bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolic adaptability in metastatic breast cancer by AKR1B10-dependent balancing of glycolysis and fatty acid oxidation
Authors: van Weverwijk Antoinette , Koundouros Nikolaos , Iravani Marjan , Ashenden Matthew , Gao Qiong , Poulogiannis George , Jungwirth Ute , Isacke Clare M. 
Published: July 2018

AbstractThe different stages of the metastatic cascade present distinct metabolic challenges to tumour cells and an altered tumour metabolism associated with successful metastatic colonisation provides a therapeutic vulnerability in disseminated disease. We identify the aldo-keto reductase AKR1B10 as a metastasis enhancer that has little impact on primary tumour growth or dissemination but promotes effective tumour growth in secondary sites and, in human disease, is associated with an increased risk of distant metastatic relapse. AKR1B10Hightumour cells have reduced glycolytic capacity and dependency on glucose as fuel source but increased utilisation of fatty acid oxidation. Conversely, in both 3D tumour spheroid assays andin vivometastasis assays, inhibition of fatty acid oxidation blocks AKR1B10High-enhanced metastatic colonisation with no impact on AKR1B10Lowcells. Finally, mechanistic analysis supports a model in which AKR1B10 serves to limit the toxic side effects of oxidative stress thereby sustaining fatty acid oxidation in metabolically challenging metastatic environments.
The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli
Authors: Brady Timothy F. , Alvarez George A. , Störmer Viola S. 
Published: July 2018

AbstractHow people process images is known to affect memory for those images, but these effects have typically been studied using explicit task instructions to vary encoding. Here, we investigate the effects of intrinsic variation in processing on subsequent memory, testing whether recognizing an ambiguous stimulus as meaningful (as a face vs. as shape blobs) predicts subsequent visual memory even when matching the perceptual features and the encoding strategy between subsequently remembered and subsequently forgotten items. We show that single trial EEG activity can predict whether participants will subsequently remember an ambiguous Mooney face image (e.g., an image that will sometimes be seen as a face and sometimes not be seen as a face). In addition, we show that a classifier trained only to discriminate between whether participants perceive a face vs. non-face can generalize to predict whether an ambiguous image is subsequently remembered. Furthermore, when we examine the N170, an ERP index of face processing, we find that images that elicit larger N170s are more likely to be remembered than those that elicit smaller N170s, even when the exact same image elicited larger or smaller N170s across participants. Thus, images processed as meaningful – in this case as a face–during encoding are better remembered than identical images that are not processed as a face. This provides strong evidence that understanding the meaning of a stimulus during encoding plays a critical role in visual memory.Significance StatementIs visual memory inherently visual or does meaning and other conceptual information necessarily play a role even in memory for detailed visual information? Here we show that it’s easier to remember an image when it’s processed in a meaningful way -- as indexed by the amount of category-specific brain activity it elicits. In particular, we use single-trial EEG activity to predict whether an image will be subsequently remembered, and show that the main driver of this prediction ability is whether or not an image is seen as meaningful or non-meaningful. This shows that the extent to which an image is processed as meaningful can be used to predict subsequent memory even when controlling for perceptual factors and encoding strategies that typically differ across images.
Polymorphism within the mitochondrial genome of the ctenophore, Pleurobrachia bachei and its ongoing rapid evolution
Authors: Kohn Andrea B. , Moroz Leonid L. 
Published: July 2018

AbstractThe mitochondrial genomes in ctenophores are among the most compact in the animal kingdom with multiple rearrangements and examples of gene loss. Here, by resequencing of the Pleurobrachia bachei mitochondrial genome, we show that the high level of polymorphism (>10%) in Pleurobrachia might contribute to the ongoing fast evolution of ctenophores including the presence of truncated versions of apparently canonical genes such as cox1. Second, the codon interpretations in ctenophores, without robust proteomic data related to mitochondrial genes, is still a challenging issue, which is open for future experimental analyses.
Association of Facial Aging with DNA Methylation and Epigenetic Age Predictions
Authors: Marioni Riccardo E , Belsky Daniel W , Deary Ian J , Wagner Wolfgang 
Published: July 2018

