bluuebunny/crossref_metadata_2025_split huggingface dataset:
Much too new to eat it? Customer value and its impact on consumer-product relationship in the context of novel food products
Authors: Perrea Toula , Krystallis Athanasios , Engelgreen Charlotte , Chrysochou Polymeros 
Published: August 2017

Purpose
The paper aims to address the issue of how customer value is created in the context of novel food products and how customer value influences product evaluation.

Design/methodology/approach
The study proposes a model formed by a series of causal relations among value (i.e. functional, social, hedonic, altruistic values) and cost perceptions (i.e. price, effort, evaluation costs, performance and product safety), their trade-offs (i.e. overall customer value) and product evaluation outcomes (i.e. satisfaction, trust).

Findings
Despite doubts about certain search (information), credence (safety) and experience (taste) attributes, perceptions about product quality, likeability and ethical image predominantly formulate customer value, indicating novel products’ potential to be evaluated positively by consumers.

Research limitations/implications
The proposed model advances knowledge in the context of product innovation. Contrary to past research that focuses on consumer attitudes towards a manufacturing technology and individual technology-specific risks and benefits, the customer value approach refers to novel product-related consumer attitudes conceptualized as overall customer value; the latter results from product-related value-cost trade-offs, leading towards specific consumer–product evaluations.

Practical implications
The customer value approach refers to the value from the adoption of a new product that underlies a relevant set of product attributes (e.g. quality, image, sustainability, price, convenience, taste, safety, etc.) Focusing on product attributes that generate gain – loss perceptions impactful on consumer – product evaluations is highly relevant for product managers concerned with new product development.

Originality/value
The originality of this work lies in the successful contextualization and testing of an inclusive model that comprises both emotional and rational components, operational at the product level, to generate substantial insights on the widely unexplored interplay between consumer – perceived customer value and the generation of consumer – product evaluation outcomes.
Modeling the implicit brand: capturing the hidden drivers
Authors: Vriens Marco , Martins Alves Alessandro 
Published: August 2017

PurposeThis paper aims to investigate modeling implicit attitudes as potential drivers of overall brand attitudes and stated behavior and investigate how the results are expected to be different from brand driver models that are based on explicit attitudes.Design/methodology/approachData are collected via online surveys in five countries across 15 categories with sample sizes for each category/country combination in the range of aboutN= 1,000.FindingsImplicit attitudes result in a higher number of significant effects than their explicit counterparts when used to explain behavioral intentions, brand closeness and brand usage in a multivariate situation with potential 12 brand attitude drivers. The authors also find fewer counter-intuitive effects in the implicit models. The results are consistent across 5 countries and across 15 categories (including CPG products, services and durable goods). They also show that implicit attitudes are less susceptible to response style effects (e.g. social desirability bias).Research limitations/implicationsThe findings have implications for brand building and shopper activation. Further research should look into the impact of using implicit data on finding different brand segmentation and brand mapping results.Practical implicationsThe findings have implications for brand building and shopper activation.Originality/valueThis paper contributes to the fast-growing field of implicit attitudes. The paper confirms and generalizes previous findings. This is the first paper to the authors’ knowledge that has investigated the impact of implicit attitudes on overall brand attitudes and stated behavior in a multivariate context.
Impact of reporting delays on profitability of front-running strategies against mutual funds
Authors: Parida Sitikantha 
Published: August 2017

Purpose
The purpose of this paper is to investigate if there is any impact of reporting delays on profitability of front-running strategies against the mutual funds.

Design/methodology/approach
The author studies if freshness of mutual fund holding information from public disclosures affects precision of flow-based front-running strategies against the funds and if the allowed 60-day reporting delay is able to protect the funds from these front-running activities against them.

Findings
Assuming no reporting delay, the author finds that returns from hypothetical front-running strategies are significant, when these are based on the most recent holding information and are not significant, when based on relatively old holding information. Interestingly, these front-running returns appear to be mostly driven by anticipated forced buys by the mutual funds (rather than anticipated forced sales). The return from a front-running strategy long on anticipated forced buys is higher when it is based on relatively illiquid assets. The author also finds that return from a front-running strategy short on anticipated forced sales is significant, when it is based on illiquid assets from relatively old holding information.

Practical implications
Hence, it appears that the allowed 60-day reporting delay is able to protect most of the funds from front-running activities against them, except for the funds holding illiquid assets from anticipated forced sales motivated front-running activities against them.

Originality/value
The paper addresses an interesting question, which has not been studied before – if freshness of fund holding information helps the front-running strategies against the funds and if the allowed reporting delay is effective in protecting the funds from these activities.
Generation of a non‐transmissive Borna disease virus vector lacking both matrix and glycoprotein genes
Authors: Fujino Kan , Yamamoto Yusuke , Daito Takuji , Makino Akiko , Honda Tomoyuki , Tomonaga Keizo 
Published: August 2017

ABSTRACTBorna disease virus (BoDV), a prototype of mammalian bornavirus, is a non‐segmented, negative strand RNA virus that often causes severe neurological disorders in infected animals, including horses and sheep. Unique among animal RNA viruses, BoDV transcribes and replicates non‐cytopathically in the cell nucleus, leading to establishment of long‐lasting persistent infection. This striking feature of BoDV indicates its potential as an RNA virus vector system. It has previously been demonstrated by our team that recombinant BoDV (rBoDV) lacking an envelope glycoprotein (G) gene develops persistent infections in transduced cells without loss of the viral genome. In this study, a novel non‐transmissive rBoDV, rBoDV ΔMG, which lacks both matrix (M) and G genes in the genome, is reported. rBoDV‐ΔMG expressing green fluorescence protein (GFP), rBoDV ΔMG‐GFP, was efficiently generated in Vero/MG cells stably expressing both BoDV M and G proteins. Infection with rBoDV ΔMG‐GFP was persistently maintained in the parent Vero cells without propagation within cell culture. The optimal ratio of M and G for efficient viral particle production by transient transfection of M and G expression plasmids into cells persistently infected with rBoDV ΔMG‐GFP was also demonstrated. These findings indicate that the rBoDV ΔMG‐based BoDV vector may provide an extremely safe virus vector system and could be a novel strategy for investigating the function of M and G proteins and the host range of bornaviruses.
Unformulated experience, dissociation, and Nachträglichkeit
Authors: Stern Donnel B. 
Published: August 2017

AbstractThe paper is divided into two parts. The first part is an interpersonal/relational psychoanalytic account of some relationships between dissociation, time, and unformulated experience. Trauma, and the dissociation to which trauma leads, freezes time, which makes it impossible to formulate certain kinds of new experience. Instead, potential new meanings remain unformulated. The route of clinical access to frozen time is the interpersonal field: to thaw time and allow new experience, the ways in which the interpersonal field is itself frozen need to be addressed. A clinical illustration of these ideas is offered. The second part of the paper presents and explores a point of confluence between the views in Part 1 and certain aspects of French psychoanalysis, with particular reference to the concept of Nachträglichkeit in the work of Jean Laplanche and Haydée Faimberg.
Legitimacy through targeted transparency? Regulatory effectiveness and sustainability of lobbying regulation in the European Union
Authors: BUNEA ADRIANA 
Published: August 2017

