bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pediatric Esophageal Squamous Cell Carcinoma Staged With 18F-FDG PET/CT
Authors: Kong Melissa Cindy , Nadel Helen Ruth 
Published: October 2018

Abstract
A 15-year-old boy with autism and swallowing dysfunction presented with a 6-month history of fatigue, intermittent abdominal pain, and weight loss. He later became febrile and had multiple episodes of coffee ground emesis and melena stools. An upper endoscopy showed an esophageal mass, and a subsequent 18F-FDG PET/CT scan confirmed this finding. PET/CT also revealed metastatic disease in local lymph nodes, thus upstaging the patient and indicating poor prognosis. Consideration of these severe results and the patient’s quality of life helped guide decision making in patient management, with the ultimate decision to pursue palliative care.
Impact on Breastfeeding According to Implant Features in Breast Augmentation
Authors: Bompy Lisa , Gerenton Brice , Cristofari Sarra , Stivala Alessio , Moris Vivien , See Leslie-Ann , Rizzi Philippe , Braye Fabienne , Meningaud Jean-Paul , Zwetyenga Narcisse , Guillier David 
Published: October 2018

Background
Exclusive breastfeeding is highly recommended by the World Health Organization during the first 6 months of life. In parallel, breast augmentation with implants is one of the most performed operations in aesthetic surgery.

Objective
The goal of our study was therefore to analyze the potential impact of aesthetic breast implants on breastfeeding.

Study Design
A retrospective study was carried out in 3 French university hospitals. The main inclusion criterion was adult women of childbearing age (18–50 years old) with bilateral breast hypoplasia. Some features of the surgery, such as the operative indication, the surgical approach, the implant position against the pectoral muscle, and implants features (material, volume, profile), were collected. We conducted a survey by phone about childbirth after the procedure. If the women had children after surgery, we asked them if they breastfed and the characteristics of breastfeeding.

Results
In total, 1316 patients received breast implants in the 3 centers from January 2011 to October 2016 and met our inclusion criteria. We included 1073 patients; 998 women had breast implants with no pregnancy. Among the 75 patients (7%) who gave birth after the surgery, 51 wanted to breastfeed (68%). The patients with a retroglandular implant were significantly less able to breastfeed compared with the patients with retromuscular implants (P = 0.0005). No difference was found for age, the type of surgery, the surgical approach, and the shape or type of implant between the successful breastfeeding group and failed breastfeeding group.

Conclusion
A woman with aesthetic breast implants has a 75% chance of breastfeeding if desired, regardless of the type and the volume of the implant and the surgical approach. She has an 82% probability of breastfeeding with retromuscular implants and 17% with retroglandular implants.
Single Low Dose of Human Recombinant Antithrombin (ATryn) has no Impact on Endotoxin-Induced Disseminated Intravascular Coagulation: An Experimental Randomized Open Label Controlled Study
Authors: Duburcq Thibault , Durand Arthur , Tournoys Antoine , Gnemmi Viviane , Bonner Caroline , Gmyr Valery , Hubert Thomas , Pattou François , Jourdain Mercedes 
Published: October 2018

ABSTRACT

Background:
Antithrombin (AT) III physiological levels are decreased during septic shock and supplementation therapy could therefore be beneficial.

Objective:
We hypothesized that the use of recombinant human AT could reduce disseminated intravascular coagulation (DIC) occurrence.

Methods:
We conducted a randomized open label controlled experimental study. Ten female “Large White” pigs were challenged with i.v. infusion of Escherichia coli endotoxin. Two groups of 5 pigs were randomly assigned to receive either recombinant human AT 100 U/kg over 30 min (ATryn group) or 0.9% saline (control group). AT III levels, coagulation, hemostasis, inflammation parameters, hemodynamics, and microcirculatory parameters were measured over a 5-h period. Immediately after euthanasia, kidneys were withdrawn for histology evaluation. Statistical analysis was performed with nonparametric tests and Dunn's test for multiple comparisons.

Results:
AT III activity was significantly higher in the ATryn group than in the control group from 60% (213% [203–223] vs. 104% [98–115], P = 0.008, respectively) to 300 min (115% [95–124] vs. 79% [67–93], P = 0.03). Recombinant human AT supplementation had no impact on hemodynamics, microcirculatory parameters, and sequential changes of coagulation parameters (platelet count, fibrinogen level, thrombin–AT complexes, and von Willebrand factor). Interleukin 6 and tumor necrosis factor α values were statistically the same for both groups throughout the study. Percentage of thrombosed glomeruli and percentage of thrombosed capillary in glomerulus were not significantly different between both groups.

