bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fraying at the Edges: A Subsystems/Normative Power Analysis of the EU's “One China Policy/Policies”
Authors: Brown Scott A.W. 
Published: September 2022

AbstractThe European Union's position on “one China” has stood since the establishment of diplomatic relations with the People's Republic of China (PRC) in 1975. As a union of distinct member states, the nature of the European Union's (EU) foreign policymaking complicates efforts to maintain coherent common positions. Its effective “one China policy” (and those of its member states) is no exception. In recent years, the edges of the bloc's long-standing policy have started to fray as the EU–PRC relationship has become more fraught and many member states have sought to deepen their effective, if “unofficial,” engagement with Taiwan. I explore these changes to the EU's effective “one China policy” by employing a subsystems framework, starting from the position that the EU has foreign policies (rather than a singular policy) created through three subsystems. Through the Normative Power Europe lens, I explore the extent to which the actors pulling at these “threads” at the edges of the EU's policy are motivated by normative concerns. I argue that the “fraying” of the EU's “one China policy” is not the result of a conscious decision by the EU as a collective normative actor but stems from shifting preferences within the national and supranational subsystems.
Local pulmonary administration of factor VIIa (rFVIIa) in massive pulmonary haemorrhage in post-operative cardiac infant
Authors: Hamadah Hussam K , Kabbani Mohamed S. 
Published: September 2022

AbstractDiffuse pulmonary haemorrhage is an ominous condition that has a high paediatric mortality rate. Recombinant activated factor VIIa (rFVIIa) is a powerful haemostatic agent which has been used intravenously in life-threatening haemorrhage in variety of conditions in which conventional medical or surgical therapy are unsuccessful. We report off-label successful use of endotracheal rFVIIa for massive life-threatening respiratory haemorrhage following aspiration and cardiopulmonary resuscitation in a 3-month-old infant who was anticoagulated with enoxaparin following corrective cardiac surgery with other comorbidities. Off-label administration of endotracheal rFVIIa permitted rapid safe control of massive pulmonary haemorrhage and prevented further detrimental decline in respiratory function with satisfactory outcome.
LHX6promoter hypermethylation in oncological pediatric patients conceived by IVF
Authors: Dangoni Gustavo Dib , Teixeira Anne Caroline Barbosa , Vince Carolina Sgarioni Camargo , Novak Estela Maria , Gimenez Thamiris Magalhães , Maschietto Mariana , Odone Filho Vicente , Krepischi Ana Cristina Victorino 
Published: September 2022

AbstractThe multifactorial etiology of pediatric cancer is poorly understood. Environmental factors occurring during embryogenesis can disrupt epigenetic signaling, resulting in several diseases after birth, including cancer. Associations between assisted reproductive technologies (ART), such asin vitrofertilization (IVF), and birth defects,imprintingdisorders and other perinatal adverse events have been reported. IVF can result in methylation changes in the offspring, and a link with pediatric cancer has been suggested. In this study, we investigated the peripheral blood methylomes of 11 patients conceived by IVF who developed cancer in childhood. Methylation data of patients and paired sex/aged controls were obtained using the Infinium MethylationEPIC Kit (Illumina). We identified 25 differentially methylated regions (DMRs), 17 of them hypermethylated, and 8 hypomethylated in patients. The most significant DMR was a hypermethylated genomic segment located in the promoter region ofLHX6, a transcription factor involved in the forebrain development and interneuron migration during embryogenesis. An additional control group was included to verify theLHX6methylation status in children with similar cancers who were not conceived by ART. The higherLHX6methylation levels in IVF patients compared to both control groups (healthy children and children conceived naturally who developed similar pediatric cancers), suggested that hypermethylation at theLHX6promoter could be due to the IVF process and not secondary to the cancer itself. Further studies are required to evaluate this association and the potential role ofLHX6promoter hypermethylation for tumorigenesis.
Gas Fluxes and Steady State Saturation Anomalies at Very High Wind Speeds
Authors: Stanley Rachel H. R. , Kinjo Lumi , Smith Andrew W. , Aldrett Danielle , Alt Helene , Kopp Emily , Krevanko Callan , Cahill Kevin , Haus Brian K. 
Published: September 2022

AbstractGas exchange at high wind speeds is not well understood—few studies have been conducted at wind speeds above 20 ms−1 and significant disagreement exists between gas exchange models at high wind speeds. In this study, noble gases (He, Ne, Ar, Kr, and Xe) were measured in 35 experiments in the SUSTAIN wind‐wave tank where the wind speeds ranged from 20 to 50 m s−1 and mechanical waves were generated as monochromatic or with a short‐crested JONSWAP frequency spectrum. Bubble size spectra were determined using shadowgraph imagery and wave statistics were measured using a wave wire array. The steady state saturation anomalies and gas fluxes initially increased as wind speeds increased but then leveled off, