bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Principle of Merit and the capital-labour split
Authors: von Platz Jeppe 
Published: February 2021

AbstractSome meritocratic defenders of capitalism rely on the principle that cooperators should receive a share of the product commensurate with their contribution. However, such defences of capitalism fail due to a dilemma. Either they rely on an understanding of contribution that arguably will be reflected by the capital-labour split in suitably idealized capitalist economies, but cannot serve as a plausible standard of merit; or they rely on an interpretation of contribution that is a plausible standard of merit, but which won’t tend to be reflected by the capital-labour split in capitalist economies.
Are governments paying a price for austerity? Fiscal consolidations reduce government approval
Authors: Jacques Olivier , Haffert Lukas 
Published: February 2021

AbstractWhat are the political effects of fiscal consolidations? Theoretical considerations suggest that consolidations should reduce the public’s support for their governments, but empirical studies have found surprisingly small effects on government support. However, most of these studies analyze electoral outcomes, which are separated from the consolidation by a multi-link causal chain. We argue that more direct measures of government support, such as executive approval, show much stronger negative effects of consolidation, since they are less affected by the strategic timing of consolidations or the political alternatives on offer. We analyze a time series cross-sectional dataset of executive approval in 14 Organization for Economic Co-operation and Development (OECD) countries from 1978 to 2014, using the narrative approach to measure fiscal consolidations. We find that spending cuts decrease government approval, especially during economic downturns, but tax increases’ impact on approval remains minimal. Finally, left- and right-wing governments are equally likely to lose approval after implementing austerity.
Suicidal Ideation and Behaviors Among Irish Travellers Presenting for Emergency Care
Authors: Tanner Bryan , Doherty Anne M. 
Published: February 2021

Abstract. Background: Suicide is a serious problem in the Traveller community, with rates estimated at 11%: over 6 times that of the general population. Aims: We aimed to establish the prevalence and correlates of suicidal ideation (SI) and self-harm (SH) among Irish Travellers. Method: This was an observational cross-sectional cohort study of patients presenting with SH and SI to a tertiary hospital in Ireland, in an area with a large local Traveller population. Data were analyzed from the anonymized database ( n = 2,016), comparing characteristics of Travellers and the general population. Results: This study found that Travellers (1.6% of the local population) represent 4.3% of the population seen in hospital with SH and SI, and 14.8% of episodes. There was a significant difference in SH methods used: Travellers were significantly more likely to present following attempted hanging ( OR = 21.8; p = .004). Travellers were more commonly diagnosed with depression or substance abuse, referred from critical care, and transferred for inpatient psychiatric treatment. Limitations: Limitations include the use of retrospective data from a service activity database rather than clinical information collected prospectively. Conclusion: There are significant differences in patterns of suicidal behaviors between Irish Travellers and the general population. Further research is required to understand and address the high rates of suicidal behaviors in this population.
Gender Word Semantic Satiation Inhibits Facial Gender Information Processing
Authors: Li Zhao , Zhu Peng , Liu Ying , Jiang Zhongqing 
Published: February 2021

Abstract. In order to explore the time course of the influence of gender words semantic satiation on facial gender information processing, the semantic satiation paradigm was used to induce semantic satiation by presenting Chinese gender words “男, 女 (Male, Female)” for a long duration (25 s), with conjunction words “及(And), 且(Moreover)” served as the baseline (the Chinese words and their English translations do not completely equal in terms of pronunciation, form, and sense). Participants were asked to judge whether the two simultaneously presented faces (Experiment 1) or two successively presented faces (Experiment 2) were of the same gender. The results of Experiment 1 showed that the response time in semantic satiation condition was significantly longer than that of the baseline condition. The event-related potential (ERP) results of Experiment 2 showed that the peak amplitude of P1 component in semantic satiation condition was significantly smaller than that of the baseline condition in the early stage of face processing; N170, a specific component of face perception, in semantic satiation condition was significantly larger than that of the baseline condition. The average amplitude of LPC in semantic satiation condition was significantly smaller than that of the baseline condition. This study shows that facial gender information processing is affected by its semantic contextual information. The inhibition effect of gender word semantic satiation on facial gender information processing starts at the attention orientation stage, then continues to the face structural encoding stage, and eventually ends at the advanced cognitive response stage.
Data Assimilation for Tsunami Forecast With Ship‐Borne GNSS Data in the Cascadia Subduction Zone
Authors: Hossen M. J. , Mulia Iyan E. , Mencin David , Sheehan Anne F. 
Published: February 2021