AbstractRegulating interest groups’ access to decision makers constitutes a key dimension of legitimate and accountable systems of government. The European Union explicitly links lobbying regulation with the democratic credentials of its supranational system of governance and proposes transparency as a solution to increase legitimacy and regulate private actors’ participation in policy making. This lobbying regulation regime consists of a Transparency Register that conditions access to decision makers upon joining it and complying with its information disclosure requirements. The extent to which transparency‐based regulatory regimes are successful in ensuring effective regulation of targeted actors and in being recognised as a legitimate instrument of governance constitutes a key empirical question. Therefore, the study asks: Do stakeholders perceive the transparency‐based EU lobbying regulation regime to be a legitimate form of regulatory governance? The study answers by building on a classic model of targeted transparency and proposes perceived regulatoryeffectivenessandsustainabilityas two key dimensions on which to evaluate the legitimacy of the Register. The arguments are tested on a new dataset reporting the evaluations of 1,374 stakeholders on the design and performance of the EU lobbying regulation regime. The findings describe a transparency regime that scoreslow in perceived effectivenessandmoderate to low in sustainability. Citizens criticise the quality of information disclosed and the Register's performance as a transparency instrument. The Register did not effectively bridge the information gap between the public and interest groups about supranational lobbying. In terms of sustainability, interest organisations appreciate the systemic benefits of transparency, but identify few organisation‐level benefits. Organisations that are policy insiders incur more transparency costs so they instrumentally support transparency only insofar it suits their lobbying strategies and does not threaten their position. Insiders support including additional categories of organisations in the Register's regulatory remit but not more types of interactions with policy makers. They support an imperfect regulatory status quo to which they have adapted but lack incentives to support increased transparency and information disclosure. Targeted transparency proves an ineffective approach to regulating interest groups’ participation in EU policy making, constituting a suboptimal choice for ensuring transparent, accountable and legitimate supranational lobbying.
Development of the Learning Health System Researcher Core Competencies
Authors: Forrest Christopher B. , Chesley Francis D. , Tregear Michelle L. , Mistry Kamila B. 
Published: August 2017

ObjectiveTo develop core competencies for learning health system (LHS) researchers to guide the development of training programs.Data Sources/Study SettingData were obtained from literature review, expert interviews, a modified Delphi process, and consensus development meetings.Study DesignThe competencies were developed from August to December 2016 using qualitative methods.Data Collection/Extraction MethodsThe literature review formed the basis for the initial draft of a competency domain framework. Key informant semi‐structured interviews, a modified Delphi survey, and three expert panel (n = 19 members) consensus development meetings produced the final set of competencies.Principal FindingsThe iterative development process yielded seven competency domains: (1) systems science; (2) research questions and standards of scientific evidence; (3) research methods; (4) informatics; (5) ethics of research and implementation in health systems; (6) improvement and implementation science; and (7) engagement, leadership, and research management. A total of 33 core competencies were prioritized across these seven domains. The real‐world milieu of LHS research, the embeddedness of the researcher within the health system, and engagement of stakeholders are distinguishing characteristics of this emerging field.ConclusionsThe LHS researcher core competencies can be used to guide the development of learning objectives, evaluation methods, and curricula for training programs.
Structure_threader: An improved method for automation and parallelization of programs structure, fastStructure and MavericK on multicore CPU systems
Authors: Pina‐Martins Francisco , Silva Diogo N. , Fino Joana , Paulo Octávio S. 
Published: August 2017

AbstractStructure_threader is a program to parallelize multiple runs of genetic clustering software that does not make use of multithreading technology (structure, fastStructure and MavericK) on multicore computers. Our approach was benchmarked across multiple systems and displayed great speed improvements relative to the single‐threaded implementation, scaling very close to linearly with the number of physical cores used. Structure_threader was compared to previous software written for the same task—ParallelStructure and StrAuto and was proven to be the faster (up to 25% faster) wrapper under all tested scenarios. Furthermore, Structure_threader can perform several automatic and convenient operations, assisting the user in assessing the most biologically likely value of ‘K’ via implementations such as the “Evanno,” or “Thermodynamic Integration” tests and automatically draw the “meanQ” plots (static or interactive) for each value of K (or even combined plots). Structure_threader is written in python 3 and licensed under the GPLv3. It can be downloaded free of charge at https://github.com/StuntsPT/Structure_threader.
A from‐benchtop‐to‐desktop workflow for validating HTS data and for taxonomic identification in diet metabarcoding studies
Authors: Corse Emmanuel , Meglécz Emese , Archambaud Gaït , Ardisson Morgane , Martin Jean‐François , Tougard Christelle , Chappaz Rémi , Dubut Vincent 
Published: August 2017

