bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cross-sectional study of emergency care utilization and associated costs of violent-related (assault) injuries in the United States
Authors: Monuteaux Michael C. , Fleegler Eric W. , Lee Lois K. 
Published: April 2017

BACKGROUND
Violent-related (assault) injuries are a leading cause of death and disability in the United States. Many violent injury victims seek treatment in the emergency department (ED). Our objectives were to (1) estimate rates of violent-related injuries evaluated in United States EDs, (2) estimate linear trends in ED visits for violent-related injuries from 2000 to 2010, and (3) to determine the associated health care and work-loss costs.

METHODS
We examined adults 18 years and older from a nationally representative survey (the National Hospital Ambulatory Medical Care Survey) of ED visits, from 2000 to 2010. Violent injury was defined using International Classification of Diseases—9th Rev.—Clinical Modification, diagnosis and mechanism of injury codes. We calculated rates of ED visits for violent injuries. Medical and work-loss costs accrued by these injuries were calculated for 2005, inflation-adjusted to 2011 dollars using the WISQARS Cost of Injury Reports.

RESULTS
An annual average of 1.4 million adults were treated for violent injuries in EDs from 2000 to 2010, comprising 1.6% (95% confidence interval, 1.5%–1.6%) of all US adult ED visits. Young adults (18–25 years), men, nonwhites, uninsured or publically insured patients, and those residing in high poverty urban areas were at increased risk for ED visits for violent injury. The 1-year, inflation-adjusted medical and work-loss cost of violent-inflicted injuries in adults in the United States was US $49.5 billion.

CONCLUSION
Violent injuries account for over one million ED visits annually among adults, with no change in rates over the past decade. Young black men are at especially increased risk for ED visits for violent injuries. Overall, violent-related injuries resulted in substantial financial and societal costs.

LEVEL OF EVIDENCE
Epidemiological study, level III.
Profiling of lysine-acetylated proteins in human urine
Authors: Qin Weiwei , Du Zhenhuan , Huang He , Gao Youhe 
Published: April 2017

AbstractBiomarker is the measurable change associated with a physiological or pathophysiological process, its nature is change. Contrast to the blood which is under homeostatic controls, urine reflects changes in the body earlier and more sensitive therefore is a better biomarker source. Lysine acetylation is an abundant and highly regulated post-translational modification. It plays a pivotal role in modulating diverse biological processes and is associated with various important diseases. Enrichment or visualization of proteins with specific post-translational modifications provides a method for sampling the urinary proteome and reducing sample complexity. In this study, we used anti-acetyllysine antibody-based immunoaffinity enrichment combined with high-resolution mass spectrometry to profile lysine-acetylated proteins in normal human urine. A total of 629 acetylation sites on 315 proteins were identified, including some very low-abundance proteins. This is the first proteome-wide characterization of lysine acetylation proteins in normal human urine. Our dataset provides a useful resource for the further discovery of the lysine acetylated proteins as biomarker in urine.
Detecting gene subnetworks under selection in biological pathways
Authors: Gouy Alexandre , Daub Joséphine T. , Excoffier Laurent 
Published: April 2017

ABSTRACTAdvances in high throughput sequencing technologies have created a gap between data production and functional data analysis. Indeed, phenotypes result from interactions between numerous genes, but traditional methods treat loci independently, missing important knowledge brought by network-level emerging properties. Therefore, evidencing selection acting on multiple genes affecting the evolution of complex traits remains challenging. In this context, gene network analysis provides a powerful framework to study the evolution of adaptive traits and facilitates the interpretation of genome-wide data. To tackle this problem, we developed a method to analyse gene networks that is suitable to evidence polygenic selection. The general idea is to search biological pathways for subnetworks of genes that directly interact with each other and that present unusual evolutionary features. Subnetwork search is a typical combinatorial optimization problem that we solve using a simulated annealing approach. We have applied our methodology to find signals of adaptation to high-altitude in human populations. We show that this adaptation has a clear polygenic basis and is influenced by many genetic components. Our approach improves on classical tests for selection based on single genes by identifying both new candidate genes and new biological processes involved in adaptation to altitude.
Red Blood Cell Distribution Width: genetic evidence for aging pathways in 116,666 volunteers
Authors: Pilling Luke C. , Atkins Janice L. , Duff Michael O. , Beaumont Robin N. , Jones Samuel E. , Tyrrell Jessica , Kuo Chia-Ling , Ruth Katherine S. , Tuke Marcus A. , Yaghootkar Hanieh , Wood Andrew R. , Murray Anna , Weedon Michael N. , Harries Lorna W. , Kuchel George A. , Ferrucci Luigi , Frayling Timothy M. , Melzer David 
Published: April 2017