AbstractEvaluation of biological age, as opposed to chronological age, is of high relevance for interventions to increase healthy aging. Highly reproducible age-associated DNA methylation (DNAm) changes can be integrated into algorithms for epigenetic age predictions. These predictors have mostly been trained to correlate with chronological age, but they are also indicative for biological aging. For example accelerated epigenetic age of blood is associated with higher risk of all-cause mortality in later life. The perceived age of facial images (face-age) is also associated with all-cause mortality and other aging-associated traits. In this study, we therefore tested the hypothesis that an epigenetic predictor for biological age might be trained on face-age as surrogate for biological age, rather than on chronological age. Our data demonstrate that facial aging and DNAm changes in blood provide two independent measures for biological aging.
Evolutionary dynamics of specialization in herbivorous stick insects
Authors: Chloé Larose , Sergio Rasmann , Tanja Schwander 
Published: July 2018

AbstractUnderstanding the evolutionary dynamics underlying herbivorous insect mega-diversity requires investigating the ability of insects to shift and adapt to different host plants. Feeding experiments with nine related stick insect species revealed that insects retain the ability to use ancestral host plants after shifting to novel hosts, with host plant shifts generating fundamental feeding niche expansions. These expansions were not accompanied by expansions of the realized feeding niches however, as species on novel hosts are generally ecologically specialized. For shifts from angiosperm to chemically challenging conifer hosts, generalist fundamental feeding niches even evolved jointly with strong host plant specialization, indicating that host plant specialization is more likely driven by species interactions than by constraints imposed by plant chemistry. By coupling analyses of plant chemical compounds, fundamental and ecological feeding niches in multiple insect species, we provide novel insights into the evolutionary dynamics of host range expansion and contraction in herbivorous insects.
Consumer emotional brand attachment with social media brands and social media brand equity
Authors: Dwivedi Abhishek , Johnson Lester W. , Wilkie Dean Charles , De Araujo-Gil Luciana 
Published: July 2018

PurposeThe ever-growing popularity of social media platforms is evidence of consumers engaging emotionally with these brands. Given the prominence of social media in society, the purpose of this paper is to understand social media platforms from a “brand” perspective through examining the effect of consumers’ emotional attachment on social media consumer-based brand equity (CBBE).Design/methodology/approachThis paper develops a model that outlines how emotional brand attachment with social media explains social media CBBE via shaping consumer perceptions of brand credibility and consumer satisfaction. An online survey of 340 Australian social media consumers provided data for empirical testing. The inclusion of multiple context-relevant covariates and use of a method-variance-adjusted data matrix, as well as an examination of an alternative model, adds robustness to the results.FindingsThe findings of this paper support the conceptual model, and the authors identify strong relationships between the focal variables. A phantom model analysis explicates specific indirect effects of emotional brand attachment on CBBE. The authors also find support for a fully mediated effect of emotional brand attachment on social media brand equity. Further, they broaden the nomological network of emotional brand attachment, outlining key outcomes.Research limitations/implicationsThis paper offers a conceptual mechanism (a chain-of-effects) of how consumer emotional brand attachment with social media brands translates into social media CBBE. It also finds that a brand’s credibility as well as its ability to perform against consumer expectations (i.e. satisfaction) are equally effective in translating emotional brand attachment into social media CBBE.Practical implicationsSocial media brands are constantly challenged by rapid change and ongoing criticism over such issues as data privacy. The implications from this paper suggest that managers should make investments in creating (reinforcing) emotional connections with social media consumers, as this will favorably impact CBBE by way of a relational mechanism, that is, via enhancing credibility and consumer satisfaction.Social implicationsLately, social media in general has suffered from a crisis of trust in society. The enhanced credibility of social media brands resulting from consumers’ emotional attachments will potentially serve to enhance its acceptance as a credible form of media in society.Originality/valueSocial media platforms are often examined as brand-building platforms. This paper adopts a different perspective, examining social media platforms as brands per se and the effects of emotional attachments that consumers develop towards these. This paper offers valuable insights into how consumers’ emotional attachments drive vital brand judgments such as credibility and satisfaction, ultimately culminating into social media CBBE.
Research on construction and application of an evaluation system for regional road traffic safety
Authors: Cao Bing-ru , Cao Hui-Hui , Liu Yong 
Published: July 2018

Purpose
The purpose of this paper is to construct a novel grey incidence evaluation model to investigate a scientific and effective evaluation system of regional road traffic safety.

Design/methodology/approach
To provide a method for the evaluation of regional road traffic safety, the grey incidence feature vector method is employed to construct the evaluation index system for regional road traffic safety and then the index weights are calculated with Shannon entropy method. In this paper, the grey incidence feature vector method and grey incidence analysis are utilised to construct evaluation index systems for regional road traffic safety and determine the index weights. Then a grey incidence-ideal point method is used to establish a novel evaluation model for regional road traffic safety. To thoroughly investigate the road traffic safety in one region, the data of 13 cities in Jiangsu province is gathered, using the grey clustering and grey incidence-ideal point method to obtain the ranking results of the 13 cities.

