bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aged hind-limb clasping experimental autoimmune encephalomyelitis models aspects of the neurodegenerative process seen in multiple sclerosis
Authors: Cahill Lindsay S. , Zhang Monan Angela , Ramaglia Valeria , Whetstone Heather , Sabbagh Melika Pahlevan , Yi Tae Joon , Woo Laura , Przybycien Thomas S. , Moshkova Marina , Zhao Fei Linda , Rojas Olga L. , Gomes Josephine , Kuerten Stefanie , Gommerman Jennifer L. , Sled John G. , Dunn Shannon E. 
Published: October 2019

Significance
EAE typically presents with hind-limb paralysis and is associated with severe T cell-mediated inflammation and axon injury throughout the spinal cord and parts of the brain. Because axon loss is so rapid in this model, it is difficult to intervene for the purpose of evaluating neuroprotective therapies. Here we describe a mild form of EAE that does not even meet the threshold for scoring on traditional EAE scales, yet with age results in devastating neurodegenerative changes in the spinal cord, including grey matter atrophy, neuron loss, and synapse degradation. These observations underscore the utility of T cell receptor transgenic mice to study the effect of natural aging on CNS autoimmunity and neurodegeneration.
English language assistants in the 21st century
Authors: Codó Eva , McDaid Jessica 
Published: October 2019

AbstractAlthough the figure of the English language assistant (ELA) dates back a long while, its current popularity is unprecedented in some areas of the world. Such is the case of Spain, where the goal of raising English standards among the younger generations has become a national obsession. Using critical ethnographic methods, this paper examines the experience of three British LAs placed in secondary schools in Barcelona. It draws on a focused case study of one of them – combined with ethnographic snapshots of the other two, interviews with school teachers and regional programme administrators, relevant programme publications, and social media data. The analysis reveals three major tensions shaping the ELA experience in the 21st century revolving around: (a) the underspecified and unskilled nature of the job; (b) its culturalist imagination and state diplomacy mission; and (c) the native speaker ideology constituting itsraison d’être. This paper provides new insights into the intertwining of the ELT infrastructure with global travel and tourism capitalised as skill boosters for employability purposes, and showcases the importance of foreign language education as a soft power tool.
Brain–heart interactions considering complex physiological data: processing schemes for time-variant, frequency-dependent, topographical and statistical examination of directed interactions by convergent cross mapping
Authors: Schiecke Karin , Schumann Andy , Benninger Franz , Feucht Martha , Baer Karl-Juergen , Schlattmann Peter 
Published: October 2019

Abstract

Background: A multitude of complex methods is available to quantify interactions in highly complex physiological systems. Brain–heart interactions play an important role in identifying couplings between the central nervous system and the autonomic nervous system during defined physiological states or specific diseases. The crucial point of those interaction analyses is adequate pre-processing taking into account nonlinearity of data, intuitive graphical representation and suitable statistical evaluation of the achieved results. Objective: The aim of this study is to provide generalized processing schemes for such investigations taking into account pre-processing, graphical representation and statistical analysis. Approach: Two defined data sets were used to develop these processing schemes. Brain–heart interactions in children with temporal lobe epilepsy during the pre-ictal, ictal and post-ictal periods as well as in patients with paranoid schizophrenia and healthy control subjects during the resting state period were investigated by nonlinear convergent cross mapping (CCM). Surrogate data, bootstrapping and linear mixed-effects model approaches were utilized for statistical analyses. Main results: CCM was able to reveal specific and statistically significant time- and frequency-dependent patterns of brain–heart interactions for children with temporal lobe epilepsy and provide a statistically significant pattern of topographic- and frequency-dependent brain–heart interactions for schizophrenic patients, as well as to show the differences from healthy control subjects. Suitable statistical models were found to quantify group differences. Significance: Generalized processing schemes and crucial points of pre-processing, adapted interaction analysis and performed statistical analysis are provided. The general concept of analyses is transferable also to other methods of interactions analysis and data representing even more complex physiological systems.
Incompatibility robustness of quantum measurements: a unified framework
Authors: Designolle Sébastien , Farkas Máté , Kaniewski Jędrzej 
Published: October 2019

