bluuebunny/crossref_metadata_2025_split huggingface dataset:
The NSIGHT1 Randomized Controlled Trial: Rapid Whole Genome Sequencing for Accelerated Etiologic Diagnosis in Critically Ill Infants
Authors: Petrikin Josh E. , Cakici Julie A. , Clark Michelle M. , Willig Laurel K. , Sweeney Nathaly M. , Farrow Emily G. , Saunders Carol J. , Thiffault Isabelle , Miller Neil A. , Zellmer Lee , Herd Suzanne M. , Holmes Anne M. , Batalov Serge , Veeraraghavan Narayanana , Smith Laurie D. , Dimmock David P. , Leeder Steven J. , Kingsmore Stephen F. 
Published: November 2017

AbstractImportanceGenetic disorders, including congenital anomalies, are a leading cause of morbidity and mortality in infants, especially in neonatal and pediatric intensive care units (NICU and PICU). While genomic sequencing is useful for diagnosis of genetic diseases, results are usually reported too late to guide inpatient management.ObjectiveTo test the hypothesis that rapid whole genome sequencing (rWGS) increases the proportion of infants in NICUs and PICUs receiving a genetic diagnosis within 28 days.DesignAn investigator-initiated, partially blinded, pragmatic, randomized controlled study with enrollment from October 2014 - June 2016, and follow up until December 2016.SettingA regional neonatal and pediatric intensive care unit in a tertiary referral childrens hospital.ParticipantsSixty five of 129 screened families with infants aged less than four months, in neonatal and pediatric intensive care units, and with illnesses of unknown etiology, completed the study.InterventionParent and infant trio rWGS.Main Outcome and MeasureThe hypothesis and end-points were formulated a priori. The primary end-point was rate of genetic diagnosis within 28 days of enrollment or first standard test order.ResultsTwenty six female proband infants, 37 male infants, and two infants of undetermined sex were randomized to receive rWGS plus standard tests (n=32, cases) or standard tests alone (n=33, controls). The study was terminated early due to loss of equipoise: 63% (21) controls received genomic sequencing as standard tests. Nevertheless, intention to treat analysis showed the rate of genetic diagnosis within 28 days to be higher in cases (31%, ten of 32) than controls (3%, one of 33; difference, 28% [95% CI, 10% to 46%]; p=0.003). Among infants enrolled in the first 25 days of life, the rate of neonatal diagnosis was higher in cases (32%, seven of 22) than controls (0%, zero of 23; difference, 32% [95% CI, 11% to 53%]; p=0.004). Age at diagnosis (median in cases 25 days, range 14-90 days vs median in controls 130 days, range 37-451) and time to diagnosis (median in cases thirteen days, range 1-84 days vs median in controls 107 days, range 21-429 days) were significantly less in cases than controls (p=0.04).CONCLUSIONSrWGS increased the proportion of infants in a regional NICU and PICU who received a timely diagnosis of a genetic disease. Additional, adequately powered studies are needed to determine whether accelerated diagnosis is associated with improved outcomes in this setting. ClinicalTrials.gov Identifier: NCT02225522.
CHRAC/ACF Contribute to the Repressive Ground State of Chromatin
Authors: Scacchetti Alessandro , Brueckner Laura , Jain Dhawal , Schauer Tamas , Zhang Xu , Schnorrer Frank , van Steensel Bas , Straub Tobias , Becker Peter B. 
Published: November 2017

ABSTRACTThe chromatin remodeling complexes CHRAC and ACF combine the ATPase ISWI with the signature subunit ACF1. These enzymes catalyze well-studied nucleosome sliding reactions in vitro, but how their actions affect physiological gene expression is unclear. Here we explored the influence of Drosophila CHRAC/ACF on transcription by complementary gain- and loss-of-function approaches.Targeting ACF1 to multiple reporter genes inserted at many different genomic locations revealed a context-dependent inactivation of poorly transcribed reporters in repressive chromatin. Accordingly, single-embryo transcriptome analysis of a Acf knock-out allele showed that only lowly expressed genes are de-repressed in the absence of ACF1. Finally, the nucleosome arrays in Acf-deficient chromatin show loss of physiological regularity, particularly in transcriptionally inactive domains.Taken together our results highlight that ACF1-containing remodeling factors contribute to the establishment of an inactive ground state of the genome through chromatin organization.
Explanation implies causation?
Authors: Myint Leslie , Leek Jeffrey T. , Jager Leah R. 
Published: November 2017