Findings
The results provide a basic analysis of the present situation and show the differences for these regions based on the proposed model, according to which several solutions are proposed, aiming to improve regional road traffic safety situation.

Practical implications
The method exposed in the paper can be used to deal with the problems of the evaluation of regional road traffic safety.

Originality/value
The paper succeeds in understanding the status quo and implementing effective road traffic safety management based on the proposed model.
Leveraging informational and relational capabilities for performance
Authors: Yang Jie , Xie Hongming , Liu Haiwei , Duan Haoran 
Published: July 2018

Purpose
The purpose of this paper is to examine the antecedents and consequences of operational collaboration of a buyer and its key supplier in economic exchanges in a supply chain.

Design/methodology/approach
The analyses of the sample data collected from Chinese manufacturers in this study include measurement model and structural model using structural equation modeling.

Findings
It shows that firm IT capabilities and supplier relationship management are positively associated with operational collaboration, which in turn enhances dyadic quality performance through improved process efficiency.

Research limitations/implications
Drawn upon the resource-based view and social contagion theory, it explained the intention of forming an operational collaboration in a buyer – supplier relationship employing a motivation-opportunity scheme. Second, the findings greatly advance our understanding of the indirect linkage between IT capability and quality conformance of the dyads.

Practical implications
This study suggests that practitioners should enhance the IT capability of their firms as well as implement supplier relationship management program in the organizations so that the buying firms can exchange cost information, provide assistance and pursue joint investments with their suppliers with the facilitation of advanced IT capabilities.

Social implications
Emerging market manufacturers are suggested to take measures to reduce transaction cost and cycle time uncertainty for quality assurance.

Originality/value
First, this study empirically explored the determinants of effective operational collaboration from the lens of motivation-opportunity scheme through integrating resource-based view and social contagion theory. Second, it examined the effect of operational collaboration on dyadic quality performance for both buyers and suppliers. Third, it examined the drivers of effective operational collaboration in the context of Chinese manufacturers.
Marketing Pinotage to South African student millennials
Authors: Vannevel Margaux , Vink Nick , Brand Jeanne , Panzeri Valeria 
Published: July 2018

Purpose
The purpose of this study is to investigate the relevance of expert opinions as a marketing tool for Pinotage amongst young South African student millennials by means of sensory hedonic testing.

Design/methodology/approach
Sensory hedonic testing was used because it is necessary to examine the extent to which extrinsic cues influence a wine’s intrinsic merit, as this can influence future purchase decisions. Thus, it combines marketing factors and sensory science and explores the sensory liking of food products by consumers. A total of 126 South African student millennial consumers were analysed.

Findings
The results confirm that expert opinions are an effective marketing tool. While positive expert opinions did not reinforce perceived quality for already generally liked wines, they increased perceived quality for wines that were not liked. Female student millennials specifically seem to be influenced by expert opinions and packaging, even though they show a relative dislike for Pinotage under blind tasting. These results are useful in the design of marketing strategies.

Research limitations/implications
Because of the chosen research approach, it may be difficult to generalize the research results. However, future research could apply this methodology to investigate the perceived quality of wine and other food products in different countries. Furthermore, replicating this study could provide interesting comparative results.

Originality/value
Little is known about the liking for Pinotage wines by young South African consumers or about the cues that make them respond positively to marketing.
Consumer wine knowledge: components and segments
Authors: Ellis Debbie , Caruana Albert 
Published: July 2018

Purpose
What consumers know about a product affects many aspects of their behaviour and is particularly important for marketers to understand when it comes to developing marketing strategy. The purpose of this paper is to understand the components of consumer knowledge of wine and to investigate these as a potential basis for wine market segmentation and targeting.

Design/methodology/approach
A quantitative, descriptive research design is adopted. An online survey consisting of three sections, measuring objective knowledge, subjective knowledge and classificatory variables, was developed and fielded, and data were collected from US wine consumers via Amazon.com’s MTurk platform. The psychometric properties of the measures used were determined, and a two-dimensional segmentation typology was developed.

Findings
The study supported the positive relationship between objective and subjective wine knowledge, while the combination of the two components led to the identification of four groups of consumers titled: neophytes, snobs, modest and experts.