Conclusions:
In our model of endotoxic shock, a single low dose of recombinant human AT did not prevent DIC occurrence, severity, inflammatory profile, or hemodynamic alterations.
Spontaneous aggressive ERα+ mammary tumor model is driven by Kras activation
Authors: Campbell Katie M. , O’Leary Kathleen A. , Rugowski Debra E. , Mulligan William A. , Barnell Erica K. , Skidmore Zachary L. , Krysiak Kilannin , Griffith Malachi , Schuler Linda A. , Griffith Obi L. 
Published: October 2018

SummaryThe NRL-PRL murine model, defined by mammary-selective transgenic rat prolactin ligand rPrl expression, establishes spontaneous ER+ mammary tumors, mimicking the association between elevated prolactin (PRL) and risk for development of ER+ breast cancer in postmenopausal women. Whole genome and exome sequencing in a discovery cohort (n=5) of end stage tumors revealed canonical activating mutations and copy number amplifications of Kras. The frequent mutations in this pathway were validated in an extension cohort, identifying activating Ras alterations in 79% (23/29) of tumors. Transcriptome analyses over the course of oncogenesis revealed marked alterations associated with Ras activity in established tumors, compared to preneoplastic tissues, in cell-intrinsic processes associated with mitosis, cell adhesion and invasion, as well as in the tumor microenvironment, including immune activity. These genomic analyses suggest that PRL induces a selective bottleneck for spontaneous Ras-driven tumors which may model a subset of aggressive clinical ER+ breast cancers.
Extreme resistance toPotato Virus Yin potato carrying theRystogene is mediated by a TIR-NLR immune receptor
Authors: Grech-Baran Marta , Witek Kamil , Szajko Katarzyna , Witek Agnieszka I , Morgiewicz Karolina , Wasilewicz-Flis Iwona , Jakuczun Henryka , Marczewski Waldemar , DG Jones Jonathan , Hennig Jacek 
Published: October 2018

ABSTRACTPotato virus Y(PVY) is a major potato pathogen that causes annual losses of billions of dollars. Control of its transmission requires extensive use of environmentally damaging insecticides.Rystoconfers extreme resistance (ER) to PVY and is a valuable trait in resistance breeding programs. We isolatedRystousing Resistance gene enrichment sequencing (RenSeq) and PacBio SMRT (Pacific Biosciences Single-Molecule Real Time Sequencing).Rystoencodes a nucleotide binding-leucine rich repeat (NLR) protein with an N-terminal TIR domain, and is sufficient for PVY perception and extreme resistance in transgenic potato plants. We investigated the requirements forRysto-dependent extreme resistance, and showed thatRystofunction is temperature-independent and requires EDS1 and NRG1 proteins. Rystomay prove valuable for creating PVY-resistant cultivars of potato and otherSolanaceaecrops.
STAPLER: a simple tool for creating, managing and parallelizing common high-throughput sequencing workflows
Authors: Tyrmi Jaakko S 
Published: October 2018

AbstractSTAPLER is a command line program intended for creating, managing and parallelizing bioinformatics workflows. Considerable emphasis has been placed on the ease of adoption and use by effortless installation, simple definition of workflows and quick-start tutorials. Custom workflows can be defined in an easy, modular way allowing the user to choose the desired input data, analysis tools and parameters with a simple parameter file. STAPLER then generates shell scripts that execute the workflow on a personal computer or in a supercomputing environment. Log files are generated to ensure that experimental results can be reproduced, and features are provided for validating run success and allowing rerunning parts of workflow if necessary. STAPLER is freely available on the web at https://github.com/tyrmi/STAPLER, implemented in Python 2 and supported on any UNIX or UNIX-like platform.
Receding horizon control of mobile robots for locating unknown wireless sensor networks
Authors: Chen Dilong , Lu Qiang , Peng Dongliang , Yin Ke , Zhong Chaoliang , Shi Ting 
Published: October 2018

Purpose
The purpose of this paper is to propose a receding horizon control approach for the problem of locating unknown wireless sensor networks by using a mobile robot.

