bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Critical Care Nursing Certification on Pediatric Patient Outcomes*
Authors: Hickey Patricia A. , Gauvreau Kimberlee , Porter Courtney , Connor Jean A. 
Published: June 2018

Objectives:
To examine the relationship of nursing and unit characteristics including Critical Care Registered Nurse certification on patient complications for children undergoing congenital heart surgery in free-standing children’s hospitals in the United States.

Design:
A cross-sectional descriptive survey of nursing and organizational characteristics was sent electronically.

Setting:
Free-standing children’s hospitals in the United States.

Patients:
Children undergoing congenital heart surgery (congenital cardiac cases).

Intervention:
Nursing and unit characteristics from children’s hospitals were obtained via electronic survey during years 2010 and 2014. Survey data from 2014 were linked with patient-level data age less than 18 years old using the Pediatric Health Information System for years 2013–2014. The Complication Screening Method of Congenital Heart Surgery was used to adjust for baseline patient differences.

Measurements and Main Results:
Among 23 of 43 free-standing children’s hospitals (53%) in 2014, the median proportion of nurses with Bachelor of Science in Nursing preparation or higher at each site was 77% and with Critical Care Registered Nurse certification was 24%. Among 12,324 eligible congenital cardiac cases, the rate of complication was 34.4%. The odds of complications significantly decreased as the institutional percentage of nurses with a Bachelor of Science in Nursing increased (odds ratio, 0.83; p = 0.04). The odds of complications also significantly decreased as the institutional percentage of nurses with Critical Care Registered Nurse certification increased (odds ratio, 0.86; p = 0.02).

Conclusions:
Bachelor of Science in Nursing education and Critical Care Registered Nurse certification significantly impact pediatric patient outcomes. Recognition of nursing and organizational characteristics that are associated with improved pediatric patient outcomes is important to patients, their families, and society. Clinical leaders must commit to facilitating pathways for hiring candidates with Bachelor of Science in Nursing as a minimum to practice in PICUs and supporting a culture of professional certification.
Texting as a Means of Reducing Pediatric Adolescent Psychiatric Emergency Encounters Wait Times
Authors: van den Berk-Clark Carissa , Hughes Rachel , Haywood Sally , Andrews Bart , Gordin Peggy 
Published: June 2018

Rationale
There is no universal system to facilitate communication between emergency rooms (ERs) and pediatric mental health providers, which leads to long wait times. This project tested the concept that a group texting application (GroupMe) could improve communication between providers and could reduce wait times by allowing frontline workers to contact multiple providers simultaneously.

Methods
We compared total wait times or overall length of service of 906 ER encounters before and 921 encounters after the GroupMe texting application was implemented. To reduce differences between preintervention and postintervention time points, we utilized propensity score matching to generate a matched group of controls (total sample n = 831 ER encounters before and n = 831 ER encounters after).

Results
Although there were no differences in total wait times when using the GroupMe application, there was a significant decrease in wait times after patients were diagnosed in ER by psychiatric provider both before (mean difference, 96.4 minutes saved; t = 2.23; P < 0.05) and after propensity score matching (mean difference, 88.0 minutes saved; t = 2.48; P < 0.05) for disposition type and acuity level.

Conclusions
Use of a group texting application has the potential to improve communication and wait times. However, its ability to reduce overall wait times is hampered when the limited availability of pediatric psychiatry providers results in delays in diagnosis and treatment decisions.
Impact of Changes Over Time in the Stanford University Genotypic Resistance Interpretation Algorithm
Authors: Hart Stephen A. , Vardhanabhuti Saran , Strobino Sarah A. , Harrison Linda J. 
Published: June 2018

Introduction:
The Stanford HIV-1 genotypic resistance interpretation algorithm has changed substantially over its lifetime. In many studies, the algorithm version used is not specified. It is easy to assume that results across versions are comparable, but the effects of version changes on resistance calls are unknown. We evaluate these effects for 20 antiretroviral drugs.

Methods:
We calculated resistance interpretations for the same 5993 HIV-1 sequences, from participants in AIDS Clinical Trials Group studies, under 14 versions of the Stanford algorithm from 2002 to 2017. Trends over time were assessed using repeated-measures logistic regression. Changes in rule structure and scoring were examined.