Practical implications
In a market that is highly fragmented, consumer knowledge about wine has been shown to provide a useful basis for wine market segmentation allowing for different marketing activities to target the four groups identified.

Originality/value
While other research has considered either objective or subjective knowledge on its own, this study’s major contribution is the investigation of the wine consumer segments on the basis of the combination of objective and subjective consumer knowledge. A consumer knowledge type grid is developed that has implications for marketing segmentation and targeting. Implications of this new typology for future research are identified.
Studying coopetition in a wine industry context: directions for future research
Authors: Crick James M. 
Published: July 2018

Purpose
The purpose of this paper is to highlight the theoretical and methodological value of studying coopetition (the interplay between cooperation and competition) in a wine industry context.

Design/methodology/approach
Key publications surrounding wine industries across multiple countries were reviewed to understand how the wine industry is a highly appropriate empirical context to investigate coopetition.

Findings
The findings revealed that the wine industry is a highly suitable empirical context for researchers to explore coopetition. Specifically, being a highly cooperative and competitive market, the wine industry provides a unique outlook into how coopetition is managed.

Originality/value
This paper helps scholars to appreciate the theoretical and methodological benefits of using a wine industry context to evaluate coopetition. Hence, scholars should use the wine industry to obtain rich empirical data surrounding coopetition. The paper ends with a set of recommendations for future research.
Motion and path planning of a novel multi-mode mobile parallel robot based on chessboard-shaped grid division
Authors: Wang Zhaotian , Li Yezhuo , Yao Yan-An 
Published: July 2018

Purpose
The purpose of this paper is to put forward a rolling assistant robot with two rolling modes, and the multi-mode rolling motion strategy with path planning algorithm, which is suitable to this multi-mode mobile robot, is proposed based on chessboard-shaped grid division (CGD).

Design/methodology/approach
Based on the kinematic analysis and motion properties of the mobile parallel robot, the motion strategy based on CGD path planning algorithm of a mobile robot with two rolling modes moving to a target position is divided into two parts, which are local self-motion planning and global path planning. In the first part, the mobile parallel robot can move by switching and combining the two rolling modes; and in the second part, the specific algorithm of the global path planning is proposed according to the CGD of the moving ground.

Findings
The assistant robot, which is a novel 4-RSR mobile parallel robot (where R denotes a revolute joint and S denotes a spherical joint) integrating operation and rolling locomotion (Watt linkage rolling mode and 6R linkage rolling mode), can work as a moving spotlight or worktable. A series of simulation and prototype experiment results are presented to verify the CGD path planning strategy of the robot, and the performance of the path planning experiments in simulations and practices shows the validation of the path planning analysis.

Originality/value
The work presented in this paper is a further exploration to apply parallel mechanisms with two rolling modes to the field of assistant rolling robots by proposing the CGD path planning strategy. It is also a new attempt to use the specific path planning algorithm in the field of mobile robots for operating tasks.
Bondholder reorganization of systemically important financial institutions
Authors: Gjerstad Steven D. 
Published: July 2018

Purpose
This paper aims to describe a resolution process for faltering financial firms that quickly allocates losses to bondholders and transfers ownership of the firm to them. This process overcomes the most serious flaws in resolution plans submitted by banks under Dodd–Frank Title I and in the Federal Deposit Insurance Corporation (FDIC) receivership procedure in Dodd–Frank Title II by restoring the balance sheet of a failing financial institution and immediately replacing the management and board of directors who allowed its demise.

Design/methodology/approach
Feasibility of the proposed resolution procedure is assessed by comparing long-term bonds outstanding for the largest American banks just before the 2008 crisis to the capital needed by these banks to restore their balance sheets after their losses prior to and during the crisis.

Findings
In almost all bank failures, this process would eliminate the need for government involvement beyond court certification of the reorganization. The procedure overcomes the serious incentive distortions and inefficiencies created by bailouts, and avoids the destruction of value and financial market turmoil that would result from the bankruptcies and liquidations that Dodd–Frank requires for distressed and failing banks.

Originality/value
Title II of the Dodd–Frank Act would require liquidation of any banks that enter into its resolution process. The case of Lehman Brothers indicates the severity of losses to investors that liquidation imposes and the disruption to financial markets and the economy. The procedure developed in this paper would avoid the disruptions that Dodd–Frank requires, preserving core functions of faltering financial firms and maintaining them as going concerns, even in a severe financial crisis.