, large total contig size, and/or the presence of low-depth contigs). We generated Illumina-type test datasets with various levels of sequencing error, pretreatment (trimming and error correction), repetitive sequences, contamination, and ploidy from both simulated and real sequencing data and applied k-mer abundance analysis to quickly detect possible diagnostic signatures of poor assemblies. Contamination was the only factor leading to poor assemblies for the test dataset derived from haploid microbial genomes, resulting in an extraordinary peak within low-frequency k-mer range. When thirteen Illumina sequencing reads of microbes belonging to generaBacillusorPaenibacillusfrom a single multiplexed run were subjected to a k-mer abundance analysis, all three samples leading to poor assemblies showed peculiar patterns of contamination. Read depth distribution along the contig length indicated that all problematic assemblies suffered from too many contigs with low average read coverage, where 1% to 15% of total reads were mapped to low-coverage contigs. We found that subsampling or filtering out reads having rare k-mers could efficiently remove low-level contaminants and greatly improve thede novoassemblies. An analysis of 16S rRNA genes recruited from reads or contigs and the application of read classification tools originally designed for metagenome analyses can help identify the source of a contamination. The unexpected presence of proteobacterial reads across multiple samples, which had no relevance to our lab environment, implies that such prevalent contamination might have occurred after the DNA preparation step, probably at the place where sequencing service was provided.
Natural selection and maladaptive plasticity in the red-shouldered soapberry bug
Authors: Cenzer M L 
Published: October 2016

AbstractNatural selection and phenotypic plasticity can both produce locally differentiated phenotypes, but novel environments or gene combinations can produce plasticity that works in opposition to adaptive change. The red-shouldered soapberry bug (Jadera haematoloma) was locally adapted to feed on the seeds of an introduced and a native host plant in Florida in the 1980s. By 2014, local differentiation was lost and replaced by phenotypically similar populations all adapted to the introduced host, likely as a result of gene flow. Here, I quantify the effects of these two host plants on individual performance, natural selection, and phenotypic plasticity. I find that the seed coat and seedpod of the native host have strong negative effects on juvenile survival and adult reproduction compared to the introduced host. I find support for the hypothesis that the seedpod is driving diversifying natural selection on beak length, which was previously locally adapted between hosts. I also find maladaptive plasticity induced by host plant: bugs develop beak lengths that are mismatched with the seedpod size of the host they are reared on. This plasticity may be the result of gene flow; hybrids in the 1990s showed the same pattern of maladaptive plasticity, and plasticity is stronger in the present in areas with high gene flow. Although ongoing natural selection has produced locally adapted genotypes in soapberry bugs, maladaptive plasticity has masked the phenotypic difference between populations in the field.
From Marshall’s Triad to Porter’s Diamond: added value?
Authors: Brosnan Stephen , Doyle Eleanor , O’Connor Sean 
Published: October 2016

Purpose
The purpose of this paper is to offer clarity on a central concept introduced in Porter’s The Competitive Advantage of Nations, i.e. the cluster. The authors situate the concept introduced by Porter (1990) relative to two of its antecedents, the industrial district and industrial complex. Placing the cluster in a historical context permits consideration of the extent to which it, as a concept for analysis, may be differentiated from other geography-based approaches to economic phenomena. In this way, this paper examines the added value of the cluster concept derived from economic factors.

Design/methodology/approach
The paper provides a detailed literature review tracing the evolution of theories of location and agglomeration into which Porter’s cluster fits. The evolution of Porter’s own conceptualisation of the cluster and how this relates to theoretical clarity surrounding the concept is explored. Comparative analysis of theories of location, agglomeration and clustering is provided to identify similarities and differences across the approaches and identify the added value of the cluster concept in relation to other approaches.

Findings
Clustering represents a process associated with spatial organisational form which may offer advantages in efficiency, effectiveness and flexibility. Cluster benefits can be appreciated through the lens of Young’s (1928) identified sources of increasing returns. A key aspect in clustering is revealed in terms of its role in enabling four sources of increasing returns. The authors outline how these sources of increasing returns are related to “soft” processes of networking, interaction and individual and collective learning. Porter’s Diamond is a self-reinforcing system which can permit increasing returns and reinforce such tendencies of economic activity within agglomerations.