AbstractMost researchers do not deliberately claim causal results in an observational study. But do we lead our readers to draw a causal conclusion unintentionally by explaining why significant correlations and relationships may exist? Here we perform a randomized study in a data analysis massive online open course to test the hypothesis that explaining an analysis will lead readers to interpret an inferential analysis as causal. We show that adding an explanation to the description of an inferential analysis leads to a 15.2% increase in readers interpreting the analysis as causal (95% CI 12.8% - 17.5%). We then replicate this finding in a second large scale massive online open course. Nearly every scientific study, regardless of the study design, includes explanation for observed effects. Our results suggest that these explanations may be misleading to the audience of these data analyses.
The study of antibody responses to influenza neuraminidase using a lentiviral pseudotype based ELLA
Authors: Biuso Fabrizio , Carnell George , Montomoli Emanuele , Temperton Nigel 
Published: November 2017

AbstractInfluenza pseudotypes represent an alternative to wild type virus for serological assays. To date, pseudotypes (PV) have predominantly been used as surrogates for wild type viruses in microneutralisation assays, where the surface glycoprotein of interest and a reporter gene (such as Luciferase) are used to assess if virus entry into target cells could be inhibited by serum antibodies. The influenza neuraminidase (NA) has the ability to bud and release new virions with or without the contribution of Haemagglutinin (HA). Influenza pseudotypes expressing NA alone, or with HA, were produced to evaluate the antibody response against NA using the enzyme-linked lectin assay (ELLA). The expression of an avian HA with human NAs has enabled the detection of specific antibody reponses against the human circulating subtypes of NA. Within this study a PV-based ELLA assay has been investigated with a pilot panel of sera prepared for an international CONSISE study. Preliminary results have confirmed that the assay is sensitive and could potentially represent a valid alternative to the classical ELLA assay, which requires the employment of reassortant viruses.
Fast approach to calculate the ballastless track impedance
Authors: Zhang Hanhua , Li Jun , Zou Jun , Wang Zhixin , Yang Jin 
Published: November 2017

Purpose
The track impedance is one of the most important parameters in designing the track circuit which is widely used in the railway signal control system to detect the presence of a train. This paper aims to calculate the ballastless track impedance by taking account of the influence of reinforcement bars.

Design/methodology/approach
This paper proposes a two-step decomposition approach to calculate the ballastless track impedance. The basic idea is evaluating the track impedance without the reinforcement bars by using two-dimensional (2D) finite element method (FEM), and the incremental impedance, because of the reinforcement bar, is calculated by the partial element equivalent circuit (PEEC) method.

Findings
The numerical examples show that the proposed approach can guarantee the accuracy and largely reduce the computing time, at least 20 times, compared with the direct three-dimensional (3D) FEM method.

Research limitations/implications
The study provides a fast approach to calculate the ballastless track impedance. However, compared with the 3D FEM method, the results are less accurate because of the approximation and assumption adopted in the method. A future study should pay more attention to improve accuracy of the model.

Originality/value
A fast approach is proposed to calculate the ballastless track impedance taking account of the influence of the reinforcement bars. The computing time can be largely reduced by using the method. With the proposed approach, the influence of insulation of the reinforcement bars on track impedance can be analyzed.
Transient simulation of helical coil electromagnetic launchers
Authors: Yang Dong , Liu Zhenxiang , Shu Ting , Yang Lijia , Ouyang Jianming , Zhi Shen 
Published: November 2017

Purpose
Helical coil electromagnetic launchers (HEMLs) using motion-induced commutation strategy solve the problem of synchronization control perfectly. HEMLs can meet the requirements of multiple applications such as the electromagnetic catapult, electromagnetic mortar and high-velocity coilgun. The trade-off between the velocity and efficiency is an important basis for these different applications. To optimize such objectives before actual design, the purpose of this paper is to focus on the efficient and flexible calculation model and algorithm. A novel structure of HEML is proposed after the transient simulation by this algorithm, which can improve the energy conversion efficiency and suppress the muzzle arc without affecting the velocity too much.

