bluuebunny/crossref_metadata_2025_split huggingface dataset:
For Black men, being tall increases threat stereotyping and police stops
Authors: Hester Neil , Gray Kurt 
Published: February 2018

SignificanceYoung Black men are stereotyped as threatening, which can have grave consequences for interactions with police. We show that these threat stereotypes are even greater for tall Black men, who face greater discrimination from police officers and elicit stronger judgments of threat. We challenge the assumption that height is intrinsically good for men. White men may benefit from height, but Black men may not. More broadly, we demonstrate how demographic factors (e.g., race) can influence how people interpret physical traits (e.g., height). This difference in interpretation is a matter not of magnitude but of meaning: The same trait is positive for some groups of people but negative for others.
The influence of a competition on noncompetitors
Authors: KC Raghabendra P. , Kunter Marcus , Mak Vincent 
Published: February 2018

Significance
Competitions are prevalent in social life, but it is typical in a competition that the competitors are far outnumbered by people who do not participate in it but are aware of it. In a series of experimental studies, we find that the mere awareness of a competition can affect a noncompetitor’s performance in similar tasks. In our field experiment involving pay-what-you-want entrance at a German zoo, customers who were aware of a competition over entrance payments, but did not participate in it, paid more than customers who were unaware of it. Further experiments provide confirmatory evidence for this contagion effect, and suggest that it is due to noncompetitors becoming motivated to act more competitively upon being aware of the competition.
Estimating spatial non-stationary environmental effects on the distribution of species: a case study from American lobster in the Gulf of Maine
Authors: Li Bai , Cao Jie , Guan Lisha , Mazur Mackenzie , Chen Yong , Wahle Richard A 
Published: February 2018

AbstractEstimating spatial distribution of a species is traditionally achieved using global regression models with the assumption of spatial stationarity of relationships between species and environmental variables. However, species abundance and environmental variables are often spatially correlated and the strength of environmental effects may exhibit spatial non-stationarity on the species distribution. We applied local models, such as season-, sex-, and size-specific geographically weighted regression (GWR) models, on American lobster to explore non-stationary environmental effects on the presence and density of lobsters in the inshore Gulf of Maine (GOM). This species and its fishery have undergone a dramatic increase in abundance over the past two decades. Model results showed that the strength of the estimated relationships in the western GOM were different with the relationships in the eastern GOM during 2000–2014. Bottom water temperature had a more significant positive impact on the increase of lobsters in the eastern GOM, while the influence of temperature was less significant in the west and the more distinguishable drivers of distribution needed to be identified. The estimation of locally varied relationships can further improve regionally informed management plans. The modeling approach can be widely applied to many other species or study areas.
Electromagnetic waves propagating in the string axiverse
Authors: Yoshida Daiske , Soda Jiro 
Published: February 2018

Abstract
It is widely believed that axions are ubiquitous in string theory and could be dark matter. The peculiar features of axion dark matter are coherent oscillations and a coupling to the electromagnetic field through the Chern–Simons term. In this letter, we study the consequences of these two features of axions with mass in the range $10^{-13}\,{\rm eV}$ to $10^{3}\,{\rm eV}$. First, we study the parametric resonance of electromagnetic waves induced by the coherent oscillation of the axion. Since the resonance frequency is determined by the mass of the axion dark matter, if we detect this signal, we can get information on the mass of the axion dark matter. Second, we study the velocity of light in the background of the axion dark matter. In the presence of the Chern–Simons term, the dispersion relation is modified and the speed of light will oscillate in time. It turns out that the change in the speed of light would be difficult to observe. We argue that future radio wave observations of the resonance can give rise to a stronger constraint on the coupling constant and/or the density of the axion dark matter.
Confidence as a diagnostic tool for perceptual aftereffects
Authors: Gallagher Regan M. , Suddendorf Thomas , Arnold Derek H. 
Published: February 2018

AbstractPerceptual judgements are, by nature, a product of both sensation and the cognitive processes responsible for interpreting and reporting subjective experiences. Changed perceptual judgements may thus result from changes in how the world appears (perception), or subsequent interpretation (cognition). This ambiguity has led to persistent debates about how to interpret changes in decision-making, and if cognition can change how the world looks, or sounds, or feels. Here we introduce an approach that can help resolve these ambiguities. In three motion-direction experiments, we measured perceptual judgements and subjective confidence. Sensory encoding changes (i.e. the motion-direction aftereffect) impacted each measure equally, as the perceptual evidence informing both responses had changed. However, decision changes dissociated from reports of subjective uncertainty when non-perceptual effects changed decision-making. Our findings show that subjective confidence can provide important information about the cause of aftereffects, and can help inform us about the organisation of the mind.
Interhemispheric Integration for Complex Behaviors, Absent the Corpus Callosum in Normal Ontogeny
Authors: Layden Elliot A. , Schertz Kathryn E. , London Sarah E. , Berman Marc G. 
Published: February 2018

