bluuebunny/crossref_metadata_2025_split huggingface dataset:
GC-MS Analysis of Phthalates and Di-(2-thylhexyl) Adipate in Canadian Human Milk for Exposure Assessment of Infant Population
Authors: Cao Xu-Liang , Sparling Melissa , Zhao Wendy , Arbuckle Tye E 
Published: August 2020

Abstract

Background
Although more information has become available on the occurrence of phthalates and di(2-ethylhexyl) adipate (DEHA) in foods including cow’s milk, information on their presence in human milk, the important and recommended sole diet for infants up to six months of age, is very limited, especially for DEHA.

Objective
To develop a GC-MS method for simultaneous analysis of DEHA and phthalates in human milk samples and generate occurrence data for exposure assessment.

Method
Human milk samples were extracted with acetonitrile followed by dispersive solid-phase extraction and GC-MS analysis.

Results
Among the 305 human milk samples collected from the Canadian Maternal-Infant Research on Environmental Chemicals Study, some phthalates (DHxP, BBzP, and DOP) were not detected in any of the samples, while DEHA and the other phthalates (DMP, DEP, DBP, DiBP, and DEHP) were detected at low frequencies with levels from 30.4–237 ng/g in up to 31 of the 305 human milk samples.

Conclusions
In general, DEHA and phthalates were detected at low frequencies and low levels in the 305 human milk samples.

Highlights
A GC-MS method based on dispersive solid phase extraction was developed for analysis of DEHA and eight phthalates in 305 human milk samples for exposure assessment.
Effects of a chemical additive on the fermentation, microbial communities, and aerobic stability of corn silage with or without air stress during storage
Authors: da Silva Érica B , Savage Rebecca M , Biddle Amy S , Polukis Stephanie A , Smith Megan L , Kung Limin 
Published: August 2020

AbstractWe evaluated the effects of a chemical additive on the microbial communities, fermentation profile, and aerobic stability of whole-plant corn silage with or without air stress during storage. Whole-plant corn was either untreated or treated with a chemical additive containing sodium benzoate, potassium sorbate, and sodium nitrite at 2 or 3 liters/t of fresh forage weight. Ten individually treated and replicated silos (7.5 liters) were made for each treatment. Half of the silos remained sealed throughout a 63-d storage period, and the other half was subjected to air stress for 2 h/wk. The composition of the bacterial and fungal communities of fresh forage and silages untreated or treated with 2 liters/t of fresh forage weight was analyzed by Illumina Miseq sequencing. Treated silage had greater (P &lt; 0.05) aerobic stability than untreated, even when subjected to air stress during storage, but the numbers of yeasts culturable on selective agar were not affected. However, the additive reduced the relative abundance (RA) of the lactating-assimilating yeast Candida tropicalis (P &lt; 0.01). In air-stressed silages, untreated silage had a greater (P &lt; 0.05) RA of Pichia kudriavzevii (also a lactate assimilator) than treated silage, whereas treated silage was dominated by Candida humilis, which is usually unable to assimilate lactate or assimilates it slowly. The additive improved the aerobic stability by specifically preventing the dominance of yeast species that can consume lactate and initiate aerobic spoilage. To the best of our knowledge, this is the first work that identifies the specific action of this additive on shifting the microbial communities in corn silage.
Blockchain-based architecture for the control of logistics activities: Pharmaceutical utilities case study
Authors: Mezquita Yeray , Casado-Vara Roberto , González Briones Alfonso , Prieto Javier , Corchado Juan M 
Published: August 2020

Abstract
Logistics services involve a wide range of transport operations between distributors and clients. Currently, the large number of intermediaries are a challenge for this sector, as it makes all the processes more complicated. To face that problem, we propose a system that uses smart contracts to remove intermediaries and speed up logistics activities. Our new model combines smart contracts and a multi-agent system in a single platform to improve the current logistics system by increasing organization, security and getting rid of several human intermediaries to automate its processes, making distribution times significantly faster. Also, with this kind of approach, it is possible to apply penalties to parties that do not comply with the terms of using this platform.
Casual Resistance: A Longitudinal Case Study of Video Gaming’s Gendered Construction and Related Audience Perceptions
Authors: Cote Amanda C 
Published: August 2020

