bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulation
Authors: Benoît Cyril , Thiemann Matthias 
Published: November 2021

Abstract
This article reviews the literature on regulation in International Political Economy. It shows that during recent decades, the study of this topic gradually shifted from a positivist to a more sociologically-informed understanding of the formation, reproduction, and change of regulatory orders. This evolution, it is argued, was motivated by various attempts at locating the plural and often contingent appearances of power in these settings—including the (infra)structural power of firms, the structural mismatches between global and domestic regulations, and the manipulation of regulatory ideas and concepts. Research on financial regulation in the post-crisis era was instrumental in this turn.
Algorithmic Bias and Access to Opportunities
Authors: Herzog Lisa 
Published: November 2021

Abstract
The chapter discusses the problem of algorithmic bias in decision-making processes that determine access to opportunities, such as recidivism scores, college admission decisions, or loan scores. After describing the technical bases of algorithmic bias, it asks how to evaluate them, drawing on Iris Marion Young’s perspective of structural (in)justice. The focus is in particular on the risk of so-called ‘Matthew effects’, in which privileged individuals gain more advantages, while those who are already disadvantaged suffer further. Some proposed solutions are discussed, with an emphasis on the need to take a broad, interdisciplinary perspective rather than a purely technical perspective. The chapter also replies to the objection that private firms cannot be held responsible for addressing structural injustices and concludes by emphasizing the need for political and social action.
Racial/Ethnic Differences in 30-Day Mortality for Heart Failure and Pneumonia in the Veterans Health Administration Using Claims-based, Clinical, and Social Risk-adjustment Variables
Authors: Silva Gabriella C. , Jiang Lan , Gutman Roee , Wu Wen-Chih , Mor Vincent , Fine Michael J. , Kressin Nancy R. , Trivedi Amal N. 
Published: November 2021

Background:
Prior studies have identified lower mortality in Black Veterans compared with White Veterans after hospitalization for common medical conditions, but these studies adjusted for comorbid conditions identified in administrative claims.

Objectives:
The objectives of this study were to compare mortality for non-Hispanic White (hereafter, “White”), non-Hispanic Black (hereafter, “Black”), and Hispanic Veterans hospitalized for heart failure (HF) and pneumonia and determine whether observed mortality differences varied according to whether claims-based comorbid conditions and/or clinical variables were included in risk-adjustment models.

Research Design:
This was an observational study.

Subjects:
The study cohort included 143,520 admissions for HF and 127,782 admissions for pneumonia for Veterans hospitalized in 132 Veterans Health Administration (VA) Medical Centers between January 2009 and September 2015.

Measures:
The primary independent variable was racial/ethnic group (ie, Black, Hispanic, and non-Hispanic White), and the outcome was all-cause mortality 30 days following admission. To compare mortality by race/ethnicity, we used logistic regression models that included different combinations of claims-based, clinical, and sociodemographic variables. For each model, we estimated the average marginal effect (AME) for Black and Hispanic Veterans relative to White Veterans.

Results:
Among the 143,520 (127,782) hospitalizations for HF (pneumonia), the average patient age was 71.6 (70.9) years and 98.4% (97.1%) were male. The unadjusted 30-day mortality rates for HF (pneumonia) were 7.2% (11.0%) for White, 4.1% (10.4%) for Black and 8.4% (16.9%) for Hispanic Veterans. Relative to White Veterans, when only claims-based variables were used for risk adjustment, the AME (95% confidence interval) for the HF [pneumonia] cohort was −2.17 (−2.45, −1.89) [0.08 (−0.41, 0.58)] for Black Veterans and 1.32 (0.49, 2.15) [4.51 (3.65, 5.38)] for Hispanic Veterans. When clinical variables were incorporated in addition to claims-based ones, the AME, relative to White Veterans, for the HF [pneumonia] cohort was −1.57 (−1.88, −1.27) [−0.83 (−1.31, −0.36)] for Black Veterans and 1.50 (0.71, 2.30) [3.30 (2.49, 4.11)] for Hispanic Veterans.