AbstractFunctional homotopy, or synchronous spontaneous activity between symmetric, contralateral brain regions, is a fundamental characteristic of the mammalian brain’s functional architecture(1–6). In mammals, functional homotopy may be predominantly mediated by the corpus callosum (CC), a white matter structure thought to balance the interhemispheric coordination and hemispheric specialization critical for many complex brain functions, including lateralized human language abilities(7, 8). The CC first emerged with the Eutherian (placental) mammals ~160 MYA and is not found in other vertebrates(9, 10). Despite this, other vertebrates also exhibit complex brain functions requiring bilateral integration and lateralization(11). For example, much as humans acquire speech, the zebra finch (Taeniopygia guttata) songbird learns to sing from tutors and must balance hemispheric specialization(12) with interhemispheric coordination to successfully learn and produce song(13). We therefore tested whether the zebra finch brain also exhibits functional homotopy despite lacking the CC. Implementing custom resting-state fMRI (rs-fMRI) functional connectivity (FC) analyses, we demonstrate widespread functional homotopy between pairs of contralateral brain regions required for learned song but which lack direct anatomical projections (i.e., structural connectivity; SC). We believe this is the first demonstration of functional homotopy in a non-Eutherian vertebrate; however, it is unlikely to be the only instance of it. The remarkable congruence between functional homotopy in the zebra finch and Eutherian brains indicates that alternative mechanisms must exist for balanced interhemispheric coordination in the absence of a CC. This insight may have broad implications for understanding complex, bilateral neural processing across phylogeny and how information is integrated between hemispheres.Significance StatementThe mammalian brain exhibits strongly synchronized hemodynamic activity (i.e., functional connectivity) between symmetric, contralateral (i.e., homotopic) brain regions. This pattern is thought to be largely mediated by the corpus callosum (CC), a large white matter tract unique to mammals, which balances interhemispheric coordination and lateralization. Many complex brain functions, including human language, are thought to critically rely upon this balance. Despite lacking the CC, the zebra finch exhibits a song learning process with striking parallels to human speech acquisition, including lateralization and interhemispheric coordination. Using resting-state fMRI, we show that the zebra finch brain exhibits widespread homotopic functional connectivity within a network critical for learned song, suggesting that this symmetrical activity pattern may phylogenetically precede the evolution of the CC.
Seasonal influenza circulation patterns and projections for Feb 2018 to Feb 2019
Authors: Bedford Trevor , Neher Richard A. 
Published: February 2018

AbstractThis report details current seasonal influenza circulation patterns as of Feb 2018 and makes projections up to Feb 2019 to coincide with selection of the 2018-2019 Northern Hemisphere vaccine strain. This is not meant as a comprehensive report, but is instead intended as particular observations that we’ve made that may be of relevance. Please also note that observed patterns reflect the GISAID database and may not be entirely representative of underlying dynamics. All analyses are based on the nextflu pipeline [1] with continual updates posted to nextflu.org.A/H3N2: H3N2 diversity has largely been replaced by subclades A1b, A2 and A3 within 3c2.A. Subclades A1b and A2 predominate in the population and each shows increases in frequency, mutations at epitope sites and evidence for minor changes to antigenic phenotype. Clade A1b may be marginally fitter than clade A2, but we expect both clades to persist into the future without a clear immediate winner.A/H1N1pdm: A clade comprising mutations S74R, S164T and I295V has recently swept to fixation. The rapidity of this sweep suggests a selective origin. However, there is no evidence of antigenic change.B/Vic: Very little B/Vic activity has been observed in recent months. A clade with a two codon deletion at sites HA1:162/163 has gradually risen in frequency. HI measurements suggest an 8 to 16-fold titer drop relative to the vaccine strain, but this antigenic change has not yet resulted in a rapid rise of this variant.B/Yam: Europe experienced a strong and early B/Yam season in absence of amino acid variation in HA or antigenic diversity. However, several mutations in NA have rapidly swept or risen to intermediate frequencies.
Systematic differences between visually-relevant global and local image statistics of brain MRI and natural scenes
Authors: Xu Yueyang , Raj Ashish , Victor Jonathan ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: February 2018

