bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Discrete Density Approach to Bayesian Quantile and Expectile Regression with Discrete Responses
Authors: Liu Xi , Hu Xueping , Yu Keming 
Published: July 2021

AbstractFor decades, regression models beyond the mean for continuous responses have attracted great attention in the literature. These models typically include quantile regression and expectile regression. But there is little research on these regression models for discrete responses, particularly from a Bayesian perspective. By forming the likelihood function based on suitable discrete probability mass functions, this paper introduces a discrete density approach for Bayesian inference of these regression models with discrete responses. Bayesian quantile regression for discrete responses is first developed, and then this method is extended to Bayesian expectile regression for discrete responses. The posterior distribution under this approach is shown not only coherent irrespective of the true distribution of the response, but also proper with regarding to improper priors for the unknown model parameters. The performance of the method is evaluated via extensive Monte Carlo simulation studies and one real data analysis.
Corporate financialization’s conservation and transformation: from Mark I to Mark II
Authors: Auvray Tristan , Durand Cédric , Rabinovich Joel , Rikap Cecilia 
Published: July 2021

AbstractThis paper argues that, as far as the investment behavior of non-financial corporations is concerned, the apparent continuity over the last four decades suggested by the corporate financialization label is misleading. Indeed, while the disconnection between profitability and investment is a robust stylized fact for most of the period, with cumulative detrimental consequences for labor, we contend that the underlying mechanisms changed meaningfully at the turn of the millennium. This contribution identifies—empirically and theoretically—two distinct successive corporate financialization regimes (Mark I and Mark II) and explains their evolutionary articulation. Financialization Mark I is characterized by the empowerment of financial actors: in a context of high interest rates and full-blown liberalization, diminishing retained earnings by non-financial corporations resulted in a dramatic slowdown of investment. Contrastingly, Financialization Mark II is characterized by a strongly established financial hegemony with new forms of intellectual and financial monopoly. In this configuration, interest rates are low and global value chains are deeply seated. This fuels rampant deflationary pressure, which changes the overall dynamic of the profit-investment nexus. Then, in Financialization Mark II, contrary to what occurred during Financialization Mark I, distributed profits are the consequence of slow investment.
AIAP: A Quality Control and Integrative Analysis Package to Improve ATAC-Seq Data Analysis
Authors: Liu Shaopeng , Li Daofeng , Lyu Cheng , Gontarz Paul M. , Miao Benpeng , Madden Pamela A.F. , Wang Ting , Zhang Bo 
Published: July 2021

Abstract
Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) is a technique widely used to investigate genome-wide chromatin accessibility. The recently published Omni-ATAC-seq protocol substantially improves the signal/noise ratio and reduces the input cell number. High-quality data are critical to ensure accurate analysis. Several tools have been developed for assessing sequencing quality and insertion size distribution for ATAC-seq data; however, key quality control (QC) metrics have not yet been established to accurately determine the quality of ATAC-seq data. Here, we optimized the analysis strategy for ATAC-seq and defined a series of QC metrics for ATAC-seq data, including reads under peak ratio (RUPr), background (BG), promoter enrichment (ProEn), subsampling enrichment (SubEn), and other measurements. We incorporated these QC tests into our recently developed ATAC-seq Integrative Analysis Package (AIAP) to provide a complete ATAC-seq analysis system, including quality assurance, improved peak calling, and downstream differential analysis. We demonstrated a significant improvement of sensitivity (20%–60%) in both peak calling and differential analysis by processing paired-end ATAC-seq datasets using AIAP. AIAP is compiled into Docker/Singularity, and it can be executed by one command line to generate a comprehensive QC report. We used ENCODE ATAC-seq data to benchmark and generate QC recommendations, and developed qATACViewer for the user-friendly interaction with the QC report. The software, source code, and documentation of AIAP are freely available at https://github.com/Zhang-lab/ATAC-seq_QC_analysis.
The treatment of streptococcal tonsillitis/pharyngitis in young children
Authors: Norton Laura , Myers Angela 
Published: July 2021