Abstract
In quantum mechanics performing a measurement is an invasive process which generally disturbs the system. Due to this phenomenon, there exist incompatible quantum measurements, i.e. measurements that cannot be simultaneously performed on a single copy of the system. It is then natural to ask what the most incompatible quantum measurements are. To answer this question, several measures have been proposed to quantify how incompatible a set of measurements is, however their properties are not well-understood. In this work, we develop a general framework that encompasses all the commonly used measures of incompatibility based on robustness to noise. Moreover, we propose several conditions that a measure of incompatibility should satisfy, and investigate whether the existing measures comply with them. We find that some of the widely used measures do not fulfil these basic requirements. We also show that when looking for the most incompatible pairs of measurements, we obtain different answers depending on the exact measure. For one of the measures, we analytically prove that projective measurements onto two mutually unbiased bases are among the most incompatible pairs in every dimension. However, for some of the remaining measures we find that some peculiar measurements turn out to be even more incompatible.
Electromigration-induced resistance switching in indented Al microstrips
Authors: Lombardo J , Collienne S , Petrillo A , Fourneau E , Nguyen N D , Silhanek A V 
Published: October 2019

Abstract
Non-volatile resistive memory cells are promising candidates to tremendously impact the further development of Boolean and neuromorphic computing. In particular, nanoscale memory-bit cells based on electromigration (EM)-induced resistive switching in monolithic metallic structures have been identified as an appealing and competitive alternative to achieve ultrahigh density while keeping straightforward manufacturing processes. In this work, we investigate the EM-induced resistance switching in indented Al microstrips. In order to guarantee a large switching endurance, we limited the on-to-off ratio to a minimum readable value. Two switching protocols were tested, (i) a variable current pulse amplitude adjusted to ensure a precise change of resistance, and (ii) a fixed current pulse amplitude. Both approaches exhibit an initial training period where the mean value of the device’s resistance drifts in time, followed by a more stable behavior. Electron microscopy imaging of the devices show irreversible changes of the material properties from the early stages of the switching process. High and low resistance states show retention times of days and endurances of ∼103 switching cycles.
Increasing interannual variability of global vegetation greenness
Authors: Chen Chen , He Bin , Yuan Wenping , Guo Lanlan , Zhang Yafeng 
Published: October 2019

Abstract
Despite the long-term greening trend in global vegetation identified in previous investigations, changes in the interannual variability (IAV) of vegetation greenness over time is still poorly understood. Using Global Inventory Modeling and Mapping Studies normalized difference vegetation index (NDVI) third generation data and corresponding meteorological data from 1982 to 2015, we studied the changes and drivers of the IAV of vegetation greenness as indicated by the coefficient of variation of vegetation greenness at a global scale. Dry and high-latitude areas exhibited high NDVI variability whereas humid areas exhibited relatively low NDVI variability. We detected an increase in the global IAV of vegetation greenness over time using a 15 year moving window. Spatially, we observed significant increases in the IAV of vegetation greenness in greater than 45% of vegetated areas globally and decreases in 21%. Our comparison of ecological models suggests good performance in terms of simulating spatial differences in vegetation variability, but relatively poor performance in terms of capturing changes in the IAV of vegetation greenness. Furthermore, the dominant climate variables controlling changes in the IAV of vegetation greenness were determined spatially using principal component regression and partial least squares regression. The two methods yielded similar patterns, revealing that temperature exerted the biggest influence on changes in the IAV of vegetation greenness, followed by solar radiation and precipitation. This study provides insights into global vegetation variability which should contribute to an understanding of vegetation dynamics in the context of climate change.
Potential impact of climate change on solar resource in Africa for photovoltaic energy: analyses from CORDEX-AFRICA climate experiments
Authors: Bichet Adeline , Hingray Benoit , Evin Guillaume , Diedhiou Arona , Kebe Cheikh Mouhamed Fadel , Anquetin Sandrine 
Published: October 2019