Design/methodology/approach
A control framework is used and consists of two levels: one is a decision level, while the other is a control level. In the decision level, a spatiotemporal probability occupancy grid method is used to give the possible positions of all nodes in sensor networks, where the posterior probability distributions of sensor nodes are estimated by capturing the transient signals. In the control level, a virtual robot is designed to move along the edge of obstacles such that the problem of obstacle avoidance can be transformed into a coordination problem of multiple robots. On the basis of the possible positions of sensor nodes and virtual robots, a receding horizon control approach is proposed to control mobile robots to locate sensor nodes, where a temporary target position method is utilized to avoid several special obstacles.

Findings
When the number of obstacles increases, the average localization errors between the actual locations and the estimated locations significantly increase.

Originality/value
The proposed control approach can guide the mobile robot to avoid obstacles and deal with the corresponding dynamical events so as to locate all sensor nodes for an unknown wireless network.
Language as heteroglot
Authors: Cordeiro Cheryl Marie 
Published: October 2018

PurposeThe purpose of this paper is to reframe the role and function of perceived “bad English” in an international business (IB) context to illustrate that “bad English” could in fact facilitate cross-cultural communication in individuals who do not have English as first language.Design/methodology/approachThis study uses the Bakhtinian concept of heteroglossia as a theoretical framework. For the method of analysis, applied linguistics is used in particular through the lens of systemic functional linguistics (SFL) as discourse analysis method to analyze transcribed interview texts. Data collection is via long interviews with 33 top level managers in Swedish managed organizations in Singapore offices.FindingsThe study illustrates, through respondent interviews and discourse analysis, that perceived “bad English” could help facilitate communication across cultures in a cross-cultural working context. The study also shows how different individuals, depending on personal experience and cultural background, employ different means to navigate and manage language differences at work.Research limitations/implicationsThe findings confirm a Baktinian perspective of language as a heteroglot, where individual identities and understanding of context at work including work behavior are an amalgamation of collected experiences. While many individuals who do not have English as mother tongue might feel embarrassed by their poor English, this study shows that there are many Englishes existing in different working contexts. This study has a limited sample of respondents, pertaining to Swedish and Singaporean top managers in Swedish managed organizations in Singapore.Practical implicationsThis study could be useful for multinational corporations that are interested in strategically managing their corporate language policies, taking into account cognitive differences or cultural identities in different offices worldwide.Social implicationsAt a social level, Bakhtin’s language as a heteroglot brings to awareness that at any one time, while individuals are drawn to identify with their dominant (national) culture and language, in effect, with increased contact with other cultures in working environments, both language and cultural identities shift and evolve with the workplace.Originality/valueThis study contributes to the growing language in IB research. The novelty in this study is the employment of a Bakhtinian perspective and specifically the employment of SFL as a method of data analysis.
Mediating effects of user experience usability
Authors: Ke Ping , Su Fu 
Published: October 2018

Purpose
This study aims to explore whether the usability of user experience for mobile library application plays a mediating role in the relation between the success factors of information systems and net benefit.

Design/methodology/approach
The theoretical model of “information system success factor–user experience usability–net benefit” was constructed. A questionnaire was conducted at the Nankai University. The mediating effects of the usability of the mobile library application on information system success factors and net benefit were examined using hierarchical linear regression and structural equations.

Findings
First, the usability of user experiences is positively correlated to information quality, system quality and service quality. Second, user experience usability has a significant mediating effect on the relation between information system success factors and net benefit.

Originality/value
This study improves upon the DeLone and McLean model, connects the usability of user experience with the model and constructs the success factor mechanism of the mobile library application. It provides a theoretical basis for interpreting the relation between the mobile library application and users.
Toward a contagion-based model of mobile banking adoption
Authors: Chaouali Walid , El Hedhli Kamel 
Published: October 2018

