bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of genome-wide polygenic risk scores for coronary artery disease in French Canadians
Authors: Wünnemann Florian , Lo Ken Sin , Langford-Avelar Alexandra , Busseuil David , Dubé Marie-Pierre , Tardif Jean-Claude , Lettre Guillaume 
Published: February 2019

AbstractCoronary artery disease (CAD) represents one of the leading causes of morbidity and mortality worldwide. Given the healthcare risks and societal impacts associated with CAD, their clinical management would benefit from improved prevention and prediction tools. Polygenic risk scores (PRS) based on an individual’s genome sequence are emerging as potentially powerful biomarkers to predict the risk to develop CAD. Two recently derived genome-wide PRS have shown high specificity and sensitivity to identify CAD cases in European-ancestry participants from the UK Biobank. However, validation of the PRS predictive power and transferability in other populations is now required to support their clinical utility. We calculated both PRS (GPSCADand metaGRSCAD) in French-Canadian individuals from three cohorts totaling 3639 prevalent CAD cases and 7382 controls, and tested their power to predict prevalent, incident and recurrent CAD. We also estimated the impact of the founder French-Canadian familial hypercholesterolemia deletion (LDLRdelta > 15kb deletion) on CAD risk in one of these cohorts and used this estimate to calibrate the impact of the PRS. Our results confirm the ability of both PRS to predict prevalent CAD comparable to the original reports (area under the curve (AUC) = 0.72-0.84). Furthermore, the PRS identified about 6-7% of individuals at CAD risk similar to carriers of theLDLRdelta > 15kb mutation, consistent with previous estimates. However, the PRS did not perform as well in predicting incident (AUC= 0.56 - 0.60) or recurrent (AUC= 0.56 - 0.60) CAD. This result suggests that additional work is warranted to better understand how ascertainment biases and study design impact PRS for CAD. Collectively, our results confirm that novel, genome-wide PRS are able to predict CAD in French-Canadians; with further improvements, this is likely to pave the way towards more targeted strategies to predict and prevent CAD-related adverse events.
Distinct metabolic states of a cell guide alternate fates of mutational buffering through altered proteostasis
Authors: Verma Kanika , Saxena Kanika , Donaka Rajashekar , Chaphalkar Aseem , Rai Manish Kumar , Shukla Anurag , Zaidi Zainab , Dandage Rohan , Shanmugam Dhanasekaran , Chakraborty Kausik 
Published: February 2019

SummaryChanges in metabolism can alter the cellular milieu; can this also change intracellular proteostasis? Since proteostasis can modulate mutational buffering, if change in metabolism has the ability to change proteostasis, arguably, it should also alter mutational buffering. Building on this, we find that altered cellular metabolic states in E. coli buffer distinct mutations. Buffered-mutants had folding problems in vivo and were differently chaperoned in different metabolic states. Notably, this assistance was dependent upon the metabolites and not on the increase in canonical chaperone machineries. Additionally, we were able to reconstitute the folding assistance afforded by metabolites in vitro and propose that changes in metabolite concentrations have the potential to alter proteostasis. Collectively, we unravel that the metabolite pools are bona fide members of proteostasis and aid in mutational buffering. Given the plasticity in cellular metabolism, we posit that metabolic alterations may play an important role in the positive or negative regulation of proteostasis.
Presence ofLegionellaspp. in cooling towers: the role of microbial diversity,Pseudomonas, and continuous chlorine application
Authors: Paranjape Kiran , Bédard Émilie , Whyte Lyle G. , Ronholm Jennifer , Prévost Michèle , Faucher Sébastien P. 
Published: February 2019