Design/methodology/approach
The equivalent circuit model of the launcher is established and the governing equations are derived. A combination of the four-stage Runge–Kutta method and the trapezoidal quadrature formula are used to solve the governing equations.

Findings
With smaller number of turns in the coils of HEML, the velocity is larger and the efficiency is lower. The non-uniform HEML is an effective option to improve the energy conversion efficiency and to suppress the muzzle arc with almost the same muzzle velocity as the conventional HEML.

Originality/value
The paper presents a common model and a flexible fast numerical method which can be used in multi-objective optimization of HEMLs such as the genetic algorithm. A new structure of the non-uniform HEML is proposed to improve the energy conversion efficiency and to suppress the muzzle arc of the launcher.
Analysis on iron loss of switched reluctance motor under PWM mode
Authors: Yan Wenju , Chen Hao , Chen Lei , Wang Kai 
Published: November 2017

Purpose
This paper aims to establish a modified variable coefficient calculation model to analyse the control parameter effect on the iron loss of switched reluctance motor under pulse width modulation (PWM) mode.

Design/methodology/approach
The finite element model is solved to get the flux density by python language. Due to non-sinusoidal flux density feature and the effect of PWM excitation, the Fourier transform is applied in consideration of harmonic components. To improve the accuracy of iron loss computation, the effect of minor loops is considered by using the rain-flow counting method.

Findings
When the speed fluctuates around the set speed and the fluctuations are relatively small, it is useful to reduce the iron loss with smaller duty ratio and turn-on angle or greater duty ratio and smaller turn-off angle. The iron loss is less affected by chopping frequency, while the iron loss increases obviously with higher conduction angles. The iron loss under non-energy-returnable-voltage-chop mode is greater than energy-returnable-voltage-chop mode.

Originality/value
The modified variable coefficient MIEM5 iron loss model is proposed to improve the accuracy of iron loss calculation. Then the control parameters such as duty ratio, chopping frequency, turn on angle and turn off angle are analysed under PWM mode.
Analytical method for the prediction of natural frequencies of switched reluctance motor based on electromechanical analogy method
Authors: Tan Chao , Wang Honghua , Chen Ling 
Published: November 2017

Purpose
An improved analytical method for calculating the natural frequencies of a switched reluctance motor (SRM) stator is proposed in this paper. The method is different from traditional analytical methods, which only consider the influence of mass of the stator poles and windings on the natural frequencies of the SRM stator. This paper aims to consider the influence of stiffness and mass of the stator poles and windings simultaneously and reasonably.

Design/methodology/approach
An innovated analytical method based on the electromechanical analogy method is presented. In the proposed analytical formulae for calculating the natural frequencies, the influence of the windings on natural frequencies is considered by using the springs to simulate the flexible connection between the stator core and windings, and the stator poles are treated as both additional mass and additional equivalent stiffness. Both three-dimensional (3D) finite-element analysis (FEA) and experimental modal analysis results validate the improved method.

Findings
The influence of the mass and stiffness of stator winding is considered by using the springs to simulate the flexible connection between the stator core and windings, and the stator poles are treated as both additional mass and additional equivalent stiffness. The traditional analytical method only considers the influence of mass. Therefore, the calculation results are comparatively lower than 3D FEA results and may lead to a large error. The 3D FEA and experimental modal analysis confirm that the proposed method has good precision for low-order natural frequency calculation of SRMs.