AbstractThe main objective of this work was to develop and validate a robust and reliable “from‐benchtop‐to‐desktop” metabarcoding workflow to investigate the diet of invertebrate‐eaters. We applied our workflow to faecal DNA samples of an invertebrate‐eating fish species. A fragment of the cytochrome c oxidase I (COI) gene was amplified by combining two minibarcoding primer sets to maximize the taxonomic coverage. Amplicons were sequenced by an Illumina MiSeq platform. We developed a filtering approach based on a series of nonarbitrary thresholds established from control samples and from molecular replicates to address the elimination of cross‐contamination, PCR/sequencing errors and mistagging artefacts. This resulted in a conservative and informative metabarcoding data set. We developed a taxonomic assignment procedure that combines different approaches and that allowed the identification of ~75% of invertebrate COI variants to the species level. Moreover, based on the diversity of the variants, we introduced a semiquantitative statistic in our diet study, the minimum number of individuals, which is based on the number of distinct variants in each sample. The metabarcoding approach described in this article may guide future diet studies that aim to produce robust data sets associated with a fine and accurate identification of prey items.
Development of genome‐ and transcriptome‐derived microsatellites in related species of snapping shrimps with highly duplicated genomes
Authors: Gaynor Kaitlyn M. , Solomon Joseph W. , Siller Stefanie , Jessell Linnet , Duffy J. Emmett , Rubenstein Dustin R. 
Published: August 2017

AbstractMolecular markers are powerful tools for studying patterns of relatedness and parentage within populations and for making inferences about social evolution. However, the development of molecular markers for simultaneous study of multiple species presents challenges, particularly when species exhibit genome duplication or polyploidy. We developed microsatellite markers for Synalpheus shrimp, a genus in which species exhibit not only great variation in social organization, but also interspecific variation in genome size and partial genome duplication. From the four primary clades within Synalpheus, we identified microsatellites in the genomes of four species and in the consensus transcriptome of two species. Ultimately, we designed and tested primers for 143 microsatellite markers across 25 species. Although the majority of markers were disomic, many markers were polysomic for certain species. Surprisingly, we found no relationship between genome size and the number of polysomic markers. As expected, markers developed for a given species amplified better for closely related species than for more distant relatives. Finally, the markers developed from the transcriptome were more likely to work successfully and to be disomic than those developed from the genome, suggesting that consensus transcriptomes are likely to be conserved across species. Our findings suggest that the transcriptome, particularly consensus sequences from multiple species, can be a valuable source of molecular markers for taxa with complex, duplicated genomes.
The influence of meal size on prey DNA detectability in piscivorous birds
Authors: Thalinger Bettina , Oehm Johannes , Obwexer Armin , Traugott Michael 
Published: August 2017