AbstractAn important heuristic in developing image processing technologies is to mimic the computational strategies used by humans. Relevant to this, recent studies have shown that the human brain’s processing strategy is closely matched to the characteristics of natural scenes, both in terms of global and local image statistics. However, structural MRI images and natural scenes have fundamental differences: the former are two-dimensional sections through a volume, the latter are projections. MRI image formation is also radically different from natural image formation, involving acquisition in Fourier space, followed by several filtering and processing steps that all have the potential to alter image statistics. As a consequence, aspects of the human visual system that are finely-tuned to processing natural scenes may not be equally well-suited for MRI images, and identification of the differences between MRI images and natural scenes may lead to improved machine analysis of MRI.With these considerations in mind, we analyzed spectra and local image statistics of MRI images in several databases including T1 and FLAIR sequence types and of simulated MRI images,[1]–[6] and compared this analysis to a parallel analysis of natural images[7] and visual sensitivity[7][8]. We found substantial differences between the statistical features of MRI images and natural images. Power spectra of MRI images had a steeper slope than that of natural images, indicating a lack of scale invariance. Independent of this, local image statistics of MRI and natural images differed: compared to natural images, MRI images had smaller variations in their local two-point statistics and larger variations in their local three-point statistics – to which the human visual system is relatively insensitive. Our findings were consistent across MRI databases and simulated MRI images, suggesting that they result from brain geometry at the scale of MRI resolution, rather than characteristics of specific imaging and reconstruction methods.
Correlating enzyme annotations with a large set of microbial growth temperatures reveals metabolic adaptations to growth at diverse temperatures
Authors: Engqvist Martin KM 
Published: February 2018

AbstractInterpreting genomic data to identify temperature adaptations is challenging due to limited accessibility of growth temperature data. In this work I mine public culture collection websites to obtain growth temperature data for 21,498 organisms. Leveraging this unique dataset I identify 319 enzyme activities that either increase or decrease in abundance with temperature. This is a striking result showing that up to 9% of enzyme activities may represent metabolic changes important for adapting to growth at differing temperatures in microbes. Eight metabolic pathways were statistically enriched for these enzyme activities, further highlighting specific areas of metabolism that may be particularly important for such adaptations. Furthermore, I establish a correlation between 33 domains of unknown function (DUFs) with growth temperature in microbes, four of which (DUF438, DUF1524, DUF1957 and DUF3458_C) were significant in both archaea and bacteria. These DUFs may represent novel, as yet undiscovered, functions relating to temperature adaptation.
On variational solutions for whole brain serial-section histology using the computational anatomy random orbit model
Authors: Lee Brian C. , Tward Daniel J. , Mitra Partha P. , Miller Michael I. 
Published: February 2018

AbstractThis paper presents a variational framework for dense diffeomorphic atlas-mapping onto high-throughput histology stacks at the 20 μm meso-scale. The observed sections are modelled as Gaussian random fields conditioned on a sequence of unknown section by section rigid motions and unknown diffeomorphic transformation of a three-dimensional atlas. To regularize over the high-dimensionality of our parameter space (which is a product space of the rigid motion dimensions and the diffeomorphism dimensions), the histology stacks are modelled as arising from a first order Sobolev space smoothness prior. We show that the joint maximum a-posteriori, penalized-likelihood estimator of our high dimensional parameter space emerges as a joint optimization interleaving rigid motion estimation for histology restacking and large deformation diffeomorphic metric mapping to atlas coordinates. We show that joint optimization in this parameter space solves the classical curvature non-identifiability of the histology stacking problem. The algorithms are demonstrated on a collection of whole-brain histological image stacks from the Mouse Brain Architecture Project.Author SummaryNew developments in neural tracing techniques have motivated the widespread use of histology as a modality for exploring the circuitry of the brain. Automated mapping of pre-labeled atlases onto modern large datasets of histological imagery is a critical step for elucidating the brain’s neural circuitry and shape. This task is challenging as histological sections are imaged independently and the reconstruction of the unsectioned volume is nontrivial. Typically, neuroanatomists use reference volumes of the same subject (e.g. MRI) to guide reconstruction. However, obtaining reference imagery is often non-standard, as in high-throughput animal models like mouse histology. Others have proposed using anatomical atlases as guides, but have not accounted for the intrinsic nonlinear shape difference from atlas to subject. Our method addresses these limitations by jointly optimizing reconstruction informed by an atlas simultaneously with the nonlinear change of coordinates that encapsulates anatomical variation. This accounts for intrinsic shape differences and enables rigorous, direct comparisons of atlas and subject coordinates. Using simulations, we demonstrate that our method recovers the reconstruction parameters more accurately than atlas-free models and innately produces accurate segmentations from simultaneous atlas mapping. We also demonstrate our method on the Mouse Brain Architecture dataset, successfully mapping and reconstructing over 500 brains.
Cross-Platform Mechanical Characterization of Lung Tissue
Authors: Polio Samuel R. , Kundu Aritra N. , Dougan Carey E. , Birch Nathan P. , Aurian-Blajeni D. Ezra , Schiffman Jessica D. , Crosby Alfred J. , Peyton Shelly R. 
Published: February 2018