Pharyngitis is common in children, accounting for nearly 12 million visits annually in the United States. Streptococcus pyogenes or group A streptococcus (GAS) is the most common bacterial cause of pharyngitis for which antibiotics are indicated. Antibiotic treatment of streptococcal pharyngitis virtually eliminates the presence of bacteria from the pharynx and thus removes the risk of subsequent rheumatic fever. GAS is spread from person to person via respiratory droplets with a short incubation period of 2∼5 days. GAS pharyngitis peaks in the late winter and early spring months when children are predominately indoors for school and sports. Colonization is also higher in winter months, and while up to 20% of school age children are colonized with GAS in their throat during this time, colonization has not been shown to contribute to the spread of disease. In low‐ and middle‐income countries and other situations in which crowding is common (e.g., schools), outbreaks of pharyngitis are common. GAS pharyngitis can occur at all ages and it is most common in school‐aged children with a peak at 7∼8 years of age. Pharyngitis caused by GAS is rare in children <3 years of age and becomes much less common in late adolescence through adulthood.
Epistemic vice predicts acceptance of Covid-19 misinformation
Authors: Meyer Marco , Alfano Mark , de Bruin Boudewijn 
Published: July 2021

AbstractWhy are mistaken beliefs about COVID-19 so prevalent? Political identity, education and other demographic variables explain only part of the differences between people in their susceptibility to COVID-19 misinformation. This paper focuses on another explanation: epistemic vice. Epistemic vices are character traits that interfere with acquiring, maintaining, and transmitting knowledge. If the basic assumption of vice epistemology is right, then people with epistemic vices such as indifference to the truth or rigidity in their belief structures will tend to be more susceptible to believing COVID-19 misinformation. We carried out an observational study (US adult sample, n = 998) in which we measured the level of epistemic vice of participants using a novel Epistemic Vice Scale that captures features of the current competing analyses of epistemic vice in the literature. We also asked participants questions eliciting the extent to which they subscribe to myths and misinformation about COVID-19. We find overwhelming evidence to the effect that epistemic vice is associated with susceptibility to COVID-19 misinformation. In fact, the association turns out to be stronger than with political identity, educational attainment, scores on the Cognitive Reflection Test, personality, dogmatism, and need for closure. We conclude that this offers evidence in favor of the empirical presuppositions of vice epistemology.
Utilizing phase-shifted long-period fiber grating to suppress spectral broadening of a high-power fiber MOPA laser system
Authors: Bian Yinxu , Jiao Kerong , Wu Xuecheng , Shen Hua , Yang Feiyan , Zhu Rihong 
Published: July 2021

Abstract
Suppressing nonlinear effects in high-power fiber lasers based on fiber gratings has become a hotspot. At present, research is mainly focused on suppressing stimulated Raman scattering in a high-power fiber laser. However, the suppression of spectral broadening, caused by self-phase modulation or four-wave mixing, is still a challenging attribute to the close distance between the broadened laser and signal laser. If using a traditional fiber grating with only one stopband to suppress the spectral broadening, the signal power will be stripped simultaneously. Confronting this challenge, we propose a novel method based on phase-shifted long-period fiber grating (PS-LPFG) to suppress spectral broadening in a high-power fiber master oscillator power amplifier (MOPA) laser system in this paper. A PS-LPFG is designed and fabricated on 10/130 passive fiber utilizing a point-by-point scanning technique. The resonant wavelength of the fabricated PS-LPFG is 1080 nm, the full width at half maximum of the passband is 5.48 nm, and stopband extinction exceeds 90%. To evaluate the performance of the PS-LPFG, the grating is inserted into the seed of a kilowatt-level continuous-wave MOPA system. Experiment results show that the 30 dB linewidth of the output spectrum is narrowed by approximately 37.97%, providing an effective and flexible way for optimizing the output linewidth of high-power fiber MOPA laser systems.
OnCallavia(Trilobita) from the Cambrian Series 2 of Iberia with systematic status of the genus
Authors: Collantes Luis , Pereira Sofia , Mayoral Eduardo , Liñán Eladio , Gozalo Rodolfo 
Published: July 2021

