bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Popular Appeal of Human Rights Activism: Reimagining Transitional Justice as a Political Struggle
Authors: Georgi Frank Richard 
Published: March 2022

AbstractHow do human rights activists imagine transitional justice amid sociopolitical conflicts that surface after peace agreements? Since its inception in the 2016 peace accords, Colombia's renewed endeavor to come to terms with its violent past has been overshadowed by massive protests and political polarization. In this article, I argue that populism, defined as a grid of intelligibility to make sense of frustrated demands and engage in politics, can help us understand the protest discourses of human rights defenders on transitional justice as they emerge from experiences with political marginalization and broken state promises. Based on interviews during six months of fieldwork in different conflict-affected regions, I contend that human rights defenders imagine transitional justice in terms of a larger political struggle that exceeds justice for past atrocities and can be described through three tropes that both resound with and challenge populism debates: truth as the frontier of political confrontation with right-wing elites, the “rights-defending victim” as a form of popular subjectivity and political underdog, and liberal overhaul of corrupted democratic institutions. Conceptually, my reconstruction of activist discourses serves a two-fold purpose: it bridges debates on transitional justice and contentious politics, and constructively challenges the ostensible incompatibility of human rights and populism.
Effect of genotypic richness, drought and mycorrhizal associations on productivity and functional traits of a dominant C4 grass
Authors: Pehim Limbu Smriti , Avolio Meghan L 
Published: March 2022

AbstractWhile the relationship between genetic diversity and plant productivity has been established for many species, it is unclear whether environmental conditions and biotic associations alter the nature of the relationship. To address this, we investigated the interactive effects of genotypic diversity, drought and mycorrhizal association on plant productivity and plant traits. Our mesocosm study was set up at the Konza Prairie Biological Research Station, located in the south of Manhattan, Kansas. Andropogon gerardii, the focal species for our study, was planted in two levels of genotypic richness treatment: monoculture or three-genotype polyculture. A rainout shelter was constructed over half of the experimental area to impose a drought and Thiophanate-methyl fungicide was used to suppress arbuscular mycorrhizal fungi in selected pots within each genotypic richness and drought treatment. Genotypic richness and mycorrhizal association did not affect above-ground biomass of A. gerardii. Drought differentially affected the above-ground biomass, the number of flowers and bolts of A. gerardii genotypes, and the biomass and the functional traits also differed for monoculture versus polyculture. Our results suggest that drought and genotypic richness can have variable outcomes for different genotypes of a plant species.
Psychometric Considerations in Developing PROMIS® Measures for Early Childhood
Authors: Lai Jin-Shei , Kallen Michael A , Blackwell Courtney K , Wakschlag Lauren S , Cella David 
Published: March 2022

Abstract

Objective
The early expression of lifespan health and disease states can often be detected in early childhood. Currently, the Patient-Reported Outcome Measurement Information System (PROMIS®) includes over 300 measures of health for individuals ages 5 years and older. We extended PROMIS to early childhood by creating developmentally appropriate, lifespan coherent parent-report measures for 1–5-year-olds. This paper describes the psychometric approaches used for these efforts;

Methods
2 waves of data from parents of children ages 1–5 were collected via 2 internet panel companies. Wave 1 data (n = 1,400) were used to evaluate item pool unidimensionality, model fit, and initial item parameters. Combined data from wave 1 and wave 2 (reference sample; n = 1,057) were used to estimate final item parameters. Using item response theory methods, we developed and tested 12 item pools: Global Health, Physical Activity, Sleep Disturbance, Sleep-related Impairment, Anger/Irritability, Anxiety, Depressive Symptoms, Positive Affect, Self-Regulation, Engagement, Family Relationships, and Peer Relationships;

