bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanisms of erosion of atherosclerotic plaques
Authors: Quillard Thibaut , Franck Grégory , Mawson Thomas , Folco Eduardo , Libby Peter 
Published: July 2017

Purpose of review
The present review explores the mechanisms of superficial intimal erosion, a common cause of thrombotic complications of atherosclerosis.

Recent findings
Human coronary artery atheroma that give rise to thrombosis because of erosion differ diametrically from those associated with fibrous cap rupture. Eroded lesions characteristically contain few inflammatory cells, abundant extracellular matrix, and neutrophil extracellular traps (NETs). Innate immune mechanisms such as engagement of Toll-like receptor 2 (TLR2) on cultured endothelial cells can impair their viability, attachment, and ability to recover a wound. Hyaluronan fragments may serve as endogenous TLR2 ligands. Mouse experiments demonstrate that flow disturbance in arteries with neointimas tailored to resemble features of human eroded plaques disturbs endothelial cell barrier function, impairs endothelial cell viability, recruits neutrophils, and provokes endothelial cells desquamation, NET formation, and thrombosis in a TLR2-dependent manner.

Summary
Mechanisms of erosion have received much less attention than those that provoke plaque rupture. Intensive statin treatment changes the characteristic of plaques that render them less susceptible to rupture. Thus, erosion may contribute importantly to the current residual burden of risk. Understanding the mechanisms of erosion may inform the development and deployment of novel therapies to combat the remaining atherothrombotic risk in the statin era.
Posttransplant Outcomes of Kidneys Donated After Brain Death Followed by Circulatory Death: A Cohort Study of 128 Chinese Patients
Authors: Na Ning , Li Ke , Huang Zhengyu , Miao Bin , Hu Cheng , Li Heng , Wang Dejuan , Qiu Jianguang 
Published: July 2017

Background
Donation after brain death followed by circulatory death (DBCD) is a new class in the unique Chinese donor classification system. Currently, in China, the organ transplantation of DBCD is rising. However, there is a dearth of research on the characteristics and outcomes of DBCD kidney transplantation.

Method
We collected 128 DBCD renal transplant patients who underwent surgery between June 2013 and May 2016 at our center to analyze clinical outcomes and to share our experience to enhance perioperative management in DBCD kidney transplantation.

Results
At the end of follow-up, no patients experienced primary nonfunction, but delayed graft function occurred in 25.8%. One- and 3-year graft survivals were 97.7% and 94.5%, respectively. The average length of stay was 20.88 ± 14.6 days, the incidence of posttransplant complications was 46.1% (59 patients), and 31 patients suffered more than 1 complication. In addition, the average length of stay of patients without complications and with at least 1 complication was 13.07 ± 2.01 days and 30.02 ± 17.4 days, respectively. There was a significantly higher incidence of complications associated with the postoperative hospital stay in DBCD patients.

Conclusions
Patients who received a DBCD kidney demonstrated a good outcome in terms of both graft survival and graft function. Hence, DBCD is suitable for national reality and conditions and offers a feasible option for deceased-donor kidney transplantation in China. To prevent complications and reduce the duration of hospital stay, we should strengthen preoperative and postoperative management.
Hearing Safety From Single- and Double-Pulse Transcranial Magnetic Stimulation in Children and Young Adults
Authors: Kukke Sahana N. , Brewer Carmen C. , Zalewski Christopher , King Kelly A. , Damiano Diane , Alter Katharine E. , Hallett Mark 
Published: July 2017

Purpose:
Concerns regarding hearing safety have limited the number of studies using transcranial magnetic stimulation (TMS) in children and young adults. The objective of this study was to examine the safety of TMS with regards to hearing in a group of 16 children and young adults (17.3 ± 4.9 years) with and without brain injury.

Methods:
Pure-tone hearing thresholds and distortion-product otoacoustic emissions were measured before and after exposure to single- and paired-pulse TMS (1–2 sessions of 149–446 TMS pulses at a median of 49%–100% maximum stimulator output over a 2.2 hours period).

