bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomic analysis of reproduction proteins involved in litter size from porcine placenta
Authors: Lee Dong-Gi , Nam Juhyun , Kim Sam Woong , Kang Young-Moon , An Hyun Joo , Kim Chul Wook , Choi Jong-Soon 
Published: April 2015

Abstract
A gel-free and label-free quantitative proteomic approach based on a spectral counting strategy was performed to discover prolificacy-related proteins. Soluble proteins of porcine placenta from small litter size group (SLSG) and large litter size group (LLSG) were extracted and subsequently applied to in-solution tryptic digestion followed by liquid chromatography–tandem mass spectrometry analysis. Six and thirteen proteins were highly expressed in SLSG and LLSG, respectively. Of the dominantly expressed proteins, we chose prolificacy-related proteins such as puromycin-sensitive aminopeptidase (PSA) and retinol-binding protein 4 (RBP4). Western blot analysis confirmed that the processed form (70 kDa) of PSA was more expressed and RBP4 (23 kDa) was dominantly expressed in LLSG. These results indicate that PSA and RBP4 are representative proteins involved in porcine fertility traits, and this finding may help to increase litter size of pigs.
Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records
Authors: Tian Zhe , Sun Simon , Eguale Tewodros , Rochefort Christian M. 
Published: April 2015

Background:
Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an electronic format, automated surveillance using natural language processing (NLP) techniques may represent a better method.

Objective:
We assessed the accuracy of using symbolic NLP for identifying the 2 clinical manifestations of VTE, deep vein thrombosis (DVT) and pulmonary embolism (PE), from narrative radiology reports.

Methods:
A random sample of 4000 narrative reports was selected among imaging studies that could diagnose DVT or PE, and that were performed between 2008 and 2012 in a university health network of 5 adult-care hospitals in Montreal (Canada). The reports were coded by clinical experts to identify positive and negative cases of DVT and PE, which served as the reference standard. Using data from the largest hospital (n=2788), 2 symbolic NLP classifiers were trained; one for DVT, the other for PE. The accuracy of these classifiers was tested on data from the other 4 hospitals (n=1212).

Results:
On manual review, 663 DVT-positive and 272 PE-positive reports were identified. In the testing dataset, the DVT classifier achieved 94% sensitivity (95% CI, 88%-97%), 96% specificity (95% CI, 94%-97%), and 73% positive predictive value (95% CI, 65%-80%), whereas the PE classifier achieved 94% sensitivity (95% CI, 89%-97%), 96% specificity (95% CI, 95%-97%), and 80% positive predictive value (95% CI, 73%-85%).

Conclusions:
Symbolic NLP can accurately identify VTEs from narrative radiology reports. This method could facilitate VTE surveillance and the evaluation of preventive measures.
Systems medicine links microbial inflammatory response with glycoprotein-associated mortality risk
Authors: Ritchie Scott C , Würtz Peter , Nath Artika P , Abraham Gad , Havulinna Aki S , Kangas Antti J , Soininen Pasi , Aalto Kristiina , Seppälä Ilkka , Raitoharju Emma , Salmi Marko , Maksimow Mikael , Männistö Satu , Kähönen Mika , Juonala Markus , Lehtimäki Terho , Jalkanen Sirpa , Perola Markus , Raitakari Olli , Salomaa Veikko , Ala-Korpela Mika , Kettunen Johannes , Inouye Michael 
Published: April 2015

SummaryIntegrative analyses of high-throughput omics data have elucidated the aetiology and pathogenesis for complex traits and diseases1–4, and the linking of omics information to electronic health records promises new insights into human health and disease. Recent nuclear magnetic resonance (NMR) spectroscopy biomarker profiling has implicated glycoprotein acetyls (GlycA) as a biomarker for cardiovascular risk5and all-cause mortality6. To elucidate biological processes contributing to GlycA-associated mortality risk, we leveraged human omics data from three population-based cohorts together with nation-wide Finnish hospital and mortality records. Elevated GlycA was associated with myriad infection-related inflammatory processes. Within individuals, elevated GlycA levels were stable over long time periods, up to a decade, and chronically elevated GlycA was also associated with modest elevation of numerous cytokines. Individuals with elevated GlycA also showed increased expression of a transcriptional sub-network, the Neutrophil Degranulation Module (NDM), suggesting an increased activity of microbe-driven immune response. Subsequent analysis of nation-wide hospitalisation and death records was consistent with a microbial basis for GlycA-associated mortality, with each standard deviation increase in GlycA raising an individual’s future risk of hospitalization and death from non-localized infection by 40% and 136%, respectively. These results show that, beyond its established role in acute-phase response7–9, elevated GlycA is more broadly a biomarker for low-grade chronic inflammation and increased neutrophil activity. Further, increased risk of susceptibility to severe microbial-infection events in healthy individuals suggests this inflammation is a contributor to mortality risk. Taken together, this study demonstrates the power of an integrative approach that combines omics data and health records to delineate the biological processes underlying a newly discovered biomarker, providing a model strategy for future systems medicine studies.
Assessment of performance using MPSS based DEA
Authors: Sarkar Subhadip 
Published: April 2015