Results
Wave 1 analyses supported the unidimensionality of Physical Activity, Positive Affect, Anger/Irritability, Anxiety, Depressive Symptoms, and Global Health. Family Relationships and Peer Relationships were combined to form “Social Relationships”; Sleep Disturbance and Sleep-related Impairment were combined to form “Sleep Problems.” Self-Regulation was divided into “Flexibility” and “Frustration Tolerance”; Engagement was divided into “Curiosity” and “Persistence.” Short forms were developed for item banks with more than 10 items; and

Conclusions
Using rigorous mixed-methods, we successfully extended PROMIS to early childhood (1–5-year-olds). Measures are now publicly available in English and Spanish (www.healthmeasures.net).
Similarities behind the high- and low-α disc: small intrinsic abundance scatter and migrating stars
Authors: Lu Yuxi (Lucy) , Ness Melissa K , Buck Tobias , Zinn Joel C , Johnston Kathryn V 
Published: March 2022

ABSTRACT
The detailed age-chemical abundance relations of stars measure time-dependent chemical evolution. These trends offer strong empirical constraints on nucleosynthetic processes, as well as the homogeneity of star-forming gas. Characterizing chemical abundances of stars across the Milky Way over time has been made possible very recently, thanks to surveys like Gaia, APOGEE, and Kepler. Studies of the low-α disc have shown that individual elements have unique age–abundance trends and the intrinsic dispersion around these relations is small. In this study, we examine and compare the age distribution of stars across both the high and low-α disc and quantify the intrinsic dispersion of 16 elements around their age–abundance relations at [Fe/H] = 0 using APOGEE DR16. We examine the age–metallicity relation and visualize the temporal and spatial distribution of disc stars in small chemical cells. We find: (1) the high-α disc has shallower age–abundance relations compared to the low-α disc, but similar median intrinsic dispersions of ∼0.03 dex; (2) turnover points in the age-[Fe/H] relations across radius for both the high- and low-α disc. The former constrains the mechanisms that set similar intrinsic dispersions, regardless of differences in the enrichment history, for stars in both disc, and the latter indicates the presence of radial migration in both disc. Our study is accompanied by an age catalogue for 64 317 stars in APOGEE derived using the cannon with a median uncertainty of 1.5 Gyr (26 per cent; APO-CAN stars), and a red clump catalogue of 22 031 stars with a contamination rate of 2.7 per cent.
The XXL Survey – XLVIII. X-ray follow-up of distant XXL clusters: masses, scaling relations, and AGN contamination
Authors: Duffy R T , Logan C H A , Maughan B J , Eckert D , Birkinshaw M , Clerc N , Ettori S , Gastaldello F , Koulouridis E , Pierre M , Ricci M , Sereno M , Valtchanov I , Willis J P 
Published: March 2022

ABSTRACT
We use deep follow-up XMM–Newton observations of six clusters discovered in the XXL Survey at z &gt; 1 to gain robust measurements of their X-ray properties and to investigate the extent to which scaling relations at low redshift are valid at z &gt; 1. This sample is unique as it has been investigated for active galactic nucleus (AGN) contamination, which ensures measurements are not undermined by systematic uncertainties, and pushes to lower mass at higher redshift than is usually possible, for example with Sunyaev–Zel’dovich (SZ) selected clusters. We determine the flux contribution of point sources to the XXL cluster flux in order to test for the presence of AGN in other high-redshift cluster candidates, and find 3XLSS J231626.8−533822 to be a point source misclassified as a cluster and 3XLSS J232737.3−541618 to be a genuine cluster. We present the first attempt to measure the hydrostatic masses in a bright subsample of z &gt; 1 X-ray selected galaxy clusters with a known selection function. Periods of high particle background significantly reduced the effective exposure times of observations (losing &gt;50 per cent in some cases) limiting the power of this study. When combined with complementary SZ selected cluster samples at higher masses, the data appear broadly consistent with the self-similar evolution of the low redshift scaling relations between intracluster medium properties and cluster mass, suggesting that properties such as the X-ray temperature, gas mass, and SZ signal remain reliable mass proxies even at high redshift.
AdaBoost-MICNN: a new network framework for pulsar candidate selection
Authors: Zhao Hongyang , Jin Jing , Liu Yi , Shen Yi , Jiang Yu 
Published: March 2022