AbstractOlenellid trilobites from the lower Cambrian of the Iberian Peninsula are very scarce and poorly studied, making them difficult to compare with defined species and to include in biostratigraphic and paleobiogeographic analyses. Based on newly collected specimens, we revise the species ‘Callavia?lotzei’ Richter and Richter, 1941 from the ‘Cumbres beds’ of Cumbres de San Bartolomé and the ‘Herrerías shale’ of Cañaveral de León, Sierra del Bujo, and Hinojales (Huelva, Spain), and ‘Paradoxides choffati’ Delgado, 1904 from the Vila Boim Formation of Elvas (Portugal). The new material indicates thatCallavia?lotzeiis a junior synonym of ‘P. choffati.’ The Iberian species are here assigned toCallaviaMatthew, 1897, for which morphological characters are reassessed, offering a valuable opportunity to discuss characters previously misinterpreted for this genus. Traditionally assigned to the Olenelloidea Walcott, 1890,Callavialacks some of the diagnostic characters of this superfamily and is here assigned to Judomioidea Repina, 1979. A new diagnosis for this genus is provided, andSdzuyomiaLieberman, 2001 is considered to represent a junior synonym ofCallavia. The genusCallaviais distributed across the western margin of Gondwana, from the western Mediterranean region (Iberia and Morocco) throughout all the Avalonia sectors (UK, eastern Newfoundland, and Massachusetts). Its presence in Iberia supports the faunal links between the West Gondwana domain and Avalonia during Cambrian Series 2. The Iberian records ofCallavia choffatiare assigned to the middle part of the regional Marianian Stage (uppermost Cambrian Stage 3 to the lowermost Cambrian Stage 4) and correlates with theCallaviaBiozone of Avalonia (lower Branchian Series).
How corruption investigations undermine regime support: evidence from China
Authors: Wang Yuhua , Dickson Bruce J. 
Published: July 2021

AbstractAuthoritarian leaders around the world often fight against corruption in an effort to win public support. Conventional wisdom holds that this strategy works because leaders can signal their benevolent intentions by removing corrupt officials. We argue that fighting against corruption can undermine regime support. By revealing scandals of corrupt officials, corruption investigations can alter citizens' beliefs about public officials and lead to disenchantment about political institutions. We test this argument by examining how China's current anti-corruption campaign has changed citizens' public support for the government and the Communist Party. We analyze the results of two original surveys conducted before and during the campaign, and employ a difference-in-differences strategy to show that corruption investigations, at the margin, suppress respondents' support for the central government and party. We also examine our respondents' prior and posterior beliefs, and the results support our updating mechanism.
Politicians unleashed? Political communication on Twitter and in parliament in Western Europe
Authors: Castanho Silva Bruno , Proksch Sven-Oliver 
Published: July 2021

AbstractTwitter is a prominent communication tool for politicians with two potential uses: as a “substitute” channel to circumvent constraints from other political arenas, or as an “amplifier” that reinforces party messages. Using a novel dataset containing tweets and parliamentary speeches by members of parliament (MPs) in seven countries, we estimate politicians’ positions and intra-party dissent on European integration. We find that MPs’ sentiment about Europe on Twitter is a valid measure of their party's position, while also uncovering intra-party disagreements. Our results suggest that most MPs amplify the partisan message, but MPs who participate less in parliamentary debate tend to have larger differences with their party on Twitter. Social media thus can free politicians from their party's grip.
Can political speech foster tolerance of immigrants?
Authors: Schleiter Petra , Tavits Margit , Ward Dalston 
Published: July 2021