Results:
For most drugs, the proportion of high-level resistance calls on the same sequences was greater using more recent algorithm versions; 16/20 drugs showed significant upward trends. Some drugs, especially tenofovir, had a substantial increase. Only darunavir had a decrease. Algorithm changes impacted calls for subtype C more than B. For intermediate and high-level resistance combined, effects were weaker and more varied. Over time, rules in the Stanford algorithm have become more complex and contain more subrules. The types of rule changes responsible for trends varied widely by drug.

Discussion:
Reporting the Stanford algorithm version used for resistance analysis is strongly recommended. Caution should be used when comparing results between studies, unless the same version of the algorithm was used. Comparisons using different Stanford versions may be valid for drugs with few changes over time, but for most comparisons, version matters, and for some drugs, the impact is large.
In silico identification of GPI-anchored proteins in Paracoccidioides
Authors: Basso L.R. , Gonçales R.A. , Vasconcelos E.J.R , Reis T.F. , Ruy P. C. , Ruiz J.C. , Coelho P.S.R. 
Published: June 2018

ABSTRACTGlycosylphosphatidylinositol-anchored proteins (GPI-proteins) are widely found in eukaryotic organisms. In fungi, GPI-proteins are thought to be involved in diverse cellular mechanisms such as cell wall biosynthesis and cell wall remodeling, adhesion, antigenicity, and virulence. The conserved structural domains of GPI-protein allow the utilization ofin silicoprediction approach to identify this class of proteins using a genome-wide analysis. We used different previously characterized algorithms to search for genes that encode predicted GPI-proteins in the genome ofP. brasiliensis and P. lutzii, thermal dimorphic fungi that causes paracoccidioidomycosis (PCM). By using these methods, 98 GPI-proteins were found inP. brasiliensiswith orthologs inP. lutzii. A series of 28 GPI-proteins were classified in functional categories (such as glycoside hydrolases, chitin-processing proteins, and proteins involved in the biogenesis of the cell wall). Furthermore, 70 GPI-proteins exhibited homology with hypothetical conserved proteins of unknown function. These data will be an important resource for the future analysis of GPI-proteins inParacoccidioides spp.
Formal Analysis of Network Motifs
Authors: Kugler Hillel , Dunn Sara-Jane , Yordanov Boyan 
Published: June 2018

AbstractA recurring set of small sub-networks have been identified as the building blocks of biological networks across diverse organisms. These network motifs have been associated with certain dynamical behaviors and define key modules that are important for understanding complex biological programs. Besides studying the properties of motifs in isolation, existing algorithms often evaluate the occurrence frequency of a specific motif in a given biological network compared to that in random networks of similar structure. However, it remains challenging to relate the structure of motifs to the observed and expected behavior of the larger network. Indeed, even the precise structure of these biological networks remains largely unknown. Previously, we developed a formal reasoning approach enabling the synthesis of biological networks capable of reproducing some experimentally observed behavior. Here, we extend this approach to allow reasoning about the requirement for specific network motifs as a way of explaining how these behaviors arise. We illustrate the approach by analyzing the motifs involved in sign-sensitive delay and pulse generation. We demonstrate the scalability and biological relevance of the approach by revealing the requirement for certain motifs in the network governing stem cell pluripotency.
Masculine vs feminine personality traits and women’s employment outcomes in Britain
Authors: Drydakis Nick , Sidiropoulou Katerina , Bozani Vasiliki , Selmanovic Sandra , Patnaik Swetketu 
Published: June 2018

Purpose
The purpose of this paper is to examine whether masculine personality traits in women generate better job market prospects, as compared to feminine personality traits.

Design/methodology/approach
The authors utilized a field experiment (correspondent test) to capture the way in which firms respond to women who exhibit masculine and feminine personality traits. In doing so, the authors minimized the potential for reverse causality bias and unobserved heterogeneities to occur.

Findings
Women who exhibit masculine personality traits have a 4.3 percentage points greater likelihood of gaining access to occupations than those displaying feminine personality traits. In both male- and female-dominated occupations, women with masculine personality traits have an occupational access advantage, as compared to those exhibiting feminine personality traits. Moreover, women with masculine personality traits take up positions which offer 10 percentage points higher wages, in comparison with those displaying feminine personality traits. Furthermore, wage premiums are higher for those exhibiting masculine personality traits in male-dominated occupations than for female-dominated positions.