ABSTRACTLegionnaire’s Disease (LD) is a severe pneumonia caused byLegionella pneumophila. Cooling towers are the main source ofL. pneumophiladuring large outbreaks. Colonization, survival, and proliferation ofL. pneumophilain cooling towers are necessary for outbreaks to occur. These steps are affected by chemical and physical parameters of the cooling tower environment. We hypothesize that the bacterial community residing in the cooling tower could also affect the presence ofL. pneumophila. A16S rRNAtargeted amplicon sequencing approach was used to study the bacterial community of cooling towers and its relationship with theLegionella spp.andL. pneumophilacommunities. The results indicated that the water source shaped the bacterial community of cooling towers. Several taxa were enriched and positively correlated withLegionella spp.andL. pneumophila. In contrast,Pseudomonasshowed a strong negative correlation withLegionella spp.and several other genera. Most importantly, continuous chlorine application reduced microbial diversity and promoted the presence ofPseudomonascreating a non-permissive environment forLegionella spp. This suggests that disinfection strategies as well as the resident microbial population influences the ability ofLegionella spp.to colonize cooling towers.
Identification of Complex Multidimensional Patterns in Microbial Communities
Authors: George Golovko , Kamil Khanipov , Levent Albayrak , Yuriy Fofanov 
Published: February 2019

AbstractMotivationIdentification of complex relationships within members of microbial communities is key to understand and guide microbial transplantation and provide personalized anti-microbial and probiotic treatments. Since members of a given microbial community can be simultaneously involved in multiple relations that altogether will determine their abundance, not all significant relations between organisms are expected to be manifested as visually uninterrupted patterns and be detected using traditional correlation nor mutual information coefficient based approaches.ResultsThis manuscript proposes a pattern specific way to quantify the strength and estimate the statistical significance of two-dimensional co-presence, co-exclusion, and one-way relations patterns between abundance profiles of two organisms which can be extended to three or more dimensional patterns. Presented approach can also be extended by including a variety of physical (pH, temperature, oxygen concentration) and biochemical (antimicrobial susceptibility, nutrient and metabolite concentration) variables into the search for multidimensional patterns. The presented approach has been tested using 2,380 microbiome samples from the Human Microbiome Project resulting in body-site specific networks of statistically significant 2D patterns. We also were able to demonstrate the presence of several 3D patterns in the Human Microbiome Project data.AvailabilityC++ source code for two and three-dimensional patterns, as well as executable files for the Pickle pipeline, are in the attached supplementary materials.Contactgegolovk@utmb.edu
A neurodevelopmental origin of behavioral individuality
Authors: Linneweber Gerit Arne , Andriatsilavo Maheva , Dutta Suchetana , Hellbruegge Liz , Liu Guangda , Ejsmont Radoslaw K. , Fenk Lisa M. , Straw Andrew D. , Wernet Mathias , Hiesinger Peter Robin , Hassan Bassem A. 
Published: February 2019

AbstractThe genome versus experience, or “Nature versus Nurture”, debate has dominated our understanding of individual behavioral variation. A third factor, namely variation in complex behavior potentially due to non-heritable “developmental noise” in brain development, has been largely ignored. Using the Drosophila vinegar fly we demonstrate a causal link between variation in brain wiring due to developmental noise, and behavioral individuality. A population of visual system neurons called DCNs shows non-heritable, inter-individual variation in right/left wiring asymmetry, and control object orientation in freely walking flies. We show that DCN wiring asymmetry predicts an individual’s object responses: the greater the asymmetry, the better the individual orients. Silencing DCNs abolishes correlations between anatomy and behavior, while inducing visual asymmetry via monocular deprivation “rescues” object orientation in DCN-symmetric individuals.One Sentence SummaryNon-heritable individual variation in neural circuit development underlies individual variability in behavior.
DLITE: Dynamic Local Intercellular Tension Estimation
Authors: Vasan R. , Maleckar M.M. , Williams C.D. , Rangamani P. 
Published: February 2019