Abstract
The development of renewable electricity in Africa could be massive in coming decades, as a response to the rapid rising electricity demand while complying with the Paris Agreements. This study shows that in the high-resolution climate experiments of CORDEX-AFRICA, the annual mean solar potential is expected to decrease on average by 4% over most of the continent by the end of the century, reaching up to 6% over the Horn of Africa, as a direct result of decrease in solar radiation and increase in air surface temperature. These projections are associated with large uncertainties, in particular over the Sahel and the elevated terrains of eastern Africa. While the expected decrease may affect the sizing of the numerous solar projects planned in Africa for the next decades, this study suggests that it does not endanger their viability. At last, this study indicates that the design of such projects also needs to account for the non-negligible uncertainties associated with the resource.
Feasibility of imaging amyloid in the brain using small-angle x-ray scattering
Authors: Choi Mina , Dahal Eshan , Badano Aldo 
Published: October 2019

Abstract
Small-angle x-ray scattering (SAXS) imaging may have the potential to image β-amyloid plaques in vivo in the brain without tracers for assessment of Alzheimer’s disease (AD). We use a laboratory SAXS system for planar imaging of AD model and control mouse brains slices to detect regions with high density of amyloid plaques. These regions were validated with histology methods. Using Monte Carlo techniques, we simulate SAXS computed tomography (SAXS-CT) system to study the potential of selectively differentiating amyloid targets in mouse and human head phantoms with detailed anatomy. We found contrast between amyloid and brain tissue at small q (below 0.8 nm−1) in the neocortex region of the transgenic brain slices as supported by histology. We observed similar behavior through planar SAXS imaging of an amyloid-like fibril deposit with a 0.8 mm diameter at a known location on a wild type mouse brain. In our SAXS-CT simulations, we found that 33-keV x rays provide increase plaque visibility in the mouse head for targets of at least 0.1 mm in diameter, while in the human head, 70-keV x rays were capable of detecting plaques as small as 2 mm. To increase radiation efficiency, we used a weighted-sum image visualization approach allowing the dose deposited by 70-keV x rays per SAXS-CT slice of the human head to be reduced by a factor of 10 to 71 mGy for gray matter and 63 mGy for white matter. The findings suggest that a dedicated SAXS-CT system for in vivo amyloid imaging in small animals and humans can be successfully developed with further system optimization to detect regions with amyloid plaques in the brain with a safe level of radiation dose.
Induced drag in two dimensions in ideal fluids
Authors: Meyer R W , Erland S 
Published: October 2019

Abstract
In this paper we suggest a model for how a significant part of the drag forces on two-dimensional objects can be derived using the circulation that is naturally maintained around the objects. We assume incompressible and inviscid potential flow and that the circulation is already generated. The resulting velocity field complements the one that is known to generate Prandtl’s induced drag in three dimensions. We demonstrate how fluid particles in a velocity field are attracted towards an object, and that this, due to conservation of momentum, results not only in lift, but also in drag forces. The magnitude of a disturbance velocity can be derived from the circulation of bound and shed vortices accompanying the object and parameters taken from the von Kármán vortex street description. Another part of the drag is generated by vortices that emerge behind blunt bodies when fluid particles do not follow the surface of the objects. We obtain a mathematical description of the resistance of several types of blunt bodies and rotating cylinders. The model involves no parameters that are derived from empirical data. Still, this inviscid approach corresponds well with experimental data in viscous flow and is close to a mathematical empirical description of rotating cylinders by W. G. Bickley.
Deep annotation of untargeted LC-MS metabolomics data with Binner
Authors: Kachman Maureen , Habra Hani , Duren William , Wigginton Janis , Sajjakulnukit Peter , Michailidis George , Burant Charles , Karnovsky Alla 
Published: October 2019

Abstract

Motivation
When metabolites are analyzed by electrospray ionization (ESI)-mass spectrometry, they are usually detected as multiple ion species due to the presence of isotopes, adducts and in-source fragments. The signals generated by these degenerate features (along with contaminants and other chemical noise) obscure meaningful patterns in MS data, complicating both compound identification and downstream statistical analysis. To address this problem, we developed Binner, a new tool for the discovery and elimination of many degenerate feature signals typically present in untargeted ESI-LC-MS metabolomics data.