Practical implications
Within the labor market, masculine personality traits may increase competency levels and leadership capability.

Social implications
As feminine personality traits are stereotypically attributed to women, and these characteristics appear to yield fewer rewards within the market, they may offer one of many plausible explanations as to why women experience higher unemployment rates, while also receiving lower earnings, as compared to men.

Originality/value
Masculine and feminine personality traits may be a probable outcome of wage-related differentials. The experimental study isolates spurious relationships and offers clear evaluations of the effect of masculine and feminine personality traits on occupational access and wage distribution. To the best of the authors knowledge, this is the first-field experiment to examine the effect of masculine and feminine personality traits on entry-level pay scales.
The Airports Commission, the Dilemmas of Political Leadership and the Third Runway at Heathrow Airport
Authors: Griggs Steven , Howarth David 
Published: June 2018

AbstractThis article assesses the character, role and outcomes of the Airports Commission. Analysing its workings from September 2012, it evaluates the final recommendations and then charts their subsequent public reception. The article claims that the Airports Commission's endeavours to depoliticise aviation by using ‘reasonable’ methods and impartial judgements—often embodied in Howard Davies himself—have been met with local resistance and political opposition, focussed on the proposal to expand either Heathrow or Gatwick. It exposes how the recourse to expert commissions offers only temporary respite for government responsibility and accountability in the making of hard decisions. It concludes that the inability to secure a binding and acceptable agreement does not just reside at the door of the Airports Commission, but rests also on the failures of political leadership and the ‘missed opportunity’ to articulate a sustainable vision for aviation after the 2010 moratorium on airport expansion in the south‐east of England.
Duration of secretory IgM and IgA antibodies to respiratory syncytial virus in a community study in Guinea‐Bissau
Authors: Stensballe LG , Kofoed P-E , Nante EJ , Sambo M , Jensen IP , Aaby P 
Published: June 2018

Respiratory syncytial virus (RSV) is probably the single major cause of lower respiratory infection (LRI) among infants worldwide. Its relative importance may be underestimated, as the diagnosis is based on antigen detection and antigen may only be detectable in the early phase of infection. We have therefore assessed the duration of secretory IgM and IgA antibody responses and whether assays for these antibodies can be used to improve the diagnosing of RSV‐associated infections. During two RSV epidemics in Guinea‐Bissau, 32 RSV antigen‐positive children with LRI were followed with sequential nasopharyngeal suction on days 7, 14, 30, 60 and 120 in the first epidemic and every fortnight for 6 mo after the second epidemic to measure the duration of secretory IgM and IgA responses. Nearly all of the children had an IgM response during the first month after infection. The response ratio was highest on days 7 and 14, being 84% and 71%, respectively. After 30 d the IgM response decreased rapidly. Among 27 age‐ and sex‐matched controls, only 1 child was positive for IgM. During the second epidemic, when the children were followed more intensively, half of the children were IgM‐positive after the acute phase of infection. A secondary response may be more likely in children with low IgM responses in the acute phase (RR = 2.08 (95% confidence interval (CI) 0.92–4.70)). The IgA response was highest on days 28 and 42 after antigen detection, 72% having a detectable IgA response within the first 1.5 mo. Among 27 controls, only 2 were IgA‐positive (7%). In the second epidemic with more intensive follow‐up, 62% (8/13) of the IgA‐positive children had a response that lasted 10 wk. Of the children with no persistent IgA response, half (5/10) had a subsequent IgA‐positive response after the first 42 d. All of these children had a simultaneous IgM‐positive response. When 29 of the children were tested after an epidemic when they were 1–3‐y‐old, >80% again had high IgM (24/29, 82%) and IgA (28/29, 94%) levels.Among samples collected over a 1‐y period from infants with LRI in a community morbidity surveillance conducted at the local health centre and via paediatric outpatient consultation, 17% (110/659) were antigen‐positive, 26% (171/659) IgM‐positive and 38% (248/659) either antigen‐ or IgM‐positive. IgM responses are short‐lived among infants and may therefore be used as an indication of recent RSV infection among children with LRI. Using both antigen and IgM detection may significantly improve our detection of RSV infections.
Do Proprietary Algorithmic Traders Withdraw Liquidity during Market Stress?
Authors: Nawn Samarpan , Banerjee Ashok 
Published: June 2018