Purpose– Identification of the best school among other competitors is done using a new technique called most productive scale size based data envelopment analysis (DEA). The paper aims to discuss this issue.Design/methodology/approach– A non-central principal component analysis is used here to create a new plane according to the constant return to scale. This plane contains only ultimate performers.Findings– The new method has a complete discord with the results of CCR DEA. However, after incorporating the ultimate performers in the original data set this difference was eliminated.Practical implications– The proposed frontier provides a way to identify those DMUs which follow cost strategy proposed by Porter.Originality/value– A case study of six schools is incorporated here to identify the superior school and also to visualize gaps in their performances.
Analyzing drivers and barriers of coordination in humanitarian supply chain management under fuzzy environment
Authors: Kabra Gaurav , Ramesh A 
Published: April 2015

Purpose– The purpose of this paper is to explore the barriers to coordination in humanitarian supply chain management (HSCM), proposes solutions and prioritizes them to overcome the barriers particularly in the Indian context.Design/methodology/approach– This study adopts a comprehensive and rigorous procedure to explore the barriers and solutions to coordination in HSCM. The research design is divided into three phases; first, the barriers and solutions are collected through an extensive literature review; second, barriers and solutions were verified with experts involved in relief operations of the disaster that occurred in Uttarakhand (a Northern state in India) on June 14, 2013 and finally, based on the weight of barriers estimated by fuzzy analytic hierarchy process, solutions to overcome the barriers are prioritized using fuzzy technique for order performance by similarity to ideal solution that considers uncertainty and impreciseness rather than a crisp value.Findings– This study explored 23 barriers to coordination in HSCM and grouped into five categories i.e., strategic barriers, individual barriers, organizational barriers, technological barriers and cultural barriers, and finally 15 solutions were proposed and prioritized to overcome the barriers so decision makers can focus on overcoming these barriers and realize the benefits of coordination in HSCM.Practical implications– This study provides a more efficient, effective, robust and systematic way to overcome barriers to coordination and improve the competencies of humanitarian supply chain (HSC).Originality/value– This is the first kind of study that prioritizes the solutions to enhance coordination in HSC based on the weight of the barriers.
Back to basics: fighting fraud and austerity
Authors: Frimpong Kwabena 
Published: April 2015

Purpose
– This article aims to focus on the impact of the current austerity measures on UK public sector anti-fraud and financial crime investigative resource capacity building initiative developed over the years to tackle fraud against the public purse.

Design/methodology/approach
– The article draws on secondary sources of data and available literature on fraud and financial crime.

Findings
– Fraud is a challenge in the UK public sector but the cut-back on anti-fraud and financial crime investigative resources, given the scale of public sector fraud, the growing emphasis on accountability and the time of austerity with public money more exposed to fraud is arguably a back-door/u-turn policy on zero-tolerance approach in tackling public sector fraud and financial crime. There is the potential of this encouraging more fraud and financial crime against the public sector in the long term if measures are not taken to devise strategies for enhancing anti-fraud and financial crime investigative resource capacity.

Research limitations/implications
– The research implication for this article is that it opens an avenue for future studies to examine post austerity strategies for strengthening public sector anti-fraud and financial crime investigative resource strategies to deal with emerging fraud threats to UK public sector.

Practical implications
– This article acts as a reference guide for policymakers to reflect on the long-term adverse impact of the austerity on anti-fraud and financial crime investigative resource capacity and capability in tackling fraud public sector fraud.

Originality/value
– The paper attempts to present an alternative lens to examining the scale of UK public sector fraud problem rather than relying on headline story of declining fraud in UK.
Uncovering the hidden cost of staff fraud: an assessment of 45 cases in the UK
Authors: Button Mark , Blackbourn Dean , Lewis Chris , Shepherd David 
Published: April 2015

Purpose
– The purpose of this paper is to provide evidence on the additional costs of dealing with staff fraud, beyond the initial fraud loss, based on 45 cases of staff fraud.

Design/methodology/approach
– The research began with a “brainstorming” session with counter fraud professionals to map all potential costs in a staff fraud. It then utilised a twin-track approach of a survey and interviews. A survey was distributed using a number of methods yielding 28 usable cases. Interviews were also sought with organisations willing to discuss staff fraud, which secured a further 17 cases. Both the survey and interview used the same questionnaire, although the latter enabled a deeper questioning of participants.