Conclusions:
Compared with White Veterans, Black Veterans had lower mortality, and Hispanic Veterans had higher mortality for HF and pneumonia. The inclusion of clinical variables into risk-adjustment models impacted the magnitude of racial/ethnic differences in mortality following hospitalization. Future studies examining racial/ethnic disparities should consider including clinical variables for risk adjustment.
Spontaneous brain activity alterations in thyroid-associated ophthalmopathy patients using amplitude of low-frequency fluctuation: A resting-state fMRI study
Authors: Qi Chen-Xing , Wen Zhi , Huang Xin 
Published: November 2021

Objectives
Previous studies demonstrated that thyroid-associated ophthalmopathy (TAO) patients were accompanied by cognitive decline. However, The exact neural mechanisms of cognitive decline in TAO patients remain unclear. Our study aimed to investigate the spontaneous brain activity alterations using amplitude of low-frequency fluctuation (ALFF) method and their relationships with clinical features in TAO patients.

Materials and methods
In total, twenty-one patients with TAO (14 men and 7 women) and 21 healthy control (HC) subjects (14 men and 7 women) were enrolled in this study. The ALFF method was used to assess the spontaneous brain activity changes. Meanwhile, receiver operating characteristic (ROC) curve was used to distinguish TAO group and HCs group. And Pearson correlation was performed to calculate the relationship between the observed mean ALFF values of the altered regions in patients with TAO and their clinical features.

Results
Compared with the HCs, TAO patients had significantly lower ALFF values in the right superior occipital gyrus (SOG) and bilateral precuneus (preCUN). In contrast, TAO patients showed higher ALFF values in the left cerebellum (CER) and left insula (INS).

Conclusion
our result highlighted that TAO patients showed altered intrinsic brain activities in the preCUN, left CER, left INS and right SOG, which might provide useful information for explaining neural mechanisms in patients with TAO.
Speech modifications in interactive speech: effects of age, sex and noise type
Authors: Tuomainen Outi , Taschenberger Linda , Rosen Stuart , Hazan Valerie 
Published: November 2021

When attempting to maintain conversations in noisy communicative settings, talkers typically modify their speech to make themselves understood by the listener. In this study, we investigated the impact of background interference type and talker age on speech adaptations, vocal effort and communicative success. We measured speech acoustics (articulation rate, mid-frequency energy, fundamental frequency), vocal effort (correlation between mid-frequency energy and fundamental frequency) and task completion time in 114 participants aged 8–80 years carrying out an interactive problem-solving task in good and noisy listening conditions (quiet, non-speech noise, background speech). We found greater changes in fundamental frequency and mid-frequency energy in non-speech noise than in background speech and similar reductions in articulation rate in both. However, older participants (50+ years) increased vocal effort in both background interference types, whereas younger children (less than 13 years) increased vocal effort only in background speech. The presence of background interference did not lead to longer task completion times. These results suggest that when the background interference involves a higher cognitive load, as in the case of other speech of other talkers, children and older talkers need to exert more vocal effort to ensure successful communication. We discuss these findings within the communication effort framework.This article is part of the theme issue ‘Voice modulation: from origin and mechanism to social impact (Part II)’.
Genomic evidence of paternal genome elimination in the globular springtailAllacma fusca
Authors: Jaron Kamil S. , Hodson Christina N. , Ellers Jacintha , Baird Stuart JE , Ross Laura 
Published: November 2021

AbstractPaternal genome elimination (PGE) - a type of reproduction in which males inherit but fail to pass on their father’s genome - evolved independently in six to eight arthropod clades. Thousands of species, including several important for agriculture, reproduce via this mode of reproduction. While PGE is well established in some of the clades, the evidence in globular springtails (Symphypleona) remains elusive, even though they represent the oldest and most species rich clade putatively reproducing via PGE. We sequenced genomic DNA from whole bodies of Allacma fusca males with high fractions (>27.5%) of sperm to conclusively confirm that all the sperm carry one parental haplotype only. Although it is suggestive that the single haplotype present in sperm is maternally inherited, definitive genetic proof of the parent of origin is still needed. The genomic approach we developed allows for detection of genotypic differences between germline and soma in all species with sufficiently high fraction of germline in their bodies. This opens new opportunities for scans of reproductive modes in small organisms.
Cellular and transcriptional diversity over the course of human lactation
Authors: Nyquist Sarah K. , Gao Patricia , Haining Tessa K. J. , Retchin Michael R. , Maor Yarden Golan , Drake Riley S. , Kolb Kellie , Mead Benjamin E. , Ahituv Nadav , Martinez Micaela E. , Berger Bonnie , Shalek Alex K. , Goods Brittany A. 
Published: November 2021