AbstractAn efficient and cost‐effective near‐field tsunami warning system is crucial for coastal communities. The existing tsunami forecasting system is based on offshore Deep‐Ocean Assessment and Reporting of Tsunamis and Global Navigation Satellite System (GNSS) buoys which are not affordable for many countries. A potential cost‐effective solution is to utilize position data from ships traveling in coastal and offshore regions. In this study, we examine the feasibility of using ship‐borne GNSS data in tsunami forecasting. We carry out synthetic experiments by applying a data assimilation (DA) method with ship position (elevation and velocity) data. Our findings show that the DA method can recover the reference model with high accuracy if a dense network of ship elevation data is used. However, the use of ship velocity data alone is unable to recover the reference model. In addition, we carried out sensitivity studies of the DA method to the ship spatial distribution. We find that a 20 km gap between the ships works well in terms of accuracy and computational time for the example source model that we explored. The highest accuracy is obtained when data from a sufficient number of ships traveling in and around the tsunami source area are available.
Cloud‐Nucleating Particles Over the Southern Ocean in a Changing Climate
Authors: Twohy Cynthia H. , DeMott Paul J. , Russell Lynn M. , Toohey Darin W. , Rainwater Bryan , Geiss Roy , Sanchez Kevin J. , Lewis Savannah , Roberts Gregory C. , Humphries Ruhi S. , McCluskey Christina S. , Moore Kathryn A. , Selleck Paul W. , Keywood Melita D. , Ward Jason P. , McRobert Ian M. 
Published: February 2021

AbstractStratocumulus clouds over the Southern Ocean have fewer droplets and are more likely to exist in the predominately supercooled phase than clouds at similar temperatures over northern oceans. One likely reason is that this region has few continental and anthropogenic sources of cloud‐nucleating particles that can form droplets and ice. In this work, we present an overview of aerosol particle types over the Southern Ocean, including new measurements made below, in and above clouds in this region. These measurements and others indicate that biogenic sulfur‐based particles >0.1 μm diameter contribute the majority of cloud condensation nuclei number concentrations in summer. Ice nucleating particles tend to have more organic components, likely from sea‐spray. Both types of cloud nucleating particles may increase in a warming climate likely to have less sea ice, more phytoplankton activity, and stronger winds over the Southern Ocean near Antarctica. Taken together, clouds over the Southern Ocean may become more reflective and partially counter the region's expected albedo decrease due to diminishing sea ice. However, detailed modeling studies are needed to test this hypothesis due to the complexity of ocean‐cloud‐climate feedbacks in the region.
Disease monitoring with quantitative serum IgA levels provides a more reliable response assessment in multiple myeloma patients
Authors: Visram Alissa , Vaxman Iuliana , S. Al Saleh Abdullah , Parmar Harsh , Dispenzieri Angela , Kapoor Prashant , Lacy Martha Q. , Gertz Morie A. , Buadi Francis K. , Hayman Suzanne R. , Dingli David , Warsame Rahma , Kourelis Taxiarchis , Siddiqui Mustaqeem , Gonsalves Wilson , Muchtar Eli , Lust John A. , Leung Nelson , Kyle Robert A. , Murray David , Rajkumar S. Vincent , Kumar Shaji 
Published: February 2021