Originality/value
Added value from Porter’s cluster concept is identified in the context of both its locational anchoring and in terms of its potential for understanding the role of exploitation of increasing returns for development. This points to the importance of focusing on clustering as a process rather than on cluster within typologies of organisational form. This implies that the nature of relationships (and how they change) within and across markets, institutions and actors lies at the heart of clustering because of their roles in knowledge-generation, including innovation, knowledge sharing and upgrading.
Methodology research of competitiveness and sample application for Turkey’s defense industry
Authors: Bilgen Hakki Ismail , Varoglu Abdulkadir 
Published: October 2016

Purpose
The main purpose of this paper is to develop a methodology to analyze the competitiveness based on the diamond model and constructing a composite index; the secondary aim is to apply this methodology to the national index of Turkey’s defense industry.

Design/methodology/approach
Instead of providing the results based only on diamond, a composite index study was carried out. The collected variables were distributed using subject-groups under determinants via an expert opinion survey. The variables were analyzed with alternative methods of imputation, normalization and aggregation. Factor analysis (FA) was performed with the aggregated values of each subject to find the years’ clusters.

Findings
Turkey’s diamond model indicated an improvement in defense industry between 1998-2010. And, FA revealed the clusters as 1998-2000, 2001-2007, 2008-2010. It was found that Turkey had an advantage in demand conditions but needs to give higher importance to factor conditions. In addition, the key provisions were catered to the issues related to government and the defense industry.

Research limitations/implications
Turkey’s competitiveness structure between 1998-2010 were researched.

Originality/value
This study provides a qualitative approach of the composite index to the quantitative side of the diamond model.
PLS FAC-SEM: an illustrated step-by-step guideline to obtain a unique insight in factorial data
Authors: Streukens Sandra , Leroi-Werelds Sara 
Published: October 2016

Purpose
The purpose of this paper is to provide an illustrated step-by-step guideline of the partial least squares factorial structural equation modeling (PLS FAC-SEM) approach. This approach allows researchers to assess whether and how model relationships vary as a function of an underlying factorial design, both in terms of the design factors in isolation (i.e. main effects) as well as their joint impact (i.e. interaction effects).

Design/methodology/approach
After an introduction of its building blocks as well as a comparison with related methods (i.e. n-way analysis of variance (ANOVA) and multi-group analysis (MGA)), a step-by-step guideline of the PLS FAC-SEM approach is presented. Each of the steps involved in the PLS FAC-SEM approach is illustrated using data from a customer value study.

Findings
On a methodological level, the key result of this research is the presentation of a generally applicable step-by-step guideline of the PLS FAC-SEM approach. On a context-specific level, the findings demonstrate how the predictive ability of several key customer value measurement methods depends on the type of offering (feel-think), the level of customer involvement (low-high), and their interaction (feel-think offerings×low-high involvement).

Originality/value
This is a first attempt to apply the factorial structural equation models (FAC-SEM) approach in a PLS-SEM context. Consistent with the general differences between PLS-SEM and covariance-based structural equation modeling (CB-SEM), the FAC-SEM approach, which was originally developed for CB-SEM, therefore becomes available for a larger amount of and different types of research situations.
The effect of perceived brand leadership on luxury service WOM
Authors: Chang Yonghwan , Ko Yong Jae , Leite Walter L. 
Published: October 2016

PurposeDespite the remarkable growth of the luxury industry, a phenomenon referred to as luxury fever, as well as the growing interest in word-of-mouth (WOM) marketing in the industry at hand, little is known about how consumers’ perceived leadership of luxury brands dynamically influences their WOM behavior. This paper aims to examine the moderating role of a type of luxuries (accessible vs inaccessible) in the relationship between the four dimensions of perceived brand leadership – quality, value, innovativeness and popularity – and consumers’ WOM recommendation intention.Design/methodology/approachThe current research is based on survey data gathered from 333 actual customers who attend five golf clubs located in North Florida. An innovative data analysis procedure that combines structural equation modeling with propensity score analysis to estimate the moderating effects, controlling for selection bias, is presented.FindingsQuality was the significant predictor of WOM among consumers of inaccessible luxuries (private club). In contrast, financial value and popularity were key factors in predicting WOM of individuals who chose accessible luxuries (public club).Originality/valueThis paper attempts to shed new light on the field of strategic luxury marketing by addressing differential consumption decision-making processes corresponding to hierarchically constructed luxury services. In addition, an innovative way is suggested to achieve covariates’ balance in the examinations of latent variables and multisampling models for observational research.
Change is hard: overcoming barriers to service innovation
Authors: Parris Denise Linda , Bouchet Adrien , Welty Peachey Jon , Arnold Danny 
Published: October 2016