AbstractThe shape of cell-cell interfaces and the forces resulting from actomyosin interactions, mem-brane tension, or cell-cell adhesion are closely coupled. For example, the tight junction protein, ZO-1, forms a link between the force-bearing actin cortex and the rest of the tight junction protein (TJP) complex, regulating epithelial cell differentiation and the flux of solutes across epithelia. Here we introduce a method for Dynamic Local Intercellular Tension Estimation (DLITE) to computationally infer the evolution of cell-cell forces from a mechanical model of collective cell behaviour. This builds upon prior work in the field (CellFIT, Brodland et al., PloS one 9.6 (2014): e99116). We validate our estimated forces against those predicted by Surface Evolver simulations. Inferred tensions of a cell colony rearranging over time correlate better with the ground truth for our method (DLITE) than for prior methods intended for single time-points. DLITE is robust to both skeletonization errors and topological changes. Finally, we used DLITE in WTC-11 human induced pluripotent stem (hIPS) cells endogenously expressing ZO-1 GFP to find that major topo-logical changes in cell connectivity, e.g. mitosis, can result in an increase in tension. This suggests a correlation between the dynamics of cell-cell forces and colony rearrangement.
Different subtypes of influenza A viruses target different human proteins and pathways leading to different pathogenic phenotypes
Authors: Wang Yujie , Song Ting , Li Kaiwu , Jin Yuan , Yue Junjie , Ren Hongguang , Liang Long 
Published: February 2019

AbstractDifferent subtypes of Influenza A viruses cause different pathogenic phenotypes after infecting human bodies. Direct binary interactions between viral proteins and human proteins provide an important background for influenza viruses to cause complex pathologies of hosts. Here, we demonstrated the different impacts on the TNF-α-induced NF-κB activation of H1N1 and H5N1 virus proteins. By further examining the virus-host protein-protein interactions (PPI), we found that the same segment protein of the H1N1 and H5N1 viruses target on different host proteins. We then performed a yeast two-hybrid analysis of a highly pathogenic avian H5N1 influenza virus and human proteins. Influenza-host protein-protein interaction networks of three strains of influenza A viruses (including two other reported influenza-host PPI networks) were systematically compared and mapped on the network level and the pathway level. The results show subtype-specific characters of the influenza-host protein interactome, which may response for the specific pathogenic mechanisms of different subtypes of influenza viruses.ImportanceInfluenza A virus (IAV) can cause contagious respiratory illness, namely influenza (flu). The symptoms of infections from different subtypes of IAVs vary from mild to severe illness. The mechanism of these different pathogenic phenotypes remains poorly understood. Our results show that the same NA and NP segments from H1N1 and H5N1 virus cause different impacts on the TNF-α-induced NF-κB pathway. Furthermore, we generated a yeast two-hybrid protein-protein interaction (PPI) network between H5N1 and human proteins. By systematically comparing the influenza-host PPI networks of three strains of IAVs, we show that different subtypes of IAVs target different human proteins and pathways, which may have led to different pathogenic phenotypes.
Detecting anomalies in RNA-seq quantification
Authors: Ma Cong , Kingsford Carl 
Published: February 2019

AbstractAlgorithms to infer isoform expression abundance from RNA-seq have been greatly improved in accuracy during the past ten years. However, due to incomplete reference transcriptomes, mapping errors, incomplete sequencing bias models, or mistakes made by the algorithm, the quantification model sometimes could not explain all aspects of the input read data, and misquantification can occur. Here, we develop a computational method to detect instances where a quantification model could not thoroughly explain the input. Specifically, our approach identifies transcripts where the read coverage has significant deviations from the expectation. We call these transcripts “expression anomalies”, and they represent instances where the quantification estimates may be in doubt. We further develop a method to attribute the cause of anomalies to either the incompleteness of the reference transcriptome or the algorithmic mistakes, and we show that our method precisely detects misquantifications with both causes. By correcting the misquantifications that are labeled as algorithmic mistakes, the number of false predictions of differentially expressed transcripts can be reduced. Applying anomaly detection to 30 GEUVADIS and 16 Human Body Map samples, we detect 103 genes with potential unannotated isoforms. These genes tend to be longer than average, and contain a very long exon near 3′ end that the unannotated isoform excludes. Anomaly detection is a new approach for investigating the expression quantification problem that may find wider use in other areas of genomics.
Oil spill remote monitoring by using remotely piloted aircraft
Authors: Urbahs Aleksandrs , Zavtkevics Vladislavs 
Published: February 2019

Purpose
This paper aims to analyze the application of remotely piloted aircraft (RPA) for remote oil spill sensing.