AbstractVariability in red blood cell volumes (distribution width, RDW) increases with age and is strongly predictive of mortality, incident coronary heart disease and cancer. We investigated inherited genetic variation associated with RDW in 116,666 UK Biobank human volunteers.A large proportion RDW is explained by genetic variants (29%), especially in the older group (60+ year olds, 33.8%, <50 year olds, 28.4%). RDW was associated with 194 independent genetic signals; 71 are known for conditions including autoimmune disease, certain cancers, BMI, Alzheimer’s disease, longevity, age at menopause, bone density, myositis, Parkinson’s disease, and age-related macular degeneration. Pathways analysis showed enrichment for telomere maintenance, ribosomal RNA and apoptosis. The majority of RDW-associated signals were intronic (119 of 194), including SNP rs6602909 located in an intron of oncogeneGAS6; the SNP is also an eQTL for this gene in whole blood. RDW-associated exonic genetic signals included a missense variant inPNPLA3, which codes for a triacylglycerol lipase, and a rare (1% frequency) deletion inSMIM1, involved in red blood cell formation.Although increased RDW is predictive of cardiovascular outcomes, this was not explained by known CVD or related lipid genetic risks. The predictive value of RDW for a range of negative health outcomes may in part be due to variants influencing fundamental pathways of aging.
An application of data envelopment analysis for Korean banks with negative data
Authors: Lee Yong Joo , Joo Seong-Jong , Park Hong Gyun 
Published: April 2017

Purpose
The purpose of this paper is to measure the comparative efficiency of 18 Korean commercial banks under the presence of negative observations and examine performance differences among them by grouping them according to their market conditions.

Design/methodology/approach
The authors employ two data envelopment analysis (DEA) models such as a Banker, Charnes, and Cooper (BCC) model and a modified slacks-based measure of efficiency (MSBM) model, which can handle negative data. The BCC model is proven to be translation invariant for inputs or outputs depending on output or input orientation. Meanwhile, the MSBM model is unit invariant in addition to translation invariant. The authors compare results from both models and choose one for interpreting results.

Findings
Most Korean banks recovered from the worst performance in 2011 and showed similar performance in recent years. Among three groups such as national banks, regional banks, and special banks, the most special banks demonstrated superb performance across models and years. Especially, the performance difference between the special banks and the regional banks was statistically significant. The authors concluded that the high performance of the special banks was due to their nationwide market access and ownership type.

Practical implications
This study demonstrates how to analyze and measure the efficiency of entities when variables contain negative observations using a data set for Korean banks. The authors have tried two major DEA models that are able to handle negative data and proposed a practical direction for future studies.

Originality/value
Although there are research papers for measuring the performance of banks in Korea, all of the papers in the topic have studied efficiency or productivity using positive data sets. However, variables such as net incomes and growth rates frequently include negative observations in bank data sets. This is the first paper to investigate the efficiency of bank operations in the presence of negative data in Korea.
Relation between marketing expenses and bank’s financial position: Ukrainian reality
Authors: Valentyn Khmarskyi , Pavlov Roman 
Published: April 2017

Purpose
The purpose of this paper is to determine relation between marketing expenses and bank’s financial position. Factor and cluster analyses were applied to unify different financial variables into financial clusters. Each cluster has specific long-term and short-term financial position and is allocated to appropriate rating position of new rating system. Using rating positions, it is possible to determine whether overall bank position is fragile or stable, and which financial position is vulnerable. Comparing marketing expenses with financial positions, it is possible to evaluate how effectively banks manage their financial resources, and what impact marketing activity has on the financial position.

Design/methodology/approach
Financial statements of Ukrainian banks for last five years are analyzed. Database of financial documents are reviewed. Coefficient, principal components, and hierarchical cluster analyzes are applied to elaborate new rating system. “Bartlett’s Test of Sphericity” and “Kaiser-Meyer-Olkin Measure of Sampling Adequacy Test” validate input data. Box-and-whisker plots are used to describe graphically interaction between marketing expenses and bank financial positions.