Findings
– This study examined 45 cases of staff fraud from a wide range of sectors drawn predominantly from larger organisations. From each of these cases detailed, estimates of the costs of dealing with the fraud were identified. Major additional costs included the costs of investigation, staff suspensions, internal disciplinary costs, external sanctions, permanent staff replacement, miscellaneous costs as well as intangible costs. The findings identified significant costs which are significantly above the initial value of the fraud, particularly on initial frauds under £25,000.

Research limitations/implications
– Staff fraud is a very sensitive subject with many organisations unwilling to reveal what happens when it occurs. The approach was therefore to secure as much data as possible and as such this might not be representative of the broader economy.

Practical implications
– The paper highlights the need for greater investment in prevention given the substantial costs of staff fraud to deal with.

Originality/value
– This is the first attempt to gauge the full costs of staff fraud to an organisation.
Risk quanta: an approach to understanding modern financial risk
Authors: Hwang Jong Ho 
Published: April 2015

Purpose– This paper aims to present a recent history of developments and innovations that, along with advances in information technology, have caused fundamental changes in the way that financial risk is created, transformed, transported and extinguished in modern financial intermediation systems. A review and critique of the global supervisory response to these developments is presented.Design/methodology/approach– A bottom-up approach to the capture, recording, disaggregation, re-composition and measurement of new, standardized, basic elements of risk that the authors refer to as risk quanta is proposed.Findings– This approach provides a clearer understanding of the financial world that the people live in today and creates a robust information platform to build innovations, advancements and economic growth in the future.Practical implications– This approach provides decision-makers with a clearer understanding of the financial world that the people live in today and creates a robust information platform to build innovations, advancements and economic growth in the future.Social implications– This approach provides financial market participants and the public with a clearer understanding of the financial system and creates a robust information platform to build innovations, advancements and economic growth in the future.Originality/value– This approach is more comprehensive unlike current international proposals for a global financial risk framework.
Political corruption and money laundering: lessons from Nigeria
Authors: Markovska Anna , Adams Nya 
Published: April 2015

Purpose
– This paper aims to discuss political corruption in Nigeria and to assess the limitation of the immunity clause of the Nigerian constitution. This is particularly important in light of the recent developments to criminalise money-laundering in the country.

Design/methodology/approach
– This paper evaluates the legal anti-money laundering framework in Nigeria, in particular, the impact of the immunity clause of Nigerian constitution.

Findings
– Endemic corruption of the political elite leads to the abuse of the constitutional immunity clause, and significantly impairs the activities of the anti-money laundering agencies.

Research limitations/implications
– This paper draws on the experience of Nigeria, and is specifically looking at one obstacle on the way to fight money laundering and corruption. It is important to conduct further comparative analysis.

Originality/value
– This paper discusses political, economic and legal developments in Nigeria to show how the immunity clause prevents the successful prosecution of corrupt Nigerian politicians, and discusses measures taken to prevent corruption in the country.
Organized crime in Brazil
Authors: Millard George Henry , Hundleby Tim 
Published: April 2015

Purpose
– The purpose of this paper is to look at the origins and development of organized crime in Brazil.

Design/methodology/approach
– The authors draw on their experience working in law enforcement for many years in Brazil.

Findings
– The paper outlines the major crimes committed by organized crime in Brazil and the structure of the main organization carrying them out.

Research limitations/implications
– The research concentrates on São Paolo and further research needs to be done.

Originality/value
– This is the first attempt to put the development of organized crime in Brazil into a historical and developmental context.
Impact of service attributes on customer satisfaction and loyalty in a healthcare context
Authors: Lonial Subash , Raju P.S. 
Published: April 2015

Purpose
– The purpose of this paper is to examine the role of perceived service attributes in the development of overall customer satisfaction (OCS) and customer loyalty (CL) in a health-care setting. This paper also sheds light on the role of hospitalist physicians (HPs) and offers suggestions to improve patient satisfaction and loyalty.

Design/methodology/approach
– A telephone survey was used to collect data from recently hospitalized patients with respect to their HP. Structural equations modeling (SEM) was used to confirm the overall relationships between perceived service quality (PSQ), OCS and CL. The sample was then divided into customer relationship groups (CRGs) based on satisfaction and loyalty measures. Discriminant analysis was used to determine which attributes differentiated most between high and low satisfaction and loyalty groups.