Originality/value
An improved analytical method for calculating the natural frequencies of an SRM stator is proposed. Unlike the traditional analytical method, the proposed method can consider the influence of stiffness and mass of the stator poles and windings. This method is valuable for designers to predict the natural frequencies accurately.
Empirical relation for broken bar determination in SCIM
Authors: Sinha Ashish Kumar , Das Sukanta , Chatterjee Tarun Kumar 
Published: November 2017

Purpose
Condition monitoring of squirrel cage induction motors (SCIMs) is indispensible for achieving fault-free working environment. As broken rotor bars (BRBs) are one of the more frequent faults in a SCIM especially where direct-on-line starting is indispensible, as in underground mines, a priori knowledge of fault severity in terms of the number of BRBs assists in effective fault monitoring. In this regard, this paper aims to propose a unique empirical relation to facilitate the determination of number of BRB.

Design/methodology/approach
Fast Fourier transform is used to obtain fault sideband amplitudes under varying number of BRBs and load torque for 5.5 kW, 7.5 kW, 10 kW, three-phase, 415 V, 50 Hz SCIMs in MATLAB/Simulink. The nature of variation is decided by an appropriate curve fitting technique for comprehending a unique empirical relation. The proposed empirical relation is validated by bootstrapping and z-test. Furthermore, hardware validation is done using 1 kW laboratory prototype with Labview interface.

Findings
The analytical study reveals the dependence of lower and upper sideband amplitudes on the number of BRBs, load torque and machine rating. Therefore, fault severity in terms of number of BRBs is accurately calculated using the proposed empirical relation if load torque, machine rating and amplitudes of lower and upper sidebands are known.

Originality/value
The unique empirical relation proposed in the present work provides accurate knowledge of fault severity in terms of the number of BRBs. This facilitates maintenance scheduling which shall reduce effective downtime and improve production.
Steady state and dynamic performance of self-excited induction generator using FACTS controller and teaching learning-based optimization algorithm
Authors: Elkholy Mahmoud M. 
Published: November 2017

Purpose
The paper aims to present an application of teaching learning-based optimization (TLBO) algorithm and static Var compensator (SVC) to improve the steady state and dynamic performance of self-excited induction generators (SEIG).

Design/methodology/approach
The TLBO algorithm is applied to generate the optimal capacitance to maintain rated voltage with different types of prime mover. For a constant speed prime mover, the TLBO algorithm attains the optimal capacitance to have rated load voltage at different loading conditions. In the case of variable speed prime mover, the TLBO methodology is used to obtain the optimal capacitance and prime mover speed to have rated load voltage and frequency. The SVC of fixed capacitor and controlled reactor is used to have a fine tune in capacitance value and control the reactive power. The parameters of SVC are obtained using the TLBO algorithm.

Findings
The whole system of three-phase induction generator and SVC are established under MatLab/Simulink environment. The performance of the SEIG is demonstrated on two different ratings (i.e. 7.5 kW and 1.5 kW) using the TLBO algorithm and SVC. An experimental setup is built-up using a 1.5 kW three-phase induction machine to confirm the theoretical analysis. The TLBO results are matched with other meta heuristic optimization techniques.

Originality/value
The paper presents an application of the meta-heuristic algorithms and SVC to analysis the steady state and dynamic performance of SEIG with optimal performance.
You have to be prepared to drink
Authors: Davies Emma L. , Law Cara , Hennelly Sarah E. 
Published: November 2017

Purpose
Many existing interventions to reduce excessive drinking in university students attempt to target individual cognitions, which ignore the wider contextual features that drive excessive drinking and mark this as an important aspect of university life. The purpose of this paper is to explore students’ views about preventing excessive drinking at university, specifically by using frameworks that take into both account individual and social influences.

Design/methodology/approach
In all, 23 young adults aged 20-30 (12 females; M age=22.91; SD=2.57; 18 students, five recent graduates) took part in semi-structured interviews to explore their views about drinking and measures to reduce excessive consumption. Transcripts were analysed using thematic analysis.

Findings
There were three themes identified in the analysis. These themes were named “the role of alcohol in student life”, drinking transitions’, and “prevention challenges” and each had related sub-themes.