AbstractPoliticians frequently use political speech to foster hostility toward immigrants, a strategy that shapes political preferences and behavior and feeds the success of the populist right. Whether political speech can be used to foster tolerance of immigrants, however, remains unexplored. We identify three mechanisms by which political speech could increase tolerance: (1) stressing in-group conceptions that highlight commonalities with immigrants; (2) emphasizing inclusiveness as an in-group norm; and (3) providing information that counters anti-immigrant stereotypes. Using quotes from US politicians in two survey experiments, we find that pro-immigrant speech that stresses inclusive norms or counters negative stereotypes about immigrants leads to more tolerant attitudes (but not behavior) toward immigrants. These effects are small and detectable only in large samples.
Estimating latent traits from expert surveys: an analysis of sensitivity to data-generating process
Authors: Marquardt Kyle L. , Pemstein Daniel 
Published: July 2021

AbstractModels for converting expert-coded data to estimates of latent concepts assume different data-generating processes (DGPs). In this paper, we simulate ecologically valid data according to different assumptions, and examine the degree to which common methods for aggregating expert-coded data (1) recover true values and (2) construct appropriate coverage intervals. We find that the mean and both hierarchical Aldrich–McKelvey (A–M) scaling and hierarchical item-response theory (IRT) models perform similarly when expert error is low; the hierarchical latent variable models (A-M and IRT) outperform the mean when expert error is high. Hierarchical A–M and IRT models generally perform similarly, although IRT models are often more likely to include true values within their coverage intervals. The median and non-hierarchical latent variable models perform poorly under most assumed DGPs.
Detecting anomalies in data on government violence
Authors: Bond Kanisha D. , Conrad Courtenay R. , Moses Dylan , Simmons Joel W. 
Published: July 2021

AbstractCan data on government coercion and violence be trusted when the data are generated by state itself? In this paper, we investigate the extent to which data from the California Department of Corrections and Rehabilitation (CDCR) regarding the use of force by corrections officers against prison inmates between 2008 and 2017 conform to Benford's Law. Following a growing data forensics literature, we expect misreporting of the use-of-force in California state prisons to cause the observed data to deviate from Benford's distribution. Statistical hypothesis tests and further investigation of CDCR data—which show both temporal and cross-sectional variance in conformity with Benford's Law—are consistent with misreporting of the use-of-force by the CDCR. Our results suggest that data on government coercion generated by the state should be inspected carefully before being used to test hypotheses or make policy.
Misattributed blame? Attitudes toward globalization in the age of automation
Authors: Wu Nicole 
Published: July 2021

AbstractMany, especially low-skilled workers, blame globalization for their economic woes. Robots and machines, which have led to job market polarization, rising income inequality, and labor displacement, are often viewed much more forgivingly. This paper argues that citizens have a tendency to misattribute blame for economic dislocations toward immigrants and workers abroad, while discounting the effects of technology. Using the 2016 American National Elections Studies, a nationally representative survey, I show that workers facing higher risks of automation are more likely to oppose free trade agreements and favor immigration restrictions, even controlling for standard explanations for these attitudes. Although pocket-book concerns do influence attitudes toward globalization, this study calls into question the standard assumption that individuals understand and can correctly identify the sources of their economic anxieties. Accelerated automation may have intensified attempts to resist globalization.
AGPAT3 Gene polymorphisms are associated with milk production traits in Chinese Holstein cows
Authors: Sun Xiaomei , Liang Yan , Gao Qisong , Guo Jiahe , Tang Cheng , Shi Kerong , Yang Zhangping , Mao Yongjiang 
Published: July 2021

AbstractThe current study reports the identification of previously undiscovered single-nucleotide polymorphisms (SNPs) in the bovineAGPAT3gene and further investigates their associations with milk production traits. Our results demonstrate that the major allele C of the SNP g.12264 C > T is positively correlated with test-day milk yield, protein percentage and 305-day milk yield. Importantly,in silicoanalysis showed that the C/T transition at this locus gives rise to two new transcription factor binding sites (TFBS), E2F1 and Nkx3-2. Polymorphism g.18658 G > A was the only SNP associated with milk urea nitrogen (MUN) with the G allele related to an increase in milk urea nitrogen as well as fat percentage. The GG genotype of SNP g.28731 A > G was associated with the highest fat and protein percentage and lowest 305-day milk yield and somatic cell score (SCS). The association betweenAGPAT3locus and milk production traits could be utilized in marker-assisted selection for the genetic improvement of milk production traits and, probably in conjunction with other traits, for selection to improve fitness of dairy cattle.
Interdependence between L1 and L2: The case of Syrian children with refugee backgrounds in Canada and the Netherlands
Authors: Blom Elma , Soto-Corominas Adriana , Attar Zahraa , Daskalaki Evangelia , Paradis Johanne 
Published: July 2021