AbstractMany media are associated with masculinity or femininity and male or female audiences, which links them to broader power structures around gender. Media scholars thus must understand how gendered constructions develop and change, and what they mean for audiences. This article addresses these questions through longitudinal, in-depth interviews with female video gamers (2012–2018), conducted as the rise of casual video games potentially started redefining gaming’s historical masculinization. The analysis shows that participants have negotiated relationships with casualness. While many celebrate casual games’ potential for welcoming new audiences, others resist casual’s influence to safeguard their self-identification as gamers. These results highlight how a medium’s gendered construction may not be salient to consumers, who carefully navigate divides between their own and industrially designed identities, but can simultaneously reaffirm existing power structures. Further, how participants’ views change over time emphasizes communication’s ongoing need for longitudinal audience studies that address questions of media, identity, and inclusion.
Algorithmic properties of first-order modal logics of finite Kripke frames in restricted languages
Authors: Rybakov Mikhail , Shkatov Dmitry 
Published: August 2020

Abstract
We study the effect of restricting the number of individual variables, as well as the number and arity of predicate letters, in languages of first-order predicate modal logics of finite Kripke frames on the logics’ algorithmic properties. A finite frame is a frame with a finite set of possible worlds. The languages we consider have no constants, function symbols or the equality symbol. We show that most predicate modal logics of natural classes of finite Kripke frames are not recursively enumerable—more precisely, $\varPi ^0_1$-hard—in languages with three individual variables and a single monadic predicate letter. This applies to the logics of finite frames of the predicate extensions of the sublogics of propositional modal logics $\textbf{GL}$, $\textbf{Grz}$ and $\textbf{KTB}$—among them, $\textbf{K}$, $\textbf{T}$, $\textbf{D}$, $\textbf{KB}$, $\textbf{K4}$ and $\textbf{S4}$.
Disability Rights During COVID-19: Emergency Law and Guidelines in England
Authors: Antova Ivanka 
Published: August 2020

Abstract
Disabled people may be disproportionately impacted by the response to the COVID-19 outbreak because of the kinds of countermeasures needed to tackle it, and serious disruptions to the services on which they rely. There are reports from the disability community in England and elsewhere that measures taken to contain the spread of COVID-19 impact negatively on their human rights and experiences. This commentary focuses on the healthcare and social care systems in England and describes how laws and practices have changed under the COVID-19 pandemic, and how these changes affect the rights of disabled people.
Belief Revision for Growing Awareness
Authors: Steele Katie , Stefánsson H. Orri 
Published: August 2020

Abstract
The Bayesian maxim for rational learning could be described as conservative change from one probabilistic belief or credence function to another in response to new information. Roughly: ‘Hold fixed any credences that are not directly affected by the learning experience.’ This is precisely articulated for the case when we learn that some proposition that we had previously entertained is indeed true (the rule of conditionalization). But can this conservative-change maxim be extended to revising one’s credences in response to entertaining propositions or concepts of which one was previously unaware? The economists Karni and Vierø (2013, 2015) make a proposal in this spirit. Philosophers have adopted effectively the same rule: revision in response to growing awareness should not affect the relative probabilities of propositions in one’s ‘old’ epistemic state. The rule is compelling, but only under the assumptions that its advocates introduce. It is not a general requirement of rationality, or so we argue. We provide informal counterexamples. And we show that, when awareness grows, the boundary between one’s ‘old’ and ‘new’ epistemic commitments is blurred. Accordingly, there is no general notion of conservative change in this setting.
Quantifying density-ionization correlations with the 21-cm power spectrum
Authors: Pagano Michael , Liu Adrian 
Published: August 2020