ABSTRACTHuman breast milk is a dynamic fluid that contains millions of cells, but their identities and phenotypic properties are poorly understood. We used single-cell RNA-seq (scRNA-seq) to characterize the transcriptomes of cells from human breast milk (hBM) across lactational time from 3 to 632 days postpartum in 15 donors. We find that the majority of cells in human breast milk are lactocytes, a specialized epithelial subset, and cell type frequencies shift over the course of lactation yielding greater epithelial diversity at later points. Analysis of lactocytes reveals a continuum of cell states characterized by transcriptional changes in hormone, growth factor, and milk production related pathways. Generalized additive models suggest that one sub-cluster, LALBAlow epithelial cells, increase as a function of time postpartum, daycare attendance, and the use of hormonal birth control. We identify several sub-clusters of macrophages in hBM that are enriched for tolerogenic functions, possibly playing a role in protecting the mammary gland during lactation. Our description of the cellular components of breast milk, their association with maternal-infant dyad metadata and quantification of alterations at the gene and pathways levels provides the first detailed longitudinal picture of human breast milk cells across lactational time. This work paves the way for future investigations of how a potential division of cellular labor and differential hormone regulation might be leveraged therapeutically to support healthy lactation and potentially aid in milk production.
Introspective inference counteracts perceptual distortion
Authors: Mihali Andra , Broeker Marianne , Ragalmuto Florian DM , Horga Guillermo 
Published: November 2021

AbstractIntrospective agents can recognize the extent to which their internal perceptual experiences deviate from the actual states of the external world. This ability, also known as insight, is critically required for reality testing and is impaired in psychosis, yet very little is known about its cognitive underpinnings. We developed a Bayesian modeling framework and a novel psychophysics paradigm to quantitatively characterize this type of insight while participants experienced a motion after-effect illusion. Participants could incorporate knowledge about the illusion into their decisions when judging the actual direction of a motion stimulus, compensating for the illusion (and often overcompensating). Furthermore, confidence, reaction-time, and pupil-dilation data all showed signatures consistent with inferential adjustments in the Bayesian insight model. Our results suggest that people can question the veracity of what they see by making insightful inferences that incorporate introspective knowledge about internal distortions.
Numerous expansions in TRP ion channel diversity highlight widespread evolution of molecular sensors in animal diversification
Authors: Hsiao Jan , Deng Lola Chenxi , Chalasani Sreekanth , Edsinger Eric 
Published: November 2021

ABSTRACTTransient Potential Receptor (TRP) ion channels are a diverse superfamily of multimodal molecular sensors that respond to a wide variety of stimuli, including mechanical, chemical, and thermal. TRP channels are present in most eukaryotes but best understood in mammalian, worm, and fly genetic models, where they are expressed in diverse cell-types and commonly associated with the nervous system. Here, we characterized TRP superfamily gene and genome evolution to better understand origins and evolution of molecular sensors, brains, and behavior in animals and help advance development of novel genetic technologies, like sonogenetics. We developed a flexible push-button bioinformatic and phylogenomic pipeline, GIGANTIC, that generated genome-based gene and species trees and enabled phylogenetic characterization of challenging remote homologs and distantly-related organisms deep in evolution. We identified complete sets of TRP superfamily ion channels, with over 3000 genes in 22 animal phyla and 70 species having publicly-available sequenced genomes, including 3 unicellular outgroups. We then identified clusters of TRP family members in genomes, evaluated gene models per cluster, and repaired split gene models. We also produced whole-organism PacBio transcriptomes for five species to independently validate our gene model assessment and model repairs. We find that many TRP families exhibited numerous and often extensive expansions in different phyla. Some expansions represent local clusters on respective genomes, a trend that is likely undercounted due to varied quality in genome assemblies and annotations of non-model organisms. Our work expands known TRP diversity across animals, including addition of previously uncharacterized phyla and identification of unrecognized homologs in previously characterized species.
An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation
Authors: Gyorgypal Aron , Chundawat Shishir P.S. 
Published: November 2021