PurposeThe purpose of this paper is to address the following question: Can a bank capitalize on its well-established self-service technologies (SSTs) in order to entice customers to adopt a newly introduced SST, namely, mobile banking? More specifically, it proposes an integrative model that simultaneously investigates the transference effects of attitudes, trust and the contagious influences of social pressures on mobile banking adoption intentions.Design/methodology/approachStructural equation modeling is applied to data collected from banks’ clients who are actually non-users of mobile banking.FindingsThe results indicate that attitude toward and trust in mobile banking along with coercive, normative and mimetic pressures are key antecedents to mobile banking adoption intentions. In addition, attitudes toward automated teller machines (ATMs) and online banking significantly predict attitude toward mobile banking. The results also support the effects of trust in ATMs as well as trust in online banking on trust in mobile banking. Moreover, predicted differences in the relative effects of attitude and trust are supported. Particularly, attitude toward online banking has a stronger impact on attitude toward mobile banking compared to the impact of attitude toward ATMs. In the same vein, the effect of trust in online banking on mobile banking is significantly stronger than the effect of trust in ATMs.Practical implicationsThe study’s results hint at some practical and worthwhile guidelines for banks that can be leveraged in communication campaigns aiming at boosting the adoption rates of mobile banking. Banks can take advantage of the transference effects of the established attitudes toward and trusting beliefs in their mature SSTs as well as the contagious social influences in inducing the adoption of a newly introduced SST.Originality/valueThe present study represents a first step toward generating new insights into the role of the joint effects of attitudes, trust and social influences in the adoption of a new SST.
Exploring the inflationary effect of oil price in the US
Authors: Lahiani Amine 
Published: October 2018

PurposeThe purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.Design/methodology/approachThe author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth.FindingsThe findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices.Practical implicationsPolicymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target.Originality/valueThe paper used a quantile regression model with structural breaks, which has not yet been used in the literature.
Prediction and improvement of iron casting quality through analytics and Six Sigma approach
Authors: Mishra Nandkumar , Rane Santosh B. 
Published: October 2018

Purpose
The purpose of this technical paper is to explore the application of analytics and Six Sigma in the manufacturing processes for iron foundries. This study aims to establish a causal relationship between chemical composition and the quality of the iron casting to achieve the global benchmark quality level.

Design/methodology/approach
The case study-based exploratory research design is used in this study. The problem discovery is done through the literature survey and Delphi method-based expert opinions. The prediction model is built and deployed in 11 cases to validate the research hypothesis. The analytics helps in achieving the statistically significant business goals. The design includes Six Sigma DMAIC (Define – Measure – Analyze – Improve and Control) approach, benchmarking, historical data analysis, literature survey and experiments for the data collection. The data analysis is done through stratification and process capability analysis. The logistic regression-based analytics helps in prediction model building and simulations.

Findings
The application of prediction model helped in quick root cause analysis and reduction of rejection by over 99 per cent saving over INR6.6m per year. This has also enhanced the reliability of the production line and supply chain with on-time delivery of 99.78 per cent, which earlier was 80 per cent. The analytics with Six Sigma DMAIC approach can quickly and easily be applied in manufacturing domain as well.

Research limitations implications
The limitation of the present analytics model is that it provides the point estimates. The model can further be enhanced incorporating range estimates through Monte Carlo simulation.

Practical implications
The increasing use of prediction model in the near future is likely to enhance predictability and efficiencies of the various manufacturing process with sensors and Internet of Things.

Originality/value
The researchers have used design of experiments, artificial neural network and the technical simulations to optimise either chemical composition or mould properties or melt shop parameters. However, this work is based on comprehensive historical data-based analytics. It considers multiple human and temporal factors, sand and mould properties and melt shop parameters along with their relative weight, which is unique. The prediction model is useful to the practitioners for parameter simulation and quality enhancements. The researchers can use similar analytics models with structured Six Sigma DMAIC approach in other manufacturing processes for the simulation and optimisations.
From firm’s brand identity to cluster’s brand identity: a web-based analysis of Tuscan wineries
Authors: Devigili Matteo , Pucci Tommaso , Zanni Lorenzo 
Published: October 2018

PurposeThis paper aims to investigate the brand identity drivers used online by wineries and to assess cluster identity from the analysis of firms’ specific branding strategies.Design/methodology/approachChianti, Chianti Classico and Brunello di Montalcino wine clusters (located in Tuscany, Italy) were selected as the set for this study. A total of 452 wineries websites were analyzed using a text frequency query, and the results were further examined through a discriminant analysis.FindingsThe theoretical framework was modeled after a careful analysis of the literature and is composed of three macro-areas of identity drivers: locational, product/process and social attributes. The analysis of winery websites shows the presence of all the drivers examined, which explain not only the wineries’ specific strategies but also the drivers of a particular cluster’s brand identity. A discriminant analysis highlighted that some drivers are able to explain the unique characteristics of the three clusters.Originality/valueThis research seeks to build a holistic investigation of all the identity drivers used by firms online. The specific brand identity focus and the holistic approach can enrich both academics and practitioners with a framework of current branding strategies.