Results:
No mean change in hearing outcomes was noted. In addition, no clinically significant change in hearing threshold was observed in any participant, and participants did not experience a subjective change in hearing after TMS exposure.

Conclusions:
Single- and double-pulse TMS administered within the parameters used in this study, which included hearing protection, can be used in children and young adults without impacting hearing. This study provides further evidence for hearing safety after TMS exposure in children and young adults.
Invasive Investigation of Insular Cortex Epilepsy
Authors: Ryvlin Philippe , Picard Fabienne 
Published: July 2017

Summary:
Invasive long-term EEG investigations of the insula have been performed since the mid-nineties in an expanding range of focal epilepsies suspected to involve the insular cortex. The various clinical forms of insular epilepsies were delineated during the last 2 decades, and include the following presentations: perisylvian epilepsy, temporal plus epilepsy, sleep hypermotor epilepsy, MRI-negative frontal and parietal lobe epilepsies, and insular lesions. In fact, a majority of complex stereoelectroencephalography procedures will include at least one electrode targeting the insula. Stereoelectroencephalography is currently the preferred method to investigate the insula, using orthogonal, oblique, or a combination of both trajectories, with no evidence of higher risk of intracranial bleeding than in other brain regions. Orthogonal trajectories allow to sample the overlaying opercula, while oblique trajectories offer a better sampling of the insular cortex. Intrainsular ictal EEG pattern are often characterized by a prolonged focal discharge restricted to one of the five insular gyri, militating for a dense enough sampling of the insular cortex in suspected insular epilepsies. Stereoelectroencephalography offers the potential to perform thermolesion of insular epileptogenic zones which, together with MRI-guided laser ablation, represent a possibly safer alternative treatment to open-skull surgical resection of the insula.
Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations
Authors: Pustina Dorian , Avants Brian , Faseyitan Olufunsho , Medaglia John , Coslett H. Branch 
Published: July 2017

ABSTRACTLesion to symptom mapping (LSM) is a crucial tool for understanding the causality of brain-behavior relationships. The analyses are typically performed by applying statistical methods on individual brain voxels (VLSM), a method called the mass-univariate approach. Several authors have shown that VLSM suffers from limitations that may decrease the accuracy and reliability of the findings, and have proposed the use of multivariate methods to overcome these limitations. In this study, we propose a multivariate optimization technique known as sparse canonical correlation analysis for neuroimaging (SCCAN) for lesion to symptom mapping. To validate the method and compare it with mass-univariate results, we used data from 131 patients with chronic stroke lesions in the territory of the middle cerebral artery, and created synthetic behavioral scores based on the lesion load of 93 brain regions (putative functional units). LSM analyses were performed with univariate VLSM or SCCAN, and the accuracy of the two methods was compared in terms of both overlap and and displacement from the simulated functional areas. Overall, SCCAN produced more accurate results - higher dice overlap and smaller average displacement - compared to VLSM. This advantage persisted at different sample sizes (N=20-131) and different multiple comparison corrections (false discovery rate, FDR; Bonferroni; permutation-based family wise error rate, FWER). These findings were replicated with a fully automated SCCAN routine that relied on cross-validated predictive accuracy to find the optimal sparseness value. Simulations of one, two, and three brain regions showed a systematic advantage of SCCAN over VLSM; under no circumstance could VLSM exceed the accuracy obtained with SCCAN. When considering functional units composed of multiple brain areas VLSM identified fewer areas than SCCAN. The investigation of real scores of aphasia severity (aphasia quotient and picture naming) showed that SCCAN could accurately identify known language-critical areas, while VLSM either produced diffuse maps (FDR correction) or few scattered voxels (FWER correction). Overall, this study shows that a multivariate method, such as, SCCAN, outperforms VLSM in a number of scenarios, including functional dependency on single or multiple areas, different sample sizes, different multi-area combinations, and different thresholding mechanisms (FWER, Bonferroni, FDR). These results support previous claims that multivariate methods are in general more accurate than mass-univariate approaches, and should be preferred over traditional VLSM approaches. All the methods described in this study are available in the newly developed LESYMAP package for R.
Despite egg-adaptive mutations, the 2012-13 H3N2 influenza vaccine induced comparable antibody titers to the intended strain
Authors: Cobey Sarah , Parkhouse Kaela , Chambers Benjamin S. , Ertl Hildegund C. , Schmader Kenneth E. , Halpin Rebecca A. , Lin Xudong , Stockwell Timothy B. , Das Suman R. , Landon Emily , Tesic Vera , Youngster Ilan , Pinsky Benjamin , Wentworth David E. , Hensley Scott E. , Grad Yonatan H. 
Published: July 2017