AbstractUnlike IgG monoclonal proteins (MCPs), IgA MCP quantification is unreliable due to beta-migration of IgA MCPs on serum protein electrophoresis (SPEP). The utility of nephelometric quantitative IgA (qIgA) to monitor IgA multiple myeloma (MM) is unclear. We retrospectively studied disease response kinetics using qIgA versus MCPs by SPEP, and developed and validated novel qIgA disease assessment criteria in 491 IgA MM patients. The SPEP MCP nadir occurred a median of 41 (IQR 0–102) days before the qIgA. The median time to achieve a partial response (PR) was shorter using standard IMWG versus qIgA response criteria (32 vs 58 days, p < 0.001). Stratification by qIgA criteria, unlike IMWG criteria, led to clear separation of the progression-free survival curves of patients achieving a PR or very good PR. There was a consistent trend toward earlier detection of disease progression using qIgA versus IMWG progression criteria. In conclusion, monitoring IgA MM using MCP-based IMWG criteria may be falsely reassuring, given that MCP levels on SPEP decrease faster than qIgA levels. The qIgA response criteria more accurately stratify patients based on the progression risk and may detect disease progression earlier, which may lead to more consistent measurement of trial endpoints and improved patient outcomes.
Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures
Authors: Sun Lei , Xu Kui , Huang Wenze , Yang Yucheng T. , Li Pan , Tang Lei , Xiong Tuanlin , Zhang Qiangfeng Cliff 
Published: February 2021

AbstractInteractions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, and dynamically reflect specific cellular conditions. However, presently available tools for predicting RBP–RNA interactions employ RNA sequence and/or predicted RNA structures, and therefore do not capture their condition-dependent nature. Here, after profiling transcriptome-wide in vivo RNA secondary structures in seven cell types, we developed PrismNet, a deep learning tool that integrates experimental in vivo RNA structure data and RBP binding data for matched cells to accurately predict dynamic RBP binding in various cellular conditions. PrismNet results for 168 RBPs support its utility for both understanding CLIP-seq results and largely extending such interaction data to accurately analyze additional cell types. Further, PrismNet employs an “attention” strategy to computationally identify exact RBP-binding nucleotides, and we discovered enrichment among dynamic RBP-binding sites for structure-changing variants (riboSNitches), which can link genetic diseases with dysregulated RBP bindings. Our rich profiling data and deep learning-based prediction tool provide access to a previously inaccessible layer of cell-type-specific RBP–RNA interactions, with clear utility for understanding and treating human diseases.
Maternal pre-pregnancy body mass index and foetal acidosis in vaginal and caesarean deliveries: The Japan Environment and Children’s Study
Authors: Murata Tsuyoshi , Kyozuka Hyo , Yamaguchi Akiko , Fukuda Toma , Yasuda Shun , Sato Akiko , Ogata Yuka , Shinoki Kosei , Hosoya Mitsuaki , Yasumura Seiji , Hashimoto Koichi , Nishigori Hidekazu , Fujimori Keiya ,   The Japan Environment and Children’s Study (JECS) Group, Kamijima Michihiro , Yamazaki Shin , Ohya Yukihiro , Kishi Reiko , Yaegashi Nobuo , Mori Chisato , Ito Shuichi , Yamagata Zentaro , Inadera Hidekuni , Nakayama Takeo , Iso Hiroyasu , Shima Masayuki , Kurozawa Youichi , Suganuma Narufumi , Kusuhara Koichi , Katoh Takahiko 
Published: February 2021

AbstractA high maternal body mass index (BMI) is associated with increased risks of asphyxia-related neonatal morbidity. We evaluated the association between maternal pre-pregnancy BMI and foetal acidosis while accounting for the mode of delivery. Participants from the Japan Environment and Children’s Study with singleton pregnancies after 22 weeks of gestation who gave birth during 2011–2014 were included. The participants (n = 71,799) were categorised into five groups according to the pre-pregnancy BMI: G1 (BMI < 18.5 kg/m2), G2 (18.5 to < 20.0 kg/m2), G3 (20.0 to < 23.0 kg/m2), G4 (23.0 to < 25.0 kg/m2), and G5 (≥ 25.0 kg/m2). Foetal acidosis was defined as umbilical artery pH (UmA-pH) < 7.20 or < 7.10. Multiple logistic regression analyses were used to evaluate the effect of pre-pregnancy BMI on foetal acidosis risk, accounting for the mode of delivery. In Japanese women, pre-pregnancy BMI ≥ 25.0 kg/m2 significantly increased the likelihood of foetal acidosis in newborns delivered vaginally. We found no association between pre-pregnancy BMI and foetal acidosis in newborns delivered via caesarean section. Counselling for body weight control before pregnancy and adequate management and selection of the mode of delivery in pregnant women with a high BMI who are in labour may be essential to avoid foetal acidosis.
On the structural connectivity of large-scale models of brain networks at cellular level
Authors: Giacopelli Giuseppe , Tegolo Domenico , Spera Emiliano , Migliore Michele 
Published: February 2021