ABSTRACT
Pulsar observation and research are of great significance. With the gradual increase in the performance and quantity of observing equipment, the received pulsar observation data also increase geometrically. Machine learning can mine large-scale pulsar data sets to realize automatic pulsar candidate identification. However, the pulsar candidate and non-pulsar candidate data sets are highly imbalanced. The traditional classifier trained on the data set with imbalanced class distribution usually shows poor generalization performance, which will cause the classifier to be biased towards negative instances. To address the problem of poor identification algorithm performance caused by sample imbalance, we describe a new framework, namely AdaBoost-multi-input-CNN (AdaBoost-MICNN). In AdaBoost, multiple baseline models are trained sequentially, and the weight of each training sample changes as the training progresses. Especially the minority samples, which are more easily ignored, will get more attention in subsequent baseline models. This will solve the problem of imbalanced classification. Meanwhile, there are usually four pulsar diagnostic plots. To automatically extract and integrate these four diagnostic plots features, we use multi-input-CNN (MICNN) as the baseline model of AdaBoost. The attention mechanism is introduced to enhance the performance of MICNN’s extraction of features, and design an objective function that adds the maximum mean discrepancy to enhance the anti-interference ability of the model. Finally, the proposed method is tested in the High Time Resolution Universe Medlat Data, and the experimental results verify the effectiveness and efficiency of the method.
Xenogeneic nucleoid-associated EnrR thwarts H-NS silencing of bacterial virulence with unique DNA binding
Authors: Ma Ruiqing , Liu Yabo , Gan Jianhua , Qiao Haoxian , Ma Jiabao , Zhang Yi , Bu Yifan , Shao Shuai , Zhang Yuanxing , Wang Qiyao 
Published: March 2022

Abstract
Type III and type VI secretion systems (T3/T6SS) are encoded in horizontally acquired genomic islands (GIs) that play crucial roles in evolution and virulence in bacterial pathogens. T3/T6SS expression is subjected to tight control by the host xenogeneic silencer H-NS, but how this mechanism is counteracted remains to be illuminated. Here, we report that xenogeneic nucleoid-associated protein EnrR encoded in a GI is essential for virulence in pathogenic bacteria Edwardsiella and Salmonella. We showed that EnrR plays critical roles in T3/T6SS expression in these bacteria. Various biochemical and genetic analyses demonstrated that EnrR binds and derepresses the promoter of esrB, the critical regulator of T3/T6SS, to promote their expression by competing with H-NS. Additionally, EnrR targets AT-rich regions, globally modulates the expression of ∼363 genes and is involved in various cellular processes. Crystal structures of EnrR in complex with a specific AT-rich palindromic DNA revealed a new DNA-binding mode that involves conserved HTH-mediated interactions with the major groove and contacts of its N-terminal extension to the minor groove in the symmetry-related duplex. Collectively, these data demonstrate that EnrR is a virulence activator that can antagonize H-NS, highlighting a unique mechanism by which bacterial xenogeneic regulators recognize and regulate foreign DNA.
Generation and network analysis of an RNA-seq transcriptional atlas for the rat
Authors: Summers Kim M , Bush Stephen J , Wu Chunlei , Hume David A 
Published: March 2022