AbstractBackgroundInfluenza vaccination aims to prevent infection by influenza virus and reduce associated morbidity and mortality; however, vaccine effectiveness (VE) can be modest, especially for subtype A/H3N2. Failure to achieve consistently high VE has been attributed both to mismatches between the vaccine and circulating influenza strains and to the vaccine's elicitation of protective immunity in only a subset of the population. The low H3N2 VE in 2012-13 was attributed to egg-adaptive mutations that created antigenic mismatch between the intended (A/Victoria/361/2011) and actual vaccine strain (IVR-165).MethodsWe investigate the basis of the low VE in 2012-2013 by evaluating whether vaccinated and unvaccinated individuals were infected by different viral strains and assessing the serologic responses to A/Victoria/361/2011 and the IVR-165 vaccine strain in an adult cohort before and after vaccination.ResultsWe found no significant genetic differences between the strains that infected vaccinated and unvaccinated individuals. Vaccination increased titers to A/Victoria/361/2011 as much as to IVR-165. These results are consistent with the hypothesis that vaccination served merely to boost preexisting cross-reactive immune responses, which provided limited protection against infection with the circulating influenza strains.ConclusionsIn contrast to suggestive analyses based on ferret antisera, low H3N2 VE in 2012-13 does not appear to be due to the failure of the egg-adapted strain to induce a response to the intended vaccine strain. Instead, low VE might have been caused by the emergence of anti-genically novel influenza strains and low vaccine immunogenicity in a subset of the population.
Data-driven subtyping of executive function related behavioural problems in children
Authors: Bathelt Joe , Holmes Joni ,   the CALM team, Astle Duncan E. 
Published: July 2017

AbstractIntroductionMany developmental disorders are associated with deficits in controlling and regulating behaviour. These difficulties are frequently observed across multiple groups of children including children with diagnoses of attention deficit hyperactivity disorder (ADHD), specific learning difficulties, autistic spectrum disorder, or conduct disorder. The co-occurrence of these behavioural problems across disorders typically leads to comorbid diagnoses and can complicate intervention approaches. An alternative to classifying children on the basis of specific diagnostic criteria is to use a data-driven grouping that identifies dimensions of behaviour that meaningfully distinguish groups of children.MethodsThe sample consisted of 442 children identified by health and educational professionals as having difficulties in attention, learning and/or memory. The current study applied community clustering, a data-driven clustering algorithm, to group children by similarities across scales on a commonly used rating scale, the Conners-3 questionnaire. Further, the current study investigated if the groups identified by the data-driven algorithm could be identified by white matter connectivity using a structural connectomics approach combined with partial least squares analysis.ResultsThe data-driven clustering yielded three distinct groups of children with symptoms of either: (1) elevated inattention and hyperactivity/impulsivity, and poor executive function, (2) learning problems, and (3) aggressive behaviour and problems with peer relationships. These groups were associated with significant inter-individual variation in white matter connectivity of the prefrontal and anterior cingulate cortex.ConclusionIn sum, data-driven classification of executive function difficulties identifies stable groups of children, provides a good account of inter-individual differences, and aligns closely with underlying neurobiological substrates.
Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption
Authors: Bowden Jack , Greco M Fabiola Del , Minelli Cosetta , Zhao Qingyuan , Lawlor Debbie A , Sheehan Nuala A , Thompson John , Smith George Davey 
Published: July 2017