AbstractWe investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. Using order‐level data from the National Stock Exchange of India, we find that proprietary algorithmic traders increase limit order supply following periods of both high short‐term stock‐specific volatility and extreme stock price movement. Even following periods of high marketwide volatility, they do not decrease their supply of liquidity. We define orders from high‐frequency traders as a subclass of orders from proprietary algorithmic traders that are revised in less than three milliseconds. The behavior of high‐frequency trading mimics the behavior of its parent class. This is inconsistent with the theory that fast traders leave the market when stress situations arise, although their limit‐order‐supplying behavior becomes weaker when the increase in short‐term volatility is more informational than transitory. Agency algorithmic traders and nonalgorithmic traders behave opposite to proprietary algorithmic traders by reducing the supply of liquidity during stress situations. The presence of faster traders in the market possibly instills the fear of adverse selection in them. We document that the order imbalance of agency algorithmic traders is positively related to future short‐term returns, whereas the order imbalance of proprietary algorithmic traders is negatively related to future short‐term returns.
МІКРОБІОТА ПОРОЖНИНИ ТОВСТОЇ КИШКИ У ЖІНОК З НЕПЛІДНІСТЮ II ТИПУ
Authors: Bendas V. V. , Sydorchuk L. I. , Yakovychuk N. D. 
Published: June 2018

Метою роботи було дослідити стан мікробіоти вмісту порожнини товстої кишки жінок з неплідністю II типу, вивчити таксономічний склад та популяційний рівень кожного таксону в біотопі.Пацієнти і методи. Протягом 2000-2016 рр. нами проводилося мікробіологічне обстеження 67 жінок дітородного віку з неплідністю II типу. У жінок з неплідністю II типу вивчалася мікробіота вульвовагінального вмісту і вмісту порожнини товстої кишки. Вік жінок був від 18 до 34 років (у середньому 26,00±1,12 р.). Діагноз верифіковано акушерами і гінекологами за результатами клініко-лабораторних, інструментальних і спеціальних досліджень. Контрольну групу склала 41 жінка віком від 19 до 35 років (середній вік 25,87±1,29 р.), які протягом останніх шести місяців не хворіли на будь-які інфекційні та неінфекційні хвороби, включаючи гінекологічні захворювання, і вважали себе практично здоровими.
CT-guided percutaneous core biopsy for assessment of morphologically normal adrenal glands showing high FDG uptake in patients with lung cancer
Authors: Chassagnon Guillaume , Bennani Souhail , Freche Gaël , Magdeleinat Pierre , Mansuet-Lupo Audrey , Revel Marie-Pierre 
Published: June 2018

Objective:
Increased fludeoxyglucose (FDG) uptake in morphologically normal adrenal glands on positron emission tomography-CT (PET-CT) is a diagnostic challenge with major implications on treatment. The purpose of this retrospective study was to report our experience of CT-guided percutaneous core biopsy of morphologically normal adrenal glands showing increased FDG uptake in a context of lung cancer.

Methods:
Biopsies for non-enlarged adrenal glands showing increased FDG uptake in lung cancer patients performed at our institution from December 2014 to December 2016 were retrospectively analyzed. Six biopsies were performed in five patients during the study period. All procedures were performed with the patients in the prone position, using a posterior approach and coaxial 17-gauge needles with 18-gauge automated cutting needles. Patient characteristics, procedural details and final pathological diagnosis were analyzed, as well as the duration of hospitalization.

Results:
Five of the six biopsies (83.3%) confirmed adrenal metastasis from the primary lung cancer. No complications were reported and the patients were discharged the day after the procedure.

Conclusion:
The high confirmation rate of metastasis and lack of complications support performing CT-guided percutaneous biopsy of non-enlarged adrenal glands showing increased FDG uptake, for optimal management in lung cancer patients.