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the corresponding biological system. To solve this problem, we propose to use a new mathematical framework able to use sparse and limited experimental data to quantitatively reproduce the structural connectivity of biological brain networks at cellular level.
Scenario analysis for programmatic tuberculosis control in Bangladesh: a mathematical modelling study
Authors: Kuddus Md Abdul , Meehan Michael T. , Sayem Md. Abu , McBryde Emma S. 
Published: February 2021

AbstractTuberculosis (TB) is a major public health problem in Bangladesh. Although the National TB control program of Bangladesh is implementing a comprehensive expansion of TB control strategies, logistical challenges exist, and there is significant uncertainty concerning the disease burden. Mathematical modelling of TB is considered one of the most effective ways to understand the dynamics of infection transmission and allows quantification of parameters in different settings, including Bangladesh. In this study, we present a two-strain mathematical modelling framework to explore the dynamics of drug-susceptible (DS) and multidrug-resistant (MDR) TB in Bangladesh. We calibrated the model using DS and MDR-TB annual incidence data from Bangladesh from years 2001 to 2015. Further, we performed a sensitivity analysis of the model parameters and found that the contact rate of both strains had the largest influence on the basic reproduction numbers $${\text{R}}_{{0{\text{s}}}}$$

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of DS and MDR-TB, respectively. Increasingly powerful intervention strategies were developed, with realistic impact and coverage determined with the help of local staff. We simulated for the period from 2020 to 2035. Here, we projected the DS and MDR-TB burden (as measured by the number of incident cases and mortality) under a range of intervention scenarios to determine which of these scenario is the most effective at reducing burden. Of the single-intervention strategies, enhanced case detection is the most effective and prompt in reducing DS and MDR-TB incidence and mortality in Bangladesh and that with GeneXpert testing was also highly effective in decreasing the burden of MDR-TB. Our findings also suggest combining additional interventions simultaneously leads to greater effectiveness, particularly for MDR-TB, which we estimate requires a modest investment to substantially reduce, whereas DS-TB requires a strong sustained investment.
Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch
Authors: Egilmez Halil I. , Morozov Andrew Yu. , Galyov Edouard E. 
Published: February 2021

AbstractWe apply mathematical modelling to explore bacteria-phage interaction mediated by condition-dependent lysogeny, where the type of the phage infection cycle (lytic or lysogenic) is determined by the ambient temperature. In a natural environment, daily and seasonal variations of the temperature cause a frequent switch between the two infection scenarios, making the bacteria-phage interaction with condition-dependent lysogeny highly complex. As a case study, we explore the natural control of the pathogenic bacteria Burkholderia pseudomallei by its dominant phage. B. pseudomallei is the causative agent of melioidosis, which is among the most fatal diseases in Southeast Asia and across the world. We assess the spatial aspect of B. pseudomallei-phage interactions in soil, which has been so far overlooked in the literature, using the reaction-diffusion PDE-based framework with external forcing through daily and seasonal parameter variation. Through extensive computer simulations for realistic biological parameters, we obtain results suggesting that phages may regulate B. pseudomallei numbers across seasons in endemic areas, and that the abundance of highly pathogenic phage-free bacteria shows a clear annual cycle. The model predicts particularly dangerous soil layers characterised by high pathogen densities. Our findings can potentially help refine melioidosis prevention and monitoring practices.
Safety and efficacy of combination of suberoylamilide hydroxyamic acid and mitomycin C in reducing pro-fibrotic changes in human corneal epithelial cells
Authors: Shetty Rohit , Kumar Nimisha Rajiv , Subramani Murali , Krishna Lekshmi , Murugeswari Ponnalagu , Matalia Himanshu , Khamar Pooja , Dadachanji Zelda V. , Mohan Rajiv R. , Ghosh Arkasubhra , Das Debashish 
Published: February 2021