Findings
The new rating system describes short-term and long-term bank financial positions. In their marketing activity, Ukrainian banks mostly have uneven distribution of marketing expenses in context of financial positions. Such pattern disrupts long-term stability of Ukrainian banking system. Each financial variable has different impact on marketing activity; however, the correlation level is insignificant. In general, Ukrainian banks do not consider financial positions in marketing planning.

Practical implications
New rating system can be used by the National Bank of Ukraine, the main supervisory bank of Ukraine, to determine fragile banks and to predict their bankruptcy. Banks may use findings to analyze their financial positions and to find optimal marketing expenses.

Originality/value
This paper contributes into the scientific literature in novelty of marketing-finance interaction in the Ukrainian banking system. New rating system of Ukrainian banks considers different aspects of bank financial stability: liquidity level, credit risks, deposit portfolio, and bank’s ability to attract additional financial resources on financial markets. Cluster analysis helps to allocate similar financial factors to different clusters and to evaluate financial risks in conjunction. As legal regulations concerning banking market, are also considered, the rating system can be adjusted to different countries. In addition, marketing expenses are analyzed in context of banks’ financial positions.
The nexus between stock market index and apartment and villa prices
Authors: Öhman Peter , Yazdanfar Darush 
Published: April 2017

Purpose
The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices.

Design/methodology/approach
Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden.

Findings
The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks.

Originality/value
To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.
On the relationship between oil and equity markets: evidence from South Asia
Authors: Noor Md Hasib , Dutta Anupam 
Published: April 2017

Purpose
The purpose of this paper is to investigate the volatility linkage between global oil market and major South Asian equity markets.

Design/methodology/approach
In order to serve the purpose, the authors employ a recently developed vector autoregressive-generalized autoregressive conditional heteroskedastic model to examine whether shocks and volatility spill over from the oil market to various equity markets under consideration.

Findings
The findings of the empirical analysis suggest that all the markets studied do receive volatility from the oil market. Not surprisingly, the authors do not find any significant evidence of volatility transmission from the equity markets to the global oil market. Additionally, while computing the optimal portfolio weights and hedge ratios, the authors document that inclusion of oil in the portfolio of stocks tends to reduce the risk of the resultant portfolio.

Originality/value
Fully original.
Conflict minerals traceability – a fuzzy set analysis
Authors: Timmer Stephane , Kaufmann Lutz 
Published: April 2017

PurposeThe purpose of this paper is to investigate legal effects on social sustainability practices at buying firms. The US Dodd-Frank Act has forced listed companies to determine the degree to which their products contain conflict minerals (CM). The research question this study seeks to answer is the following: which factors influence a company’s ability to determine the provenance of its inputs?Design/methodology/approachThe study examines secondary data in the form of CM reports of 50 US listed firms for two consecutive years using a fuzzy set qualitative comparative analysis (fsQCA) approach.FindingsThis study identifies different configurations of stakeholder salience and firm resources that lead individual companies to achieve high levels of traceability. Findings show that firms’ CM governance mechanisms are a key determinant in the firms’ capacity to meet regulatory traceability requirements. Further, the authors find that both the presence and absence of specific stakeholder pressures and firm resources can lead to traceability. Findings also suggest that firms can achieve traceability without any pressure from stakeholders.Research limitations/implicationsThe study investigates the practices of individual firms that are subject to the Dodd-Frank Act, rather than adopting a supply chain-wide perspective. Further, proxies had to be used to measure several constructs because of reliance on firms’ reporting, which implies that the study did not account for certain behavioral factors that influence traceability.Practical implicationsThis study provides managers of both resource-rich and less resource-rich firms with possible pathways for achieving CM traceability.Originality/valueThe study contributes to the field of sustainability by providing exploratory insights into the antecedents of traceability and deriving theoretical propositions to guide further research. The authors apply fsQCA to investigate secondary data over multiple years, thus using a novel configurational methodology.
Market research in India: does the choice of language cause questionnaire contamination?
Authors: Messner Wolfgang 
Published: April 2017