AbstractThe laboratory rat is an important model for biomedical research. To generate a comprehensive rat transcriptomic atlas, we curated and downloaded 7700 rat RNA-seq datasets from public repositories, downsampled them to a common depth and quantified expression. Data from 585 rat tissues and cells, averaged from each BioProject, can be visualized and queried at http://biogps.org/ratatlas. Gene co-expression network (GCN) analysis revealed clusters of transcripts that were tissue or cell type restricted and contained transcription factors implicated in lineage determination. Other clusters were enriched for transcripts associated with biological processes. Many of these clusters overlap with previous data from analysis of other species, while some (e.g. expressed specifically in immune cells, retina/pineal gland, pituitary and germ cells) are unique to these data. GCN analysis on large subsets of the data related specifically to liver, nervous system, kidney, musculoskeletal system and cardiovascular system enabled deconvolution of cell type-specific signatures. The approach is extensible and the dataset can be used as a point of reference from which to analyse the transcriptomes of cell types and tissues that have not yet been sampled. Sets of strictly co-expressed transcripts provide a resource for critical interpretation of single-cell RNA-seq data.
Data-driven identification of inherent features of eukaryotic stress-responsive genes
Authors: Latorre Pablo , Böttcher René , Nadal-Ribelles Mariona , Li Constance H , Solé Carme , Martínez-Cebrián Gerard , Boutros Paul C , Posas Francesc , de Nadal Eulàlia 
Published: March 2022

Abstract
Living organisms are continuously challenged by changes in their environment that can propagate to stresses at the cellular level, such as rapid changes in osmolarity or oxygen tension. To survive these sudden changes, cells have developed stress-responsive mechanisms that tune cellular processes. The response of Saccharomyces cerevisiae to osmostress includes a massive reprogramming of gene expression. Identifying the inherent features of stress-responsive genes is of significant interest for understanding the basic principles underlying the rewiring of gene expression upon stress. Here, we generated a comprehensive catalog of osmostress-responsive genes from 5 independent RNA-seq experiments. We explored 30 features of yeast genes and found that 25 (83%) were distinct in osmostress-responsive genes. We then identified 13 non-redundant minimal osmostress gene traits and used statistical modeling to rank the most stress-predictive features. Intriguingly, the most relevant features of osmostress-responsive genes are the number of transcription factors targeting them and gene conservation. Using data on HeLa samples, we showed that the same features that define yeast osmostress-responsive genes can predict osmostress-responsive genes in humans, but with changes in the rank-ordering of feature-importance. Our study provides a holistic understanding of the basic principles of the regulation of stress-responsive gene expression across eukaryotes.
What the Tortoise Says about Statutory Interpretation: The Semantic Canons of Construction Do Not Tip the Balance
Authors: Afrouzi Amin Ebrahimi 
Published: March 2022

Abstract
Karl Llewellyn’s critique of the canons of statutory interpretation led to a decline in their use for several decades. His critique, however, faced sustained resistance from some corners of the academy and the judiciary. Although this resistance has had only a selective uptake, it animated a gradual revival of the canons and brought the state of scholarship to an impasse that is for the most part partisan. In this article, I examine the semantic canons from a deeper level and argue that a universal assumption about them is false. Said assumption is that, although not dispositive, the semantic canons at least offer some reasons in favour of or against a candidate interpretation. Inclinations to rely on the semantic canons are also based on this assumption, although it is an assumption that the critics of the canons also share. I argue that this assumption is false because the semantic canons are a class of rules that are by nature not reason-giving. This provides a new ground against giving the semantic canons deliberative weight in questions of statutory interpretation.
La prise en charge de la persistance du canal artériel chez les nouveau-nés prématurés
Authors: Mitra Souvik , Weisz Dany , Jain Amish , Jong Geert ‘t 
Published: March 2022

Abstract
La prise en charge de la persistance du canal artériel est l’un des aspects les plus litigieux des soins aux nouveau-nés prématurés. On peut la classer en deux grandes catégories : la prophylaxie et le traitement en cas de symptômes. L’administration prophylactique d’indométacine par voie intraveineuse chez les nouveau-nés d’extrême petit poids à la naissance peut limiter les graves hémorragies intraventriculaires. L’échocardiographie est systématiquement recommandée pour confirmer une persistance du canal artériel avant d’envisager le traitement en cas de symptômes, qui peut prendre la forme d’un traitement conservateur, d’une pharmacothérapie ou d’une fermeture invasive. L’ibuprofène doit être considéré comme le traitement pharmacologique de première intention dans cette situation. Une forte dose peut être à privilégier, particulièrement chez les nouveau-nés prématurés de plus de trois à cinq jours de vie. Si deux traitements pharmacologiques consécutifs échouent ou si la pharmacothérapie est contre-indiquée, on peut envisager une fermeture invasive en cas de symptômes marqués lorsque l’échocardiographie révèle des signes de shunt à fort volume à travers le canal artériel et de circulation pulmonaire excessive.
Transforming social perspectives with cognitive maps
Authors: Arzy Shahar , Kaplan Raphael 
Published: March 2022