Results
Binner generates feature annotations and provides tools to help users visualize informative feature relationships that can further elucidate the underlying structure of the data. To demonstrate the utility of Binner and to evaluate its performance, we analyzed data from reversed phase LC-MS and hydrophilic interaction chromatography (HILIC) platforms and demonstrated the accuracy of selected annotations using MS/MS. When we compared Binner annotations of 75 compounds previously identified in human plasma samples with annotations generated by three similar tools, we found that Binner achieves superior performance in the number and accuracy of annotations while simultaneously minimizing the number of incorrectly annotated principal ions. Data reduction and pattern exploration with Binner have allowed us to catalog a number of previously unrecognized complex adducts and neutral losses generated during the ionization of molecules in LC-MS. In summary, Binner allows users to explore patterns in their data and to efficiently and accurately eliminate a significant number of the degenerate features typically found in various LC-MS modalities.

Availability and implementation
Binner is written in Java and is freely available from http://binner.med.umich.edu.

Supplementary information
Supplementary data are available at Bioinformatics online.
Larvae of pyrrhocorid true bugs are not to spiders’ taste: putative Müllerian mimicry
Authors: Raška Jan , Krajíček Jan , Bosáková Zuzana , Štys Pavel , Exnerová Alice 
Published: October 2019

Abstract
Adults and larvae of a true bug, Scantius aegyptius (Heteroptera: Pyrrhocoridae), closely resemble sympatric firebugs, Pyrrhocoris apterus, and probably form a mimetic relationship with the latter species. Scantius aegyptius adults, although producing a secretion atypical of true bugs, are to some extent chemically protected against predators. In this study, we analysed the composition and function of the larval secretion in S. aegyptius, and investigated the mimetic relationship between larvae of S. aegyptius and P. apterus. The main component of the larval secretion in S. aegyptius is 2-heptanol, a chemical not known to function in anti-predatory defence, followed by (E)-2-octenal, a common defensive chemical of true bugs. When larvae of both species were presented to jumping spiders (Evarcha arcuata), S. aegyptius was slightly less well protected than P. apterus, but the spiders behaved towards the two species in a similar way: they quickly learned to avoid the bugs, but usually attacked them again on the second day. The spiders also generalized their learned avoidance from one true bug species to the other (with only slight asymmetry favouring S. aegyptius), suggesting that the bugs’ mimetic relationship is most probably Müllerian, being advantageous to both species.
A Method for the Determination of Veterinary Drugs from Different Therapeutic Classes in Animal Urine
Authors: Ramos-Payán María , Ocaña-González Juan Antonio , Fernández-Torres Rut , Bello-López Miguel Ángel 
Published: October 2019

AbstractA rapid, precise and robust HPLC separation procedure has been developed and optimized for the determination of a series of drugs of different therapeutic classes: chlortetracycline, oxitetracycline, cefoperazone, diclofenac, tiamphenicol, marbofloxacin, ciprofloxacin, danofloxacin, enrofloxacin and flumequine. The chromatographic method used a monolithic C18 column and both diode array and fluorescence detection. This procedure was validated for the analysis of drugs in cow urine, using a simple and fast procedure with methanol/acetonitrile, allowing the simultaneous and efficient extraction of most of the studied drugs. The proposed method was successfully applied to the determination of enrofloxacin in cow urine, collected after the administration of this antibiotic.
From Heaven to Earth: ‘Cultural Idealism’ and ‘Moral Realism’ as Chinese Contributions to Global International Relations
Authors: Acharya Amitav 
Published: October 2019