Design/methodology/approach
This paper is an analysis of RPA strong points.

Findings
To increase the accuracy and eliminate potentially false contamination detection, which can be caused by external factors, an oil thickness measurement algorithm is used with the help of the multispectral imaging that provides high accuracy and is versatile for any areas of water and various meteorological and atmospheric conditions.

Research limitations/implications
SWOT analysis of implementation of RPA for remote sensing of oil spills.

Practical implications
The use of RPA will improve the remote sensing of oil spills.

Social implications
The concept of oil spills monitoring needs to be developed for quality data collection, oil pollution control and emergency response.

Originality/value
The research covers the development of a method and design of a device intended for taking samples and determining the presence of oil contamination in an aquatorium area; the procedure includes taking a sample from the water surface, preparing it for transportation and delivering the sample to a designated location by using the RPA. The objective is to carry out the analysis of remote oil spill sensing using RPA. The RPA provides a reliable sensing of oil pollution with significant advantages over other existing methods. The objective is to analyze the use of RPA employing all of their strong points. In this paper, technical aspects of sensors are analyzed, as well as their advantages and limitations.
Real earnings management in Thailand: CEO duality and serviced early years
Authors: Nuanpradit Sirada 
Published: February 2019

Purpose
The purpose of this paper is to investigate the individual and interaction effects of chief executive officers (CEO)-chairman leadership structure (CEO duality) and CEO-serviced early years (the first three years in office) on real earnings management (REM) through sales activities of listed firms in the Stock Exchange of Thailand (SET).

Design/methodology/approach
The longitudinal data on CEO and chairman names of 3,825 firm-year observations were manually gleaned from the SET market analysis and reporting tool and the annual reports from 2001 to 2015. Multiple regressions were utilized to analyze the effects.

Findings
The findings show a positive relationship between CEO duality and sales-driven REM. However, the CEO-serviced early years have no association with sales-driven REM. The CEO duality/serviced early year interaction effect is positively correlated to sales manipulation. In addition, firms with the CEO duality engage in upward or downward sales-driven REM, while firms with newly appointed CEO adopt only the upward sales-driven REM. In firms which their newly appointed CEO concurrently serves as chairman, either upward or downward sales-driven REM strategy is introduced.

Practical implications
The findings provide some grounds for capital market and regulators to exercise caution when it comes to firms with the newly appointed CEO and/or the CEO duality, given a high tendency to manipulate sales revenues.

Originality/value
This study is the first to investigate the relationship between the CEO duality/serviced early years on sales-driven REM. The findings are expected to complement existing publications on REM.
Applying big data analytics to support Kansei engineering for hotel service development
Authors: Chen Mu-Chen , Hsiao Yu-Hsiang , Chang Kuo-Chien , Lin Ming-Ke 
Published: February 2019

Purpose
Leisure and tourism activities have proliferated and become important parts of modern life, and the hotel industry plays a necessary role in the supply for and demand from consumers. The purpose of this paper is to develop guidelines for hotel service development by applying a service development approach integrating Kansei engineering and text mining.

Design/methodology/approach
The online reviews represent the voice of customers regarding the products and services. Consumers’ online comments might become a key factor for consumers choosing hotels when planning their tourism itinerary. With the framework of Kansei engineering, this paper adopts text mining to extract the sets of Kansei words and hotel service characteristics from the online contents as well as the relationships among Kansei words, service characteristics and these two sets. The relationships are generated by using link analysis, and then the guidelines for hotel service development are proposed based on the obtained relationships.

Findings
The results of the present research can provide the hotel industry a comprehensive understanding of hotels’ customers opinions, and can offer specific advice on how to differentiate one’s products and services from competitors’ in order to improve customer satisfaction and increase hotels’ performance in the end. Finally, this study finds out the service development guidelines to meet customers’ requirements which can provide suggestions for hotel managers. The implications both for academic and industry are also drawn based on the obtained results.