ABSTRACTPublished data on the mechanical strength and elasticity of lung tissue is widely variable, primarily due to differences in how testing was conducted across individual studies. This makes it extremely difficult to find a benchmark modulus of lung tissue when designing synthetic extracellular matrices (ECMs). To address this issue, we tested tissues from various areas of the lung using multiple characterization techniques, including micro-indentation, small amplitude oscillatory shear (SAOS), uniaxial tension, and cavitation rheology. We report the sample preparation required and data obtainable across these unique but complimentary methods to quantify the modulus of lung tissue. We highlight cavitation rheology as a new method, which can measure the modulus of intact tissue with precise spatial control, and reports a modulus on the length scale of typical tissue heterogeneities. Shear rheology, uniaxial, and indentation testing require heavy sample manipulation and destruction; however, cavitation rheology can be performed in situ across nearly all areas of the lung with minimal preparation. The Young’s modulus of bulk lung tissue using microindentation (1.9±0.5 kPa), SAOS (3.2±0.6 kPa), uniaxial testing (3.4±0.4 kPa), and cavitation rheology (6.1±1.6 kPa) were within the same order of magnitude, with higher values consistently reported from cavitation, likely due to our ability to keep the tissue intact. Although cavitation rheology does not capture the non-linear strains revealed by uniaxial testing and SAOS, it provides an opportunity to measure mechanical characteristics of lung tissue on a microscale level on intact tissues. Overall, our study demonstrates that each technique has independent benefits, and each technique revealed unique mechanical features of lung tissue that can contribute to a deeper understanding of lung tissue mechanics.
Consumer preferences for Cerrado fruit preserves: a study using conjoint analysis
Authors: Rodrigues Daniela Maria , Rodrigues Jéssica Ferreira , Souza Vanessa Rios de , Carneiro João de Deus Souza , Borges Soraia Vilela 
Published: February 2018

Purpose
One way to increase the availability and to add more value to exotic Brazilian fruits is to develop new products. However, prior to product development, there is a need to know consumer’s preferences and target audience. The purpose of this paper is to investigate the influence of different characteristics of Cerrado fruit preserves on the intention to purchase using conjoint analysis.

Design/methodology/approach
Conjoint analysis evaluated three factors with three levels each, defined by focus group technique. The attributes and levels evaluated were: flavor (marolo, marolo and soursoup, marolo, soursoup and sweet passion fruit), nutritional information (light, diet and absent) and health claims (aids reduction of cardiovascular disease risk; aids reduction of blood cholesterol; aids activation and regulation of the gastrointestinal system).

Findings
The results of conjoint analysis led to three consumers’ groups. Group 1 (majority) were more influenced by flavor (IR=26.5 percent) and nutritional information (IR=59.3 percent). Groups 2 and 3 were greatly influenced by flavor and nutritional information, respectively. Health claims influenced weakly on the intention to purchase regardless the groups. Thus, the concept of Cerrado fruit preserves for each group was different.

Originality/value
This research contributes to future studies, supporting the development of products based on Cerrado fruits and the variety of products on the market. There are few research works using conjoint analysis to evaluate consumer preferences in the early stages of new product development, which makes this paper even more relevant.
A framework for incorporating implementation indicators of corporate governance for municipalities in South Africa
Authors: Masegare Peter , Ngoepe Mpho 
Published: February 2018

Purpose
This paper aims to develop a framework for incorporating implementation indicators of corporate governance for municipalities in South Africa. In South Africa, there is a corporate governance framework (King III report) that is regarded as a seminal work applicable to both the public and private sectors. Despite its existence, municipalities still struggle to provide services to the citizens due to poor implementation. The poor corporate governance implementation in municipalities led to several issues such as loss of credibility for local government, little interests from investors to invest in municipalities, service delivery protests from communities, maladministration and unexpected change of leadership in municipalities without succession planning in South Africa.

Design/methodology/approach
The study conducted literature review to demonstrate the need for a framework to implement corporate governance in South Africa.

Findings
It is evident from the study that the municipal sector could improve its performance and practices of corporate governance, if the underpinning framework is adopted and implemented as a sector framework. The integration of governance elements during the development of the municipal sector integrated development plan (IDP) will facilitate a coherent base for good governance implementation practices.

Research limitations/implications
This research would go a long way in bringing out the anomalies that paralyse municipalities, the root causes of inefficiency and possible ways to rectify them.

Practical implications
This study offers a framework that can help the local government sector to improve on service delivery. Implementation of the framework can also assist municipalities in obtaining clean audits from the supreme audit institutions in their respective countries.

Social implications
The study has a huge social impact as it would help municipal officials take notice of the issues raised and act accordingly thus improving the life of citizenry.

Originality/value
This study adds value to the existing theoretical and conceptual issues that form the ongoing discourse on the implementation of corporate governance in local government, especially in South Africa, as the country is characteristic by corruption and maladministration.