Advances in knowledge:
Morphologically normal adrenal glands showing high FDG uptake in patients with lung cancer are metastasis. This manuscript shows that CT-guided percutaneous biopsy should be proposed. Increased FDG uptake in morphologically normal adrenal glands may indicate metastasis.
Exact behavior around isolated singularity for semilinear elliptic equations with a log-type nonlinearity
Authors: Ghergu Marius , Kim Sunghan , Shahgholian Henrik 
Published: June 2018

Abstract
We study the semilinear elliptic equation

-\Delta u=u^{\alpha}\lvert\log u|^{\beta}\quad\text{in }B_{1}\setminus\{0\},

where

{B_{1}\subset{\mathbb{R}}^{n}}

, with

{n\geq 3}

,

{\frac{n}{n-2}<\alpha<\frac{n+2}{n-2}}

and

{-\infty<\beta<\infty}

.
Our main result establishes that the nonnegative solution

{u\in C^{2}(B_{1}\setminus\{0\})}

of the above equation either has a removable singularity at the origin or it behaves like

u(x)=A(1+o(1))|x|^{-\frac{2}{\alpha-1}}\Bigl{(}\log\frac{1}{|x|}\Big{)}^{-%
\frac{\beta}{\alpha-1}}\quad\text{as }x\rightarrow 0,

with

{A=[(\frac{2}{\alpha-1})^{1-\beta}(n-2-\frac{2}{\alpha-1})]^{\frac{1}{\alpha-1%
}}.}
Biorthogonal wavelet codes with prescribed code distance
Authors: Soloviev Alexander A. , Chernikov Dmitry V. 
Published: June 2018

Abstract
We propose a scheme of construction of 2-circulant codes with given code distance on the basis of biorthogonal filters with the property of perfect reconstruction over a finite filed of odd characteristic. The corresponding algorithm for constructing biorthogonal filters utilizes the Euclidean algorithm for finding the gcd of polynomials.
Technological Innovation and Product Market Conditions: R&D Rivalry, Market Competition, and Customer Satisfaction
Authors: Choi Kyeong-Seop 
Published: June 2018

AbstractWith regard to research and development (R&D), corporate finance tends to be too broad, whereas marketing tends to be too specific. Using the marketing–finance interface, new R&D expenditure variables are constructed to reflect industry rivalry by incorporating industry-year median and standard deviation. Market competition and customer satisfaction are also included in the regression. Dynamic generalized-method-of-moments regressions based on US data provide subversive results. Sales and cash flow, which are reported in prior literature to be associated with R&D investment, were insignificant. Leverage, known as detrimental to investment in intangible assets, such as R&D, contributed to rivalrous and strategic R&D investments. Of course, high market-to-book ratios encourage such R&D investments. However, in high-tech industries, market competition absorbs all other influences on R&D, though the impact of market competition on R&D is negative. We also expect that while high customer satisfaction in the product markets could broadly serve as a suppressor to R&D, it can also serve as a driver for young and high-tech firms.
An Accurate and Rapid System to Identify Play Patterns in Tennis Using Video Recording Material: Break Point Situations as a Case Study
Authors: Prieto-Lage Iván , Prieto M.A. , Curran Thomas P. , Gutiérrez-Santiago Alfonso 
Published: June 2018

AbstractThe goal of this study was to present an accurate and rapid detection system to identify patterns in tennis, based on t-pattern analysis. As a case study, the break point situations in the final matches of the clay court tournaments played during the seasons 2011 and 2012 between the tennis players Novak Djokovic and Rafael Nadal were chosen. The results show that Nadal achieves a higher conversion rate with respect to Djokovic in the break point situations, independent of the outcome of the match. Some repetitive patterns of both players were revealed in break point circumstances. In long rally sequences (higher than seven hits), the Spanish player won more break points, both serving and receiving, as a result of unforced errors of his opponent’s backhand. In medium rally sequences (between four and seven hits), other factors such as the type, direction or serve location have shown to play an important role in the outcome of the point. The study also reveals that Djokovic frequently commits double faults in these critical situations of the match. This is the first time that t-patterns have been used to analyze the sport of tennis. The technique is based on computer vision algorithms and video recording material to detect particular relationships between events and helps to discover the hidden mechanistic sequences of tennis players.