ABSTRACT
The epoch of reionization (EoR) – when neutral hydrogen in the intergalactic medium was systematically ionized – is a period in our Universe’s history that is currently poorly understood. However, a key prediction of most models is a correlation between the density and ionization field during the EoR. This has consequences for the 21-cm power spectrum. Here, we propose a parametrization for the density-ionization correlation and study the dependence of the 21-cm power spectrum on this parametrization. We use this formalism to forecast the ability of current and future observations to constrain these correlations. We find that upper limits on the dimensionless power spectrum at redshifts 7.5 &lt; z &lt; 8.5 using k bins between $0.1 \lt k \lt 0.75\, \textrm {Mpc}^{-1}$ with error bars at the level of ${\sim\! }20\, \textrm {mK}^2$ about our fiducial model would rule out uncorrelated reionization at $99{{\ \rm per\ cent}}$ credibility. Beyond upper limits, we find that at its full sensitivity, the Hydrogen Epoch of Reionization Array (HERA) will be able to place strong constraints on the sign and magnitude of density-ionization correlations.
Physical models of streaming instabilities in protoplanetary discs
Authors: Squire Jonathan , Hopkins Philip F 
Published: August 2020

ABSTRACT
We develop simple, physically motivated models for drag-induced dust–gas streaming instabilities, which are thought to be crucial for clumping grains to form planetesimals in protoplanetary discs. The models explain, based on the physics of gaseous epicyclic motion and dust–gas drag forces, the most important features of the streaming instability and its simple generalization, the disc settling instability. Some of the key properties explained by our models include the sudden change in the growth rate of the streaming instability when the dust-to-gas mass ratio surpasses one, the slow growth rate of the streaming instability compared to the settling instability for smaller grains, and the main physical processes underlying the growth of the most unstable modes in different regimes. As well as providing helpful simplified pictures for understanding the operation of an interesting and fundamental astrophysical fluid instability, our models may prove useful for analysing simulations and developing non-linear theories of planetesimal growth in discs.
Tropological Interaction and Expressive Interpretation in Stravinsky’s Neoclassical Works
Authors: Schumann Scott C 
Published: August 2020

AbstractA striking feature of Stravinsky’s neoclassical works is his simultaneous use of two or more topics. Robert S. Hatten (2014) has defined this process as troping, which involves four axes or “dimensions along which an imported topic and its potential tropological interaction may be marked with respect to its new environment,” defined as degrees of compatibility, dominance, creativity, and productivity. In this article, I use these four axes to demonstrate how combining analytical insights from each axis and adapting them for twentieth-century music can lead to nuanced expressive interpretations of Stravinsky’s neoclassical works.
LOTUS domain is a novel class of G-rich and G-quadruplex RNA binding domain
Authors: Ding Deqiang , Wei Chao , Dong Kunzhe , Liu Jiali , Stanton Alexander , Xu Chao , Min Jinrong , Hu Jian , Chen Chen 
Published: August 2020

Abstract
LOTUS domains are helix-turn-helix protein folds identified in essential germline proteins and are conserved in prokaryotes and eukaryotes. Despite originally predicted as an RNA binding domain, its molecular binding activity towards RNA and protein is controversial. In particular, the most conserved binding property for the LOTUS domain family remains unknown. Here, we uncovered an unexpected specific interaction of LOTUS domains with G-rich RNA sequences. Intriguingly, LOTUS domains exhibit high affinity to RNA G-quadruplex tertiary structures implicated in diverse cellular processes including piRNA biogenesis. This novel LOTUS domain-RNA interaction is conserved in bacteria, plants and animals, comprising the most ancient binding feature of the LOTUS domain family. By contrast, LOTUS domains do not preferentially interact with DNA G-quadruplexes. We further show that a subset of LOTUS domains display both RNA and protein binding activities. These findings identify the LOTUS domain as a specialized RNA binding domain across phyla and underscore the molecular mechanism underlying the function of LOTUS domain-containing proteins in RNA metabolism and regulation.
gNOMO: a multi-omics pipeline for integrated host and microbiome analysis of non-model organisms
Authors: Muñoz-Benavent Maria , Hartkopf Felix , Van Den Bossche Tim , Piro Vitor C , García-Ferris Carlos , Latorre Amparo , Renard Bernhard Y , Muth Thilo 
Published: August 2020