Originality/value
Now, in the internet era, consumers can comment on their hotel living experience directly through the internet. The large amount of user-generated content (UGC) provided by consumers also provides chances for the hospitality industry to understand consumers’ opinions through online review mining. The UGC with consumers’ opinions to hotel services can be continuously collected and analyzed by hoteliers. Therefore, this paper demonstrates how to apply the hybrid approach integrating Kansei engineering and online review mining to hotel service development.
Quid pro quo
Authors: Roosens Bram , Dens Nathalie , Lievens Annouk 
Published: February 2019

Purpose This paper aims to assess the effects of explicit partner brand mentions (as opposed to a mere partnership mention) in communications by brand allies on consumers’ purchase intention and willingness to pay for an innovation, as mediated by the perceived relational embeddedness of the allies and their respective perceived corporate credibility. In Study 1, the authors investigate the effects of (reciprocal) explicit brand mentions by both allies (as opposed to by a single ally) and further test whether explicit brand mentions moderate spillover effects from the ally. In Study 2, the authors investigate the effect of reciprocity of explicit brand mentions and whether this is moderated by a company’s experience. Design/methodology/approach The authors conduct two online experiments. Study 1 (N = 216) is a four-level between-subjects experiment (single communication by Partner A with explicit brand mention, single communication by Partner B with explicit brand mention, explicit brand mentions by both allies and mere partnership mention by both allies) where participants judge a social alliance related to a new tablet. Study 2 (N = 376) builds upon these findings in a 4 (explicit brand mentions by both allies; mere partnership mention by both allies; explicit brand mention by Partner A, mere partnership mention by Partner B; explicit brand mention by partner B, mere partnership mention by Partner A) × 2 (Partner A experience: established vs startup) between-subjects experimental design for a co-created battery. Findings Spillover effects from one ally to the other are stronger with explicit brand mentions than with a mere partnership mention. There is no added value of two allies communicating over one, provided that both partners explicitly mention their partner brand. However, when allies do communicate separately, it is crucial that an explicit brand mention is reciprocated. This effect is explained by an increase in the perceived relational embeddedness of the partners, which in turn positively influences their corporate credibility. This effect does not differ depending on a company’s experience. Originality/value This research is one of the first to study effects of how a brand alliance is communicated and extends previous studies on the effects of communication about brand and co-creation alliances by demonstrating that communications moderate spillover effects, that brand mention reciprocity is crucial, and by introducing the concept of perceived relational embeddedness.
Effects of health insurance on labour supply: a systematic review
Authors: Le Nga , Groot Wim , Tomini Sonila M. , Tomini Florian 
Published: February 2019

PurposeThe purpose of this paper is to provide a systematic review of empirical evidence on the labour market effects of health insurance from the supply side.Design/methodology/approachThe study covers the largest peer-reviewed and working paper databases for labour economics and health studies. These include Web of Science, Google Scholar, Pubmed and the most popular economics working paper sources such as NBER, ECONSTOR, IDEAS, IZA, SSRN, World Bank Working Paper Series. The authors follow the PRISMA 2009 protocol for systematic reviews.FindingsThe collection includes 63 studies. The outcomes of interest are the number of hours worked, the probability of employment, self-employment and the level of economic formalisation. The authors find that the current literature is vastly concentrated on the USA. Spousal coverage in the USA is associated with reduced labour supply of secondary earners. The effect of Medicaid in the USA on the labour supply of its recipients is ambiguous. The employment-coverage link is an important determinant of the labour supply of people with health problems and self-employment decisions. Universal coverage may create either an incentive or a disincentive to work depending on the design of the system. Finally, evidence on the relationship between health insurance and the level of economic formalisation in developing countries is fragmented and limited.Practical implicationsThis study reviews the existing literature on the labour market effects of health insurance from the supply side. The authors find a large knowledge gap in emerging economies where health coverage is expanding. The authors also highlight important literature gaps that need to be filled in different themes of the topic.Originality/valueThis is the first systematic review on the topic which is becoming increasingly relevant for policy makers in developing countries where health coverage is expanding.