AbstractBackgroundTwo-sample summary data Mendelian randomization (MR) incorporating multiple genetic variants within a meta-analysis framework is a popular technique for assessing causality in epidemiology. If all genetic variants satisfy the instrumental variable (IV) and necessary modelling assumptions, then their individual ratio estimates of causal effect should be homogeneous. Observed heterogeneity signals that one or more of these assumptions could have been violated.MethodsCausal estimation and heterogeneity assessment in MR requires an approximation for the variance, or equivalently the inverse-variance weight, of each ratio estimate. We show that the most popular ‘1st order’ weights can lead to an inflation in the chances of detecting heterogeneity when in fact it is not present. Conversely, ostensibly more accurate ‘2nd order’ weights can dramatically increase the chances of failing to detect heterogeneity, when it is truly present. We derive modified weights to mitigate both of these adverse effects.ResultsUsing Monte Carlo simulations, we show that the modified weights outperform 1st and 2nd order weights in terms of heterogeneity quantification. Modified weights are also shown to remove the phenomenon of regression dilution bias in MR estimates obtained from weak instruments, unlike those obtained using 1st and 2nd order weights. However, with small numbers of weak instruments, this comes at the cost of a reduction in estimate precision and power to detect a causal effect compared to 1st order weighting. Moreover, 1st order weights always furnish unbiased estimates and preserve the type I error rate under the causal null. We illustrate the utility of the new method using data from a recent two-sample summary data MR analysis to assess the causal role of systolic blood pressure on coronary heart disease risk.ConclusionsWe propose the use of modified weights within two-sample summary data MR studies for accurately quantifying heterogeneity and detecting outliers in the presence of weak instruments. Modified weights also have an important role to play in terms of causal estimation (in tandem with 1st order weights) but further research is required to understand their strengths and weaknesses in specific settings.
Mind-wandering in people with hippocampal damage
Authors: McCormick Cornelia , Rosenthal Clive R. , Miller Thomas D. , Maguire Eleanor A. 
Published: July 2017

AbstractSubjective inner experiences, such as mind-wandering, represent the fundaments of human cognition. Although the precise function of mind-wandering is still debated, it is increasingly acknowledged to have influence across cognition on processes such as future planning, creative thinking and problem-solving, and even on depressive rumination and other mental health disorders. Recently, there has been important progress in characterizing mind-wandering and identifying the associated neural networks. Two prominent features of mind-wandering are mental time travel and visuo-spatial imagery, which are often linked with the hippocampus. People with selective bilateral hippocampal damage cannot vividly recall events from their past, envision their future or imagine fictitious scenes. This raises the question of whether the hippocampus plays a causal role in mind-wandering and if so, in what way. Leveraging a unique opportunity to shadow people (all males) with bilateral hippocampal damage for several days, we examined, for the first time, what they thought about spontaneously, without direct task demands. We found that they engaged in as much mind-wandering as control participants. However, whereas controls thought about the past, present and future, imagining vivid visual scenes, hippocampal damage resulted in thoughts primarily about the present comprising verbally-mediated semantic knowledge. These findings expose the hippocampus as a key pillar in the neural architecture of mind-wandering and also reveal its impact beyond memory, placing it at the heart of human mental life.Significance statementHumans tend to mind-wander about 30-50% of their waking time. Two prominent features of this pervasive form of thought are mental time travel and visuo-spatial imagery, which are often associated with the hippocampus. To examine whether the hippocampus plays a causal role in mind-wandering, we examined the frequency and phenomenology of mind-wandering in patients with selective bilateral hippocampal damage. We found that they engaged in as much mind-wandering as controls. However, hippocampal damage changed the form and content of mind-wandering from flexible, episodic, and scene-based to abstract, semanticized, and verbal. These findings expose the hippocampus as a key pillar in the neural architecture of mind-wandering and reveal its impact beyond memory, placing it at the heart of our mental life.
Dynamics of venom composition across a complex life cycle
Authors: Columbus-Shenkar Yaara Y. , Sachkova Maria Y. , Fridrich Arie , Modepalli Vengamanaidu , Sunagar Kartik , Moran Yehu 
Published: July 2017