AbstractCorneal haze post refractive surgery is prevented by mitomycin c (MMC) treatment though it can lead to corneal endothelial damage, persistent epithelial defects and necrosis of cells. Suberanilohydroxamic acid (SAHA) however has been proposed to prevent corneal haze without any adverse effects. For clinical application we have investigated the short and long term outcome of cells exposed to SAHA. Human donor cornea, cultured limbal epithelial cells, corneal rims and lenticules were incubated with SAHA and MMC. The cells/tissue was then analyzed by RT-qPCR, immunofluorescence and western blot for markers of apoptosis and fibrosis. The results reveal that short term exposure of SAHA and SAHA + MMC reduced apoptosis levels and increased αSMA expression compared to those treated with MMC. Epithelial cells derived from cultured corneal rim that were incubated with the MMC, SAHA or MMC + SAHA revealed enhanced apoptosis, reduced levels of CK3/CK12, ∆NP63 and COL4A compared to other treatments. In SAHA treated lenticules TGFβ induced fibrosis was reduced. The results imply that MMC treatment for corneal haze has both short term and long term adverse effects on cells and the cellular properties. However, a combinatorial treatment of SAHA + MMC prevents expression of corneal fibrotic markers without causing any adverse effect on cellular properties.
Sublethal concentrations of clothianidin affect honey bee colony growth and hive CO2 concentration
Authors: Meikle William G. , Adamczyk John J. , Weiss Milagra , Ross Janie , Werle Chris , Beren Eli 
Published: February 2021

AbstractThe effects of agricultural pesticide exposure upon honey bee colonies is of increasing interest to beekeepers and researchers, and the impact of neonicotinoid pesticides in particular has come under intense scrutiny. To explore potential colony-level effects of a neonicotinoid pesticide at field-relevant concentrations, honey bee colonies were fed 5- and 20-ppb concentrations of clothianidin in sugar syrup while control colonies were fed unadulterated syrup. Two experiments were conducted in successive years at the same site in southern Arizona, and one in the high rainfall environment of Mississippi. Across all three experiments, adult bee masses were about 21% lower among colonies fed 20-ppb clothianidin than the untreated control group, but no effects of treatment on brood production were observed. Average daily hive weight losses per day in the 5-ppb clothianidin colonies were about 39% lower post-treatment than in the 20-ppb clothianidin colonies, indicating lower consumption and/or better foraging, but the dry weights of newly-emerged adult bees were on average 6–7% lower in the 5-ppb group compared to the other groups, suggesting a nutritional problem in the 5-ppb group. Internal hive CO2 concentration was higher on average in colonies fed 20-ppb clothianidin, which could have resulted from greater CO2 production and/or reduced ventilating activity. Hive temperature average and daily variability were not affected by clothianidin exposure but did differ significantly among trials. Clothianidin was found to be, like imidacloprid, highly stable in honey in the hive environment over several months.
Building resilient medical technology supply chains with a software bill of materials
Authors: Carmody Seth , Coravos Andrea , Fahs Ginny , Hatch Audra , Medina Janine , Woods Beau , Corman Joshua 
Published: February 2021

AbstractAn exploited vulnerability in a single software component of healthcare technology can affect patient care. The risk of including third-party software components in healthcare technologies can be managed, in part, by leveraging a software bill of materials (SBOM). Analogous to an ingredients list on food packaging, an SBOM is a list of all included software components. SBOMs provide a transparency mechanism for securing software product supply chains by enabling faster identification and remediation of vulnerabilities, towards the goal of reducing the feasibility of attacks. SBOMs have the potential to benefit all supply chain stakeholders of medical technologies without significantly increasing software production costs. Increasing transparency unlocks and enables trustworthy, resilient, and safer healthcare technologies for all.