Abstract
Growing evidence suggests that cognitive maps represent relations between social knowledge similar to how spatial locations are represented in an environment. Notably, the extant human medial temporal lobe literature assumes associations between social stimuli follow a linear associative mapping from an egocentric viewpoint to a cognitive map. Yet, this form of associative social memory does not account for a core phenomenon of social interactions in which social knowledge learned via comparisons to the self, other individuals or social networks are assimilated within a single frame of reference. We argue that hippocampal–entorhinal coordinate transformations, known to integrate egocentric and allocentric spatial cues, inform social perspective switching between the self and others. We present evidence that the hippocampal formation helps inform social interactions by relating self vs other social attribute comparisons to society in general, which can afford rapid and flexible assimilation of knowledge about the relationship between the self and social networks of varying proximities. We conclude by discussing the ramifications of cognitive maps in aiding this social perspective transformation process in states of health and disease.
Prefrontal cortical thickness, emotion regulation strategy use and COVID-19 mental health
Authors: Dimanova Plamina , Borbás Réka , Schnider Cilly Bernardette , Fehlbaum Lynn Valérie , Raschle Nora Maria 
Published: March 2022

Abstract
Coronavirus disease 2019 (COVID-19) and associated restrictions have been linked to negative mental health outcomes across the globe. Cognitive emotion regulation strategies, neurally supported by prefrontal and limbic regions, constitute means to mitigate negative affects resulting from adverse life experiences. Variations in cognitive emotion regulation strategy use, anxiety, and depression were assessed in 43 adults (31♀/12♂, age = 35.14 ± 9.20 years) during the first months following COVID-19 onset and at the end of 2020 (seven assessments). Direct and indirect effects of emotion regulatory brain structures assessed prior to the pandemic and emotion regulation strategy use during the pandemic were assessed in relation to mental well-being. Varying levels of anxiety and depression were observed. While adaptive emotion regulation strategies were most frequently employed, maladaptive strategies explained the highest variation in anxiety and depression scores. The effectiveness of specific emotion regulation strategies varied. Momentary emotion regulation strategy use mediated the association between cortical thickness in right lateral prefrontal cortex assessed prior to the pandemic and mental health during the pandemic. Early mental health measures impacted later mental well-being. Maladaptive strategies have a negative effect on mental health during prolonged stress as induced by pandemics, providing possible targets for intervention.
Current Status and Perspectives of Allogeneic Hematopoietic Stem Cell Transplantation in Elderly Patients with Acute Myeloid Leukemia
Authors: Servais Sophie , Beguin Yves , Baron Frédéric 
Published: March 2022

Abstract
As in younger patients, allogeneic stem cell transplantation (alloHSCT) offers the best chance for durable remission in older patients (≥60 years) with acute myeloid leukemia (AML). However, defining the best treatment strategy (and in particular, whether or not to proceed to alloHSCT) for elderly patients with AML remains a difficult decision for the hematologist, since potential toxicity of conditioning regimens, risks of graft-versus-host disease, impaired immune reconstitution and the need for prolonged immunosuppression may be of major concern in these vulnerable patients with complex needs. Hopefully, significant progress has been made over the past decade in alloHSCT for elderly patients and current evidence suggests that chronological age per se (between 60 and 75) is not a reliable predictor of outcome after alloHSCT. Here, we review the current state of alloHSCT in elderly patients with AML and also discuss the different approaches currently being investigated to improve both accessibility to as well as success of alloHSCT in these patients.