AbstractThe biopharmaceutical industry is transitioning towards adoption of continuous biomanufacturing practices that are often more flexible and efficient than traditional batch processes. Regulatory agencies such as the Food and Drug Administration (FDA) are further urging use of advanced PAT to analyze the design space to increase process knowledge and enable high quality biologics production. Post-translational modification of proteins, such as N-linked glycosylation are often critical quality attributes known to affect biologics safety and efficacy hence requiring close monitoring during manufacturing. Here, we developed an online sequential-injection based PAT system, called N-GLYcanyzer, that can rapidly monitor mAb glycosylation during upstream biomanufacturing. The key innovation includes design of an integrated mAb sampling and derivation system for antibody titer and glycoform analysis in under 2 hours. The N-GLYcanyzer process includes mAb capture, deglycosylation, fluorescent glycan labeling, and glycan enrichment for direct injection and analysis on an integrated high performance liquid chromatography (HPLC) system. Different fluorescent tags and reductants were tested to maximize glycan labeling efficiency under aqueous conditions, while porous graphitized carbon (PGC) was studied for optimum glycan recovery and enrichment. We find that 2-AB labeling of glycans with 2-picoline borane as a reducing agent, using the N-GLYcanyzer workflow, gives higher glycan labeling efficiency under aqueous conditions leading to upwards of a 5-fold increase in fluorescent products intensity. Finally, we showcase how the N-GLYcanyzer platform can be implemented at/on-line to an upstream bioreactor for automated and near real-time glycosylation monitoring of a Trastuzumab biosimilar produced by Chinese Hamster Ovary (CHO) cells.Graphical AbstractN-GLYcanyzer is an automated PAT toolkit for rapid sample processing for mAb N-linked glycans analysis to enable advanced biologics manufacturing
Aerobic Bacteria Produce Nitric Oxide via Denitrification and Trigger Algal Population Collapse
Authors: Abada Adi , Sperfeld Martin , Carmieli Raanan , Ben-Dor Shifra , Zhang Irene Huang , Babbin Andrew R. , Segev Einat 
Published: November 2021

AbstractMicrobial interactions govern marine biogeochemistry. These interactions are generally considered to rely on exchange of organic molecules. Here we report on a novel inorganic route of microbial communication, showing that algal-bacterial interactions are mediated through inorganic nitrogen exchange. Under oxygen-rich conditions, aerobic bacteria reduce algal-secreted nitrite to nitric oxide (NO) through denitrification, a well-studied anaerobic respiration mechanism. Bacteria secrete NO, triggering a cascade in algae akin to programmed cell death. During death, algae further generate NO, thereby propagating the signal in the algal population. Eventually, the algal population collapses, similar to the sudden demise of oceanic algal blooms. Our study suggests that the exchange of denitrification intermediates, particularly in oxygenated environments, is an overlooked yet ecologically significant route of microbial communication within and across kingdoms.One Sentence SummaryAerobic bacteria activate denitrification in oxygenated conditions and produce nitric oxide that kills their algal partners
Word structure tunes electrophysiological and hemodynamic responses in the frontal cortex
Authors: Gao Fei , Hua Lin , He Yuwen , Yuan Zhen 
Published: November 2021

AbstractTo date, it is still unclear how word structure might impact lexical processing in the brain for morphological impoverished language like Chinese. In this study, concurrent EEG and fNIRS recordings were performed to inspect the temporal and spatial brain activity that are related to the morphological priming effect (compound/derivation constitute priming vs. non-morphological priming) and word structure (compound vs. derivation) modulation. Interestingly, it was discovered that the morphological priming effect was mainly detected by the behavioral performance and spatial brain activation in the left prefrontal cortex, while word structure effect was revealed by the behavioral data as well as the temporal and spatial brain activation patterns. In addition, Chinese derivations exhibited significantly enhanced brain activation in the frontal cortex and involved more brain networks as compared to lexicalized compounds. The results were interpreted by the differing connection patterns between constitute morphemes within a given word structure from spreading activation perspective. More importantly, we demonstrated that Chinese word structure effect showed a distinct brain activation pattern as compared to that from the dual-route mechanism in alphabetic languages. Therefore, this pilot work paves a new avenue for comprehensively understanding the underlying cognitive neural mechanism associated with Chinese derivations and coordinate compounds.
Ethylene signaling increases reactive oxygen species accumulation to drive root hair initiation in Arabidopsis
Authors: Martin R. Emily , Marzol Eliana , Estevez Jose M. , Muday Gloria K. 
Published: November 2021