AbstractChildren who are refugees become bilingual in circumstances that are often challenging and that can vary across national contexts. We investigated the second language (L2) syntactic skills of Syrian children aged 6-12 living in Canada (n = 56) and the Netherlands (n = 47). Our goal was to establish the impact of the first language (L1 = Syrian Arabic) skills on L2 (English, Dutch) outcomes and whether L1–L2 interdependence is influenced by the length of L2 exposure. To measure L1 and L2 syntactic skills, cross-linguistic Litmus Sentence Repetition Tasks (Litmus-SRTs) were used. Results showed evidence of L1–L2 interdependence, but interdependence may only surface after sufficient L2 exposure. Maternal education level and refugee camp experiences differed between the two samples. Both variables impacted L2 outcomes in the Canadian but not in the Dutch sample, demonstrating the importance to examine refugee children’s bilingual language development in different national contexts.
Considering and communicating uncertainty in health technology assessment
Authors: Trowman Rebecca , Powers Alicia , Ollendorf Daniel A. 
Published: July 2021

AbstractAs health technology assessment (HTA) seeks to combine complex sets of evidence, values, and perspectives to support open, accountable, and transparent decision making, uncertainty is inherent. Uncertainty is present in the clinical and economic inputs that inform HTA and is a critical factor during context-specific deliberations where the evidence is weighed and decisions are made, taking uncertainty into account through either financial or evidence-generation mechanisms. The presence and impact of uncertainty must also be communicated to all relevant stakeholders during the HTA output stage. This article summarizes the 2021 HTAi Global Policy Forum discussion on “Considering and Communicating Uncertainty in HTA” that debated some of the key challenges and opportunities regarding uncertainty in HTA. Through a combination of small and large group discussions, core themes related to the topic of uncertainty in HTA were identified. These discussions revealed that: utilization of a life cycle/HTA management approach helps manage uncertainty; genuine stakeholder input and engagement (and not just consultation) can clarify uncertainty; tolerance of risk, the relationship of risk to uncertainty, and the context in which uncertainty is considered is critical; transparent and early dialogues could be increased to further reduce the uncertainty during HTA; and communicating uncertainty in HTA outputs is critical. The paper ends with suggested next steps that HTA agencies and stakeholders (such as industry, patients, regulators, payers, and others) might take to move the field forward. The paper promotes further discussion on aspects of uncertainty that should be more openly discussed, debated, and addressed.
Effect of Mosses on physical and chemical properties of soil in temperate forests of Garhwal Himalayas
Authors: Siwach Anshu , Kaushal Siddhartha , Baishya Ratul 
Published: July 2021

AbstractMosses are one of the most important and dominant plant communities, especially in the temperate biome, and play a significant role in ecosystem function and dynamics. They influence the water, energy and element cycle due to their unique ecology and physiology. The present study was undertaken in three different temperate forest sites in the Garhwal Himalayas, viz., Triyuginarayan (Kedarnath Wildlife Sanctuary (KWLS)), Chakrata, and Kanasar forest range. The study was focused on understanding the influence of mosses on soil physical properties and nutrient availability. Different physico-chemical properties were analysed under two different substrata, that is, with and without moss cover in two different seasons, viz., monsoon and winter. We observed mosses to influence and alter the physical properties and nutrient status of soil in both seasons. All soil physical and chemical properties, except magnesium, showed significant difference within the substrates, among all the sites and across the two seasons. Besides the soil characteristics underneath the moss vegetation, the study also highlights the diversity of mosses found in the area. Mosses appear to create high nutrient microsites via a high rate of organic matter accumulation and retain nutrients for longer periods thus, maintaining ecosystem stability.