PurposeWhile English is the most commonly used language for market research, surveys and customer feedback in India, it does not reach the subcontinent’s entire population. Therefore, many questionnaires are bilingual, offering the respondent a choice between English and an indigenous Indian language. This, however, presupposes that answers to items are not influenced by people’s language proficiencies and response styles in different languages. This paper aims to examine whether market researchers in India should be careful about nonrandom measurement error caused by language response bias.
Design/methodology/approachEnglish and Kannada questionnaires are administered in a test-retest scenario to 160 respondents in the Indian Tier-II city of Mysore. The data evaluation is organized by dispositional (language proficiency in English and Kannada) and situational influences (language of the questionnaire in English or Kannada); a series of tests to elucidate language response bias is conducted.
FindingsWhile the significance of the two-tailed English-Kannada paired-sample tests is borderline, a more detailed look reveals surprising differences for the dispositional as well as situational linguistic influences. Moreover, the response style peculiarities in the Indian multilingual environment are not always consistent with differences in other international bilingual environments.
Originality/valueHigh-quality data are central to all empirical research, but situational and dispositional language response bias seems to contaminate questionnaires in the Indian multi-lingual environment. This study highlights the effect and provides Indian market researchers with some first strategies for managing the challenge.
To gain or not to lose? The effect of monetary reward on motivation and knowledge contribution
Authors: Liu Haixin , Li Guiquan 
Published: April 2017

PurposeThe purpose of this paper is to investigate the effect of reward type on knowledge contribution behavior. Individual knowledge contribution, which determines the effectiveness of information systems, benefits the organization at the cost of individual advantage as knowledge is usually considered highly private or even a source of individual prestige. Therefore, organizations provide rewards to compensate for their contributors’ knowledge loss. Surprisingly, some scholars report a positive relationship between reward and knowledge contribution, while others find this relationship to be insignificant or even negative. Based on regulatory focus theory, this study proposes and tests that such inconsistencies result from disparity between reward type and knowledge contribution measures.Design/methodology/approachA between-group laboratory experiment with 144 undergraduate student is designed and hierarchical regression is applied to test the hypotheses.FindingsAn incremental reward (additional reward for attaining outstanding achievements) aroused individual promotion focus, leading to an increase in self-perceived knowledge contribution (self-reported) and knowledge contribution quantity (experiment observers rated), but a decrease in knowledge contribution quality (peer rated). However, a decremental reward (deducted for errors) primed individual prevention focus, leading to an increase in self-perceived knowledge contribution (self-reported) and knowledge contribution quality (peer rated), but a decrease in knowledge contribution quantity (experiment observers rated).Originality/valueThe findings help explain why previous empirical results on the reward-knowledge contribution relationship were inconsistent and add to extant literature by introducing a new theoretical perspective for understanding motivation in knowledge management research.
Means-ends based know-how mapping
Authors: Sturm Arnon , Gross Daniel , Wang Jian , Yu Eric 
Published: April 2017

Purpose
The purpose of this paper is to report on research that aims to make knowledge, and in particular know-how, more easily accessible to both academic and industrial communities, as well as to the general public. The paper proposes a novel approach to map out know-how information, so all knowledge stakeholders are able to contribute to the knowledge and expertise accumulation, as well as using that knowledge for research and applying expertise to address problems.

Design/methodology/approach
This research followed a design science approach in which mapping of the know-how information was done by the research team and then tested with graduate students. During this research, the mapping approach was continuously evaluated and refined, and mapping guidelines and a prototype tool were developed.

Findings
Following an evaluation with graduate students, it was found that the know-how maps produced were easy to follow, allowed continuous evolution, facilitated easy modification through provided modularity capabilities, further supported reasoning about know-how and overall provided adequate expressiveness. Furthermore, we applied the approach with various domains and found that it was a good fit for its purpose across different knowledge domains.

Practical implications
This paper argues that mapping out know-how within research and industry communities can further improve resource (knowledge) utilization, reduce the phenomena of “re-inventing the wheel” and further create linkage across communities.

Originality/value
With the qualities mentioned above, know-how maps can both ease and support the increase of access to expert knowledge to various communities, and thus, promote re-use and expansion of knowledge for various purposes. Having an explicit representation of know-how further encourages innovation, as knowledge from various domains can be mapped, searched and reasoned, and gaps can be identified and filled.