ABSTRACTRoot hair initiation is a highly regulated aspect of root development. The plant hormone, ethylene, and its precursor, 1-amino-cyclopropane-1-carboxylic acid (ACC), induce formation and elongation of root hairs. Using confocal microscopy paired with redox biosensors and dyes, we demonstrated that treatments that elevate ethylene levels led to increased hydrogen peroxide accumulation in hair cells prior to root hair formation. In two ethylene-insensitive mutants, etr1-3 and ein3/eil1, there was no increase in root hair number or ROS accumulation. Conversely, etr1-7, a constitutive ethylene signaling receptor mutant, has increased root hair formation and ROS accumulation like ethylene-treated Col-0 seedlings. The caprice and werewolf transcription factor mutants have decreased and elevated ROS levels, which are correlated with levels of root hair initiation. The rhd2-6 mutant, with a defect in the gene encoding a ROS synthesizing Respiratory Burst Oxidase Homolog C (RBOHC) and the prx44-2 mutant defective in a class III peroxidase, showed impaired ethylene-dependent ROS synthesis and root hair formation and EIN3/EIL1 dependent transcriptional regulation. Together, these results indicate that ethylene increases ROS accumulation through RBOHC and PRX44 to drive root hair formation.SUMMARY STATEMENTThe gaseous hormone ethylene increases root hair initiation by elevating reactive oxygen species (ROS) in trichoblast cells. Genetic and biochemical approaches identified ethylene-regulated ROS producing enzymes that drive root hair initiation.
Effectiveness of BNT162b2 (Comirnaty, Pfizer-BioNTech) COVID-19 booster vaccine against covid-19 related symptoms in England: test negative case-control study
Authors: Andrews Nick , Stowe Julia , Kirsebom Freja , Gower Charlotte , Ramsay Mary , Bernal Jamie Lopez 
Published: November 2021

AbstractBackgroundIn September 2021, the UK Government introduced a booster programme targeting individuals over 50 and those in a clinical risk group. Individuals were offered either a full dose of the BNT162b2 (Comirnaty, Pfizer-BioNTech) vaccine or a half dose of the mRNA-1273 (Spikevax, Moderna) vaccine, irrespective of the vaccine received as the primary courseMethodsWe used a test-negative case-control design to estimate the Vaccine Effectiveness (VE) of the booster dose BNT162b2 (Comirnaty, Pfizer-BioNTech) in those aged over 50 against symptomatic disease in post booster time intervals compared to individuals at least 140 days post a second dose with no booster dose recorded. In a secondary analysis, we also compared to unvaccinated individuals and to the 2 to 6 day period after a booster dose was received. Analyses were stratified by which primary doses had been received and any mixed primary courses were excluded.ResultsThe relative VE estimate in the 14 days after the BNT162b2 (Comirnaty, Pfizer-BioNTech) booster dose, compared to individuals that received a two-dose primary course, was 87.4 (95% confidence interval 84.9-89.4) in those individuals who received two doses ChAdOx1-S (Vaxzevria, AstraZeneca) as a primary course and 84.4 (95% confidence interval 82.8-85.8) in those individuals who received two doses of BNT162b2 (Comirnaty, Pfizer-BioNTech) as a primary course. Using the 2-6 day period post the booster dose as the baseline gave similar results. The absolute VE from 14 days after the booster, using the unvaccinated baseline, was 93.1(95% confidence interval 91.7-94.3) in those with ChAdOx1-S (Vaxzevria, AstraZeneca) as their primary course and 94.0 (93.4-94.6) for BNT162b2 (Comirnaty, Pfizer-BioNTech) as their primary course.ConclusionsOur study provides real world evidence of significant increased protection from the booster vaccine dose against symptomatic disease in those aged over 50 year of age irrespective of which primary course was received.