PurposeCreating value through service innovation requires new processes and ways of communicating to multiple stakeholders. Institutions and stakeholders within the service ecosystem, however, often resist change. Adopting a new service strategy entails two distinct costs – monetary and psychological. The tensions between an organization’s need to generate incremental revenue and the challenges of balancing business as usual and the costs associated with service innovation are explored. Specifically, this paper aims to explore the adoption of a customer relationship management (CRM) technology solution in a bureaucratic setting, and the sequence of events needed for successful implementation, with emphasis on overcoming various barriers and hurdles.Design/methodology/approachA case study methodology is used to gather and analyze data on how the Arizona State University (ASU) athletic department responded to the changing competitive environment via adopting a CRM technology solution. Data collection consisted of ten semi-structured interviews.FindingsThe experience of ASU illustrates that the primary benefits of a CRM technology solution include the generation of incremental revenue, capturing data and personalized marketing. The main challenges are coordinating adoption, obtaining commitment, developing competency, estimating costs and creating content.Research limitations/implicationsA conceptual framework emerged from the data that describes the likelihood of a service technology’s successful implementation based upon the interaction of the strength of key actors, organizational situation perception and organizational commitment. The model extends the proposed duality of service innovation outcomes as either success or failure to acknowledge the likelihood of a partial implementation where marginal success is achieved.Practical implicationsThe sequence of events needed for successful implementation of a service technology is highlighted, with emphasis on overcoming various barriers and hurdles. Implementation steps are provided, as well as a model to help pinpoint issues.Originality/valueThe case study provides insight for overcoming pitfalls and barriers to adopting a new service technology in a traditionally bureaucratic organization where resistance to change is the norm, and innovation is not.
A quantitative approach to segmentation for prescription drug safety programs
Authors: Lefebvre R. Craig , McCormack Lauren , Taylor Olivia , Bann Carla , Rausch Paula 
Published: October 2016

Purpose
The aim of this paper is to enhance the effectiveness of pharmacovigilance programs that provide information about medical products to benefit consumers, aid health care professional’s decision-making and improve community health. This research sought to determine whether distinct segments of consumers can be identified for prescription drug safety social marketing and communication activities and if these segments would respond differently to information about prescription drug products.

Design/methodology/approach
Theories of risk information-seeking behavior were used to develop questions for respondents in an online survey panel. Latent class analyses identified clusters that were similar in their ability to accurately interpret risks and benefits, preferred sources of health information, medication use and other related factors. Multinomial logistic regression models identified demographic and psychographic differences across the segments. Logistic and linear regression models were then used to compare each segment’s responses to a specific drug safety information product.

Findings
The 1,244 respondents were clustered into four segments: not engaged (12 per cent), low-involvement users (29 per cent), careful users (50 per cent) and social information seekers (9 per cent). These segments were distinguished by perceived seeking control, self-appraisal of skill, information insufficiency, self-efficacy, information competency and health literacy. Sources of health information and health-seeking behaviors were also different across the four segments. Significant differences were found among the segments in their comprehension and perceived utility of the content and their intentions to take relevant actions.

Practical implications
From an array of potential behavioral influences, adults can be segmented by risk information-seeking constructs and related behaviors. These segments respond differently to drug safety information. Use of the personas developed in this work can help pharmacovigilance programs around the world develop more relevant and tailored social marketing products, services and content.

Originality/value
A social marketing approach using empirically tested theoretical constructs can be useful for drug safety or pharmacovigilance programs. The results were used to create personas that quickly convey relevant information to drug safety program managers and staff.