AbstractLittle is known about venom in young developmental stages of animals. The appearance of stinging cells in very early life stages of the sea anemoneNematostella vectensissuggests that toxins and venom are synthesized already in eggs, embryos and larvae of this species. Here we harness transcriptomic and biochemical tools as well as transgenesis to study venom production dynamics inNematostella. We find that the venom composition and arsenal of toxin-producing cells change dramatically between developmental stages of this species. These findings might be explained by the vastly different ecology of the larva and adult polyp as sea anemones develop from a miniature non-feeding mobile planula to a much larger sessile polyp that predates on other animals. Further, the results suggest a much wider and dynamic venom landscape than initially appreciated in animals with a complex life cycle.
A new algorithm based on modified trigonometric cubic B-splines functions for nonlinear Burgers’-type equations
Authors: Jiwari Ram , Alshomrani Ali Saleh 
Published: July 2017

Purpose
The main aim of the paper is to develop a new B-splines collocation algorithm based on modified cubic trigonometric B-spline functions to find approximate solutions of nonlinear parabolic Burgers’-type equations with Dirichlet boundary conditions.

Design/methodology/approach
A modification is made in cubic trigonometric B-spline functions to handle the Dirichlet boundary conditions and an algorithm is developed with the help of modified cubic trigonometric B-spline functions. The proposed algorithm reduced the Burgers’ equations into a system of first-order nonlinear ordinary differential equations in time variable. Then, strong stability preserving Runge-Kutta 3rd order (SSP-RK3) scheme is used to solve the obtained system.

Findings
A different technique based on modified cubic trigonometric B-spline functions is proposed which is quite different from to the schemes developed in Abbas et al. (2014) and Nazir et al. (2016), and the developed algorithms are free from linearization process and finite difference operators.

Originality/value
To the best knowledge of the authors, this technique is novel for solving nonlinear partial differential equations, and the new proposed technique gives better results than the results discussed in Ozis et al. (2003), Kutluay et al. (1999), Khater et al. (2008), Korkmaz and Dag (2011), Kutluay et al. (2004), Rashidi et al. (2009), Mittal and Jain (2012), Mittal and Jiwari (2012), Mittal and Tripathi (2014), Xie et al. (2008) and Kadalbajoo et al. (2005).
Analysis of pore scale fluid migration in a porous medium- application to coal rock seam
Authors: Youjun Ji , Vafai K. 
Published: July 2017

Purpose
The purpose of this study is to digitize the porous structure and reconstruct the geometry of the rock by using the image processing software photoshop (PS) and ant colony algorithm coded with compiler Fortran PowerStation (fps) 4.0 based on the microscopic image of a typical rock mass.

Design/methodology/approach
The digital model of the microstructure of the porous coal rock was obtained, and imported into the numerical simulation software to build the finite element model of microstructure of the porous coal rock. Creeping flow equations were used to describe the fluid flow in the porous rock.

Findings
The simulation results indicate that the method utilized for reconstructing the microstructure of the porous coal rock proposed in this work is effective. The results demonstrate that the transport of fluid in a porous medium is significantly influenced by the geometric structure of the pore and that the heterogeneous porous structure would result in an irregular flow of the fluid.

Research limitations/implications
The authors did not experience a limitation.

Practical implications
The existence of the pores with dead ends would hinder the fluid to flow through the coal rock and reduce the efficiency of extracting fluid from the porous coal rock. It is also shown that the fluid first enters the large pores and subsequently into the small pore spaces.

Social implications
The paper provides important and useful results for several industries.

Originality value
Image processing technology has been utilized to incorporate the micro image of the porous coal rock mass, based on the characteristics of pixels of the micro image. The ant colony algorithm was used to map out the boundary of the rock matrix and the pore space. A FORTRAN code was prepared to read the micro image, to transform the bmp image into a binary format, which contains only two values. The digital image was obtained after analyzing the image features. The geometric structure of the coal rock pore was then constructed. The flow process for the micro fluid in the pore structure was illustrated and the physical process of the pore scale fluid migration in the porous coal seam was analyzed.