Abstract
The discipline of International Relations (IR) is increasingly being criticized for ignoring and marginalizing states and societies outside of the core countries of the West. The idea of a ‘Global IR’ has been proposed since 2014 a pathway toward a bridging the ‘West and the Rest’ divide and thus develop a more inclusive discipline, recognizing its multiple and diverse foundations. At the same time, there is a trend toward developing theories, or ‘schools’, on a national or regional basis, the leading examples of which come from China. This article examines some theoretical constructs emerging in China, such as the ‘Relational Theory’ of Qin Yaqing, who is the foundational scholar in the ‘Chinese School of IR’, the Tianxia (‘all under Heaven’) concept as applied to IR and world order by Zhao Tingyang, and ‘Moral Realism’ of Yan Xuetong, who is the leading figure of the ‘Tsinghua School’. To many scholars, both inside and outside China, the relationship among the various Chinese approaches and their overall contribution to the IR field remain unclear. Without claiming to capture all their nuances and complexity, this article hopes to stimulate a conversation among scholars, Chinese and foreign, with a view to generate greater clarity and highlight their importance to the study of IR. I argue that while making important contributions, the Chinese approaches to International Relations Theory (IRT) also face a number of challenges. This includes the need for them to offer more convincing proof that the concepts and explanations they propose can apply to other societies and to IR more generally. Moreover, there is the need for these approaches to attract a critical mass of followers worldwide, stimulate a research agenda for other, especially younger scholars, and distance themselves from the official Chinese policy framings. The Global IR approach offers a helpful framework for highlighting and perhaps addressing these challenges, especially in avoiding cultural exceptionalism and ensuring their wider relevance beyond China.
Using stable isotopes to estimate migratory connectivity for a patchily distributed, wetland-associated Neotropical migrant
Authors: Reese Jessie , Viverette Catherine , Tonra Christopher M , Bayly Nicholas J , Boves Than J , Johnson Erik , Johnson Matthew , Marra Peter , Ames Elizabeth M , Caguazango Angela , DeSaix Matthew , Matthews Alix , Molina Alessandro , Percy Katie , Slevin Morgan C , Bulluck Lesley 
Published: October 2019

AbstractEstimates of migratory connectivity are needed for full annual cycle population models of migratory bird species experiencing rapid declines in abundance. One technique to determine migratory connectivity is through stable isotope analysis. This low-resolution method may be influenced by how data are calibrated between isotopes measured in precipitation and those measured in feathers, and can be informed by incorporating relative abundance into the assignment model. eBird abundance maps are a new tool combining citizen science data into a predictive species distribution model. In the Prothonotary Warbler (Protonotaria citrea), a wetland-associated songbird with a patchy breeding distribution, we sought to use stable-hydrogen isotope analysis informed by a species-specific calibration equation and eBird abundance data to determine the strength of migratory connectivity. We developed a species-specific calibration equation using known-origin samples from the breeding grounds and found that stable-hydrogen isotope values measured in precipitation explained 50% of the variation in stable-hydrogen isotope values among feathers. We found that the assignment model incorporating eBird abundance data correctly identified the true origins of 66% of individuals, and that the average assignment area (as a measure of precision) was 64% of the breeding distribution. These results represented a 7% increase in precision and a 3% decrease in accuracy when compared to a model that was not informed by abundance. Based on these models, wintering populations from 6 countries represented a mix of likely breeding origins, suggesting low migratory connectivity for Prothonotary Warblers. We found evidence that wintering latitude was related to likely breeding origin, with individuals at western wintering locations more likely to have southern breeding origins, but this relationship was weak. These results corroborate studies using archival light-level geolocators and high-resolution genetic markers, which also demonstrated weak migratory connectivity in this species. For patchily distributed species, eBird abundance data may not provide a useful increase in precision and accuracy for isotope assignments.