AbstractMolecular methods allow noninvasive assessment of vertebrate predator–prey systems at high taxonomic resolution by examining dietary samples such as faeces and pellets. To facilitate the interpretation of field‐derived data, feeding trials, investigating the impacts of biological, methodological and environmental factors on prey DNA detection, have been conducted. The effect of meal size, however, has not yet been explicitly considered for vertebrate consumers. Moreover, different noninvasively obtained sample types remain to be compared in such experiments. Here, we present a feeding trial on abundant piscivorous birds, Great Cormorants (Phalacrocorax carbo), to assess meal size effects on postfeeding prey DNA detection success. Faeces and pellets were sampled twice a day after the feed of large (350–540 g), medium (190–345 g) and small (15–170 g) fish meals contributing either a large (>79%) or small (<38%) share to the daily consumption. Samples were examined for prey DNA and fish hard parts. Molecular analysis of faeces revealed that both large meal size and share had a significantly positive effect on prey DNA detection rate postfeeding. Furthermore, large meals were detectable for a significantly longer time span with a detection limit at ~76 hr and a 50% detection probability at ~32 hr postfeeding. In pellets, molecular methods reliably identified the meal consumed the previous day, which was not possible via morphological analysis or when examining individual faeces. The less reliable prey DNA detection of small meals or meal shares in faeces signifies the importance of large numbers of dietary samples to obtain reliable trophic data.
Using in situ hybridization to expand the daily egg production method to new fish species
Authors: Oxley Andrew P. A. , Catalano Sarah R. , Wos‐Oxley Melissa L. , Westlake Emma L. , Grammer Gretchen L. , Steer Mike A. 
Published: August 2017

AbstractThe capacity to reliably identify fish eggs is critical in the application of the daily egg production method (DEPM) to estimate biomass of commercially important species. This application has largely been confined to species that have easily identifiable eggs. Various molecular strategies have been used to extend the DEPM to a broader range of species, with recent approaches like in situ hybridization (ISH) that preserves the integrity of whole eggs, embryos or larvae recommended as a suitable alternative over destructive procedures like PCR. Here, we designed and validated an ISH approach for the identification of whole eggs and larvae from Snapper (Chrysophrys auratus) from environmental samples using the mitochondrial 16S rRNA gene as a target for specific horseradish peroxidase (HRP)‐conjugated oligonucleotide probes. This colorimetric assay allowed the highly specific detection of positive hybridization signals from intact C. auratus larvae and eggs from mixed‐species samples comprising closely related taxa. Furthermore, evaluation of whole eggs across a range of developmental stages revealed the sensitivity of the approach for discerning early stages, thereby guiding staging and the identification of otherwise indistinguishable eggs from environmental samples. This approach represents a major advance from current molecular‐based strategies as it is nondestructive and allows for the simultaneous identification and staging of fish eggs (and larvae). The resultant 100% egg identification certainty we have achieved allows the DEPM to be applied to a wider array of fish species and is particularly applicable to species in areas where morphologically similar eggs are being spawned at the same time.
Effects of sampling close relatives on some elementary population genetics analyses
Authors: Wang Jinliang 
Published: August 2017

AbstractMany molecular ecology analyses assume the genotyped individuals are sampled at random from a population and thus are representative of the population. Realistically, however, a sample may contain excessive close relatives (ECR) because, for example, localized juveniles are drawn from fecund species. Our knowledge is limited about how ECR affect the routinely conducted elementary genetics analyses, and how ECR are best dealt with to yield unbiased and accurate parameter estimates. This study quantifies the effects of ECR on some popular population genetics analyses of marker data, including the estimation of allele frequencies, F‐statistics, expected heterozygosity (He), effective and observed numbers of alleles, and the tests of Hardy–Weinberg equilibrium (HWE) and linkage equilibrium (LE). It also investigates several strategies for handling ECR to mitigate their impact and to yield accurate parameter estimates. My analytical work, assisted by simulations, shows that ECR have large and global effects on all of the above marker analyses. The naïve approach of simply ignoring ECR could yield low‐precision and often biased parameter estimates, and could cause too many false rejections of HWE and LE. The bold approach, which simply identifies and removes ECR, and the cautious approach, which estimates target parameters (e.g., He) by accounting for ECR and using naïve allele frequency estimates, eliminate the bias and the false HWE and LE rejections, but could reduce estimation precision substantially. The likelihood approach, which accounts for ECR in estimating allele frequencies and thus target parameters relying on allele frequencies, usually yields unbiased and the most accurate parameter estimates. Which of the four approaches is the most effective and efficient may depend on the particular marker analysis to be conducted. The results are discussed in the context of using marker data for understanding population properties and marker properties.