Practical implications
Targeting students before they commence their course and highlighting aspects of university life that do not involve alcohol may help to reduce the pressure often felt to drink in social situations. Providing novel, credible alternative socialising options that do not involve alcohol should be explored to determine their acceptability, and their potential to reduce excessive drinking.

Originality/value
Few studies explore what students themselves think about reducing alcohol consumption and most interventions focus on changing individual cognitions rather than features of the social environment. This study highlights that changing social practices related to drinking in combination with targeting individuals may be more fruitful avenue to reduce excessive alcohol consumption.
Parents’ mobile technology adoption influences on elementary children’s use
Authors: Eutsler Lauren 
Published: November 2017

Purpose
With a high rate of mobile technology ownership in the home, it is unknown how parents’ behavioral intention influences mobile technology adoption and children’s informal use to support reading. The purpose of this paper is to identify 120 parents’ intentions to adopt mobile technology and gather in-depth perceptions about mobile technology adoption with a smaller subset of 13 parents.

Design/methodology/approach
The unified theory of acceptance and use of technology adoption model and the ecological systems theory help explain the interconnections of the child’s home and school on mobile technology intentions and use behavior. A mixed-method explanatory research design obtained behavioral intention scores from a parent survey and individual interviews explained intention scores and depth of perceptions.

Findings
Parents’ behavioral intention scores show, on average, parents agree with using mobile technology to help their child read in the home. Behavioral intention concerns are influenced by children’s individual experience with technology: reluctant users prioritize media-safe education; indifferent users perceive technology as entertainment and desire a balance of text mediums; eager users are influenced socially and recognize interactive and individual affordances when reading with technology.

Research limitations/implications
Knowing that parents’ behavioral intentions vary based on their individual concerns, transparency between parents and teachers about parents’ concerns and children’s mobile technology use in the home can strengthen children’s mobile learning opportunities between home and school.

Originality/value
Data were collected from 46 classrooms between two K-5 elementary schools in the southeastern USA, which offers a unique glimpse into technology adoption behavior in two different communities.
Environmental issues: managing product switching intentions among Indonesian consumers
Authors: Burhanudin Burhanudin , Ferguson David 
Published: November 2017

Purpose
This study aims to explore the factors that make Indonesian consumers differ in their intentions to switch to products that are more eco-friendly than their current products.

Design/methodology/approach
Consumers’ experiences with their current product and evaluation of its more eco-friendly alternative were simulated; the effects on intention to switch to the better product were then investigated.

Findings
This study found that the differences in intentions to switch are attributable to loss aversion and focusing illusion. When consumers follow the principle of loss aversion (exaggeration of greater loss than gain), they are more likely to switch to leave unattractive product (i.e. a product that they perceive as contributing to environmental degradation) than when they do not. Also, when consumers experience focusing illusion concerning the environment (determining happiness based on environmental conditions), they are more likely to switch to make their lives happier than when they do not.

Practical implications
In managing consumer intention to switch, companies should effectively communicate how their products save the environment. This communication could make their customers less likely to give up their current products to live happier lives. Similarly, companies could encourage target customers to switch to their products by arguing that giving up their current products would help them live happier lives.

Originality/value
This study provides empirical evidence that perceived budget constraints may not inhibit consumers from switching to more eco-friendly products to live happier lives.
The role of teachers’ emotional intelligence in enhancing student achievement
Authors: Alam Abdullah , Ahmad Mushtaq 
Published: November 2017

PurposeThis study aims at finding the impact of teachers’ emotional intelligence on student achievement.Design/methodology/approachFor a sample of 224 public school teachers, regression analysis has been conducted to find the impact of emotional intelligence on student achievement through the mediation of teacher commitment and school culture.FindingsThe study results indicate that the relationship between emotional intelligence and student achievement is mediated by school culture.Originality/valuePrevious studies on emotional intelligence and student achievement have focused on emotional intelligence of the principals only. Literature on the impact of teachers’ emotional intelligence on student achievement is scarce. The current study adds to this strand of literature by exploring the impact of teachers’ emotional intelligence in enhancing student achievement.