Findings
– Overall relationships among PSQ, OCS and CL were in conformity with the conceptual model. Findings also revealed that service attributes played an important role in distinguishing between high and low satisfaction and loyalty groups, although some attributes were more important than others and different attributes emerged as being key influencers for satisfaction and loyalty.

Research limitations/implications
– The conceptual model used is a fairly straight forward model, and we have not considered the impact of individual factors such as expectations and value perceptions or involvement levels and demographic characteristics on service quality and overall satisfaction. The data for this study were provided by a major health maintenance organization (HMO), and there is room for improvement in the manner in which certain constructs were measured. For example, OCS, recommendation and retention all used single item measures, and it might have been preferable to use multiple item measures for these constructs.

Practical implications
– The study shows that organizations can benefit by identifying and focusing on critical attributes as part of their customer relationship management program.

Social implications
– The SEM results provide strong support for the overall model linking service quality, OCS and CL in a health-care setting. As one would expect, PSQ has a strong impact on OCS, which, in turn, has a fairly strong impact on CL. However, there is also a significant direct linkage between PSQ and CL. This linkage shows that at least a certain portion of CL could evolve independent of the satisfaction level with the HP. This shows that, in addition to trying to improve satisfaction, organizations should also explore influencing loyalty directly, perhaps by the strategic use of service attribute perceptions.

Originality/value
– The study shows that customer perceptions at the service attribute level can often be the key to the generation and management of customer satisfaction and loyalty. It also has significance for how satisfaction and loyalty with HPs can be improved in a hospital setting.
Building a 3D model of lithological contacts and near‐mine structures in the Kevitsa mining and exploration site, Northern Finland: constraints from 2D and 3D reflection seismic data
Authors: Koivisto E. , Malehmir A. , Hellqvist N. , Voipio T. , Wijns C. 
Published: April 2015

ABSTRACTThe Kevitsa mafic–ultramafic intrusion in Northern Finland hosts a large, disseminated nickel–copper sulphide ore body. The Kevitsa intrusion is an active mining and exploration site, for which we have built a 3D model of the main lithological contacts and near‐mine structures in the area. To build the 3D model, 2D and 3D reflection seismic data have been used together with borehole data and geological map of the area. The Kevitsa reflection seismic data reveal the internal architecture of the Kevitsa intrusion and the surrounding units. For example, the seismic data have uncovered a previously unknown, deeper continuation of the Kevitsa intrusion. Improved 3D knowledge of the basal contact of the intrusion provides an exploration target for contact‐type mineralization. Within the intrusion, a limited area of strong reflections is observed in the data. This has been associated with discontinuous, smaller‐scale magmatic layering that is thought to control the extent of the Kevitsa main mineralization. Thus, our 3D model of the extents of the internal reflectors can provide a framework for near‐mine and deep exploration of the main type of mineralization in the area. In addition to exploration, the original purpose of the 3D seismic survey was geotechnical planning of the Kevitsa open‐pit mine. Accordingly, the 3D seismic data were used to create a 3D model of the subsurface structures, with a focus on the vicinity of the mine. The interpreted structures reveal a complex pattern of fault and fracture zones, some of which will be important for slope stability and operational planning of the final stages of the mine.
Seismic depth imaging of a geothermal system in Southern Tuscany
Authors: Riedel Marko , Dutsch Cora , Alexandrakis Catherine , Dini Ivano , Ciuffi Simonetta , Buske Stefan 
Published: April 2015

ABSTRACTThis work represents a case study concerning the application of reflection seismic imaging methods in the context of geothermal exploration. Our goal is to obtain accurate structural images of a geothermal active area in southern Tuscany. These images will be required in subsequent studies as the input for geological model building and numerical simulation of the heat transport and fluid flow. The target region exhibits great geologic complexity, including strong velocity contrasts, lateral near‐surface inhomogeneities, fracture zones, and significant topography. Those features are typical for a volcanic hard‐rock environment and pose significant challenges to conventional seismic imaging methodology. Therefore, we apply a sophisticated and robust depth imaging workflow to previously acquired surface seismic data. Within our workflow, we focus on estimating the seismic velocities of the predominant rock units and subsequently carry out Kirchhoff pre‐stack depth migration and Fresnel volume migration to obtain high‐resolution images of the subsurface. Our results demonstrate that the applied methodology provides a valueable tool for imaging in a complex environment such as a volcano‐geothermal area. In detail, the resulting reflector images show the main horizons that delineate the Tuscan sedimentary rocks in the target region. The images from standard Kirchhoff migration can be significantly enhanced by utilizing Fresnel volume migration, which eliminates migration artefacts and provides a better result. Moreover, we obtain the migration velocities and depths for an important regional reflector, known as the K‐horizon, which is of major interest for geothermal characterization.