Abstract
The study of bacterial symbioses has grown exponentially in the recent past. However, existing bioinformatic workflows of microbiome data analysis do commonly not integrate multiple meta-omics levels and are mainly geared toward human microbiomes. Microbiota are better understood when analyzed in their biological context; that is together with their host or environment. Nevertheless, this is a limitation when studying non-model organisms mainly due to the lack of well-annotated sequence references. Here, we present gNOMO, a bioinformatic pipeline that is specifically designed to process and analyze non-model organism samples of up to three meta-omics levels: metagenomics, metatranscriptomics and metaproteomics in an integrative manner. The pipeline has been developed using the workflow management framework Snakemake in order to obtain an automated and reproducible pipeline. Using experimental datasets of the German cockroach Blattella germanica, a non-model organism with very complex gut microbiome, we show the capabilities of gNOMO with regard to meta-omics data integration, expression ratio comparison, taxonomic and functional analysis as well as intuitive output visualization. In conclusion, gNOMO is a bioinformatic pipeline that can easily be configured, for integrating and analyzing multiple meta-omics data types and for producing output visualizations, specifically designed for integrating paired-end sequencing data with mass spectrometry from non-model organisms.
Functional connectivity within glioblastoma impacts overall survival
Authors: Daniel Andy G S , Park Ki Yun , Roland Jarod L , Dierker Donna , Gross James , Humphries Joseph B , Hacker Carl D , Snyder Abraham Z , Shimony Joshua S , Leuthardt Eric C 
Published: August 2020

Abstract

Background
Glioblastoma (GBM; World Health Organization grade IV) assumes a variable appearance on MRI owing to heterogeneous proliferation and infiltration of its cells. As a result, the neurovascular units responsible for functional connectivity (FC) may exist within gross tumor boundaries, albeit with altered magnitude. Therefore, we hypothesize that the strength of FC within GBMs is predictive of overall survival.

Methods
We used predefined FC regions of interest (ROIs) in de novo GBM patients to characterize the presence of within-tumor FC observable via resting-state functional MRI and its relationship to survival outcomes.

Results
Fifty-seven GBM patients (mean age, 57.8 ± 13.9 y) were analyzed. Functionally connected voxels, not identifiable on conventional structural images, can be routinely found within the tumor mass and was not significantly correlated to tumor size. In patients with known survival times (n = 31), higher intranetwork FC strength within GBM tumors was associated with better overall survival even after accounting for clinical and demographic covariates.

Conclusions
These findings suggest the possibility that functionally intact regions may persist within GBMs and that the extent to which FC is maintained may carry prognostic value and inform treatment planning.
Supporting children and youth during the COVID-19 pandemic and beyond: A rights-centred approach
Authors: Suleman Shazeen , Ratnani Yasmine , Stockley Katrina , Jetty Radha , Smart Katharine , Bennett Susan , Gander Sarah , Loock Christine 
Published: August 2020

Abstract
The COVID-19 pandemic is an unprecedented global crisis, affecting millions globally and in Canada. While efforts to limit the spread of the infection and ‘flatten the curve’ may buffer children and youth from acute illness, these public health measures may worsen existing inequities for those living on the margins of society. In this commentary, we highlight current and potential long-term impacts of COVID-19 on children and youth centring on the UN Convention of the Rights of the Child (UNCRC), with special attention to the accumulated toxic stress for those in difficult social circumstances. By taking responsive action, providers can promote optimal child and youth health and well-being, now and in the future, through adopting social history screening, flexible care models, a child/youth-centred approach to “essential” services, and continual advocacy for the rights of children and youth.
S-wave kaon–nucleon potentials with all-to-all propagators in the HAL QCD method
Authors:   HAL QCD Collaboration, Murakami Kotaro , Akahoshi Yutaro , Aoki Sinya 
Published: August 2020

Abstract
Employing an all-to-all quark propagator technique, we investigate kaon–nucleon interactions in lattice QCD. We calculate the S-wave kaon–nucleon potentials at the leading order in the derivative expansion in the time-dependent HAL QCD method, using (2+1)-flavor gauge configurations on $32^3 \times 64$ lattices with lattice spacing $a \approx 0.09$ fm and pion mass $m_{\pi} \approx 570$ MeV. We take the one-end trick for all-to-all propagators, which allows us to put the zero-momentum hadron operators at both source and sink and to smear quark operators at the source. We find a stronger repulsive interaction in the $I=1$ channel than in the $I=0$. The phase shifts obtained by solving the Schrödinger equations with the potentials qualitatively reproduce the energy dependence of the experimental phase shifts, and have similar behavior to previous results from lattice QCD without all-to-all propagators. Our study demonstrates that the all-to-all quark propagator technique with the one-end trick is useful for studying interactions in meson–baryon systems in the HAL QCD method, so we will apply it to meson–baryon systems which contain quark–antiquark creation/annihilation processes in our future studies.
Neighborhood conditions and the initial outbreak of COVID-19: the case of Louisiana
Authors: van Holm Eric Joseph , Wyczalkowski Christopher K , Dantzler Prentiss A 
Published: August 2020

AbstractThe early outbreak of coronavirus disease-2019 (COVID)-19 became associated with various ‘hot spots’ in the USA, particularly in large cities. However, despite the widespread nature of the outbreak, much of what is known about the virus’ impact and clusters is understood either for individuals, or at the state level. This paper assesses the predictors of outbreaks at the neighborhood level. Using data from the Louisiana Department of Health, we use spatial regression models to analyze the case count through 3 May 2020 and its relationship to individual and geographic neighborhood characteristics at the census tract level. We find a particularly strong and large correlation between race and COVID-19 cases, robust to model specification and spatial autocorrelation. In addition, neighborhoods with lower rates of poverty and those with fewer residents over 70 have fewer cases. Policy makers should adjust testing strategies to better service the hardest hit populations, particularly minorities and the elderly. In addition, the results are greater evidence of the impact of systemic issues on health, which require a long-term strategy for redress.
Volatility Markets Underreacted to the Early Stages of the COVID-19 Pandemic
Authors: Cheng Ing-Haw 
Published: August 2020

Abstract
VIX futures prices rose slowly in late February and early March 2020 as the COVID-19 pandemic took hold. Futures price premiums, defined as futures prices minus real-time statistical forecasts of future VIX values, turned sharply negative and remained negative until mid-April. Trading strategies based on estimated premiums profited from the subsequent increase in market volatility and equity market crash. The underreaction of futures prices to growing pandemic risks poses a puzzle for standard asset pricing models.
Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
The Macroeconomics of Corporate Debt
Authors: Brunnermeier Markus , Krishnamurthy Arvind 
Published: August 2020

Abstract
The 2020 COVID-19 crisis can spur research on firms’ corporate finance decisions and their macroeconomic implications, similar to the wave of important research on banking and household finance triggered by the 2008 financial crisis. What are the relevant corporate finance mechanisms in this crisis? Modeling dynamics and timing considerations are likely important, as is integrating corporate financing considerations into modern quantifiable macroeconomics models. Recent empirical work, including articles in this special issue, on the drag from debt in the COVID-19 crisis provides a first glimpse into the new research agenda. (JEL E22, E44, G32, G33)
Received July 23, 2020; editorial decision: July 23, 2020 by Editor Andrew Ellul
Dorsolateral prefrontal cortex response to negative tweets relates to executive functioning
Authors: Tashjian Sarah M , Galván Adriana 
Published: August 2020

Abstract
Cognitive performance can become impaired when a stimulus evokes an emotional response. Social media often elicits emotional reactions, but, despite social media’s ubiquity, cognitive and neural consequences of exposure to negative online content are relatively unknown. Fifty-seven human adults (18–29 years; 38 female) who identified with at least one historically-marginalized group performed a novel ‘Tweet Task’. While undergoing functional magnetic resonance imaging, participants completed a spatial reasoning task before and after reading a set of actual tweets. Participants were randomly assigned to read negative, discriminatory tweets from President Trump (Negative Condition) or neutral tweets (Neutral Condition). Participants in the Negative Condition reported worsening affect and demonstrated performance interference post-tweet compared to those in the Neutral Condition. Affect post-tweet was associated with parametric reductions in left dorsolateral prefrontal cortex, which predicted variance in performance beyond elicited negative affect. Performance effects were demonstrated on an unrelated spatial reasoning task suggesting that engaging with negative, emotionally-arousing content on social media can have deleterious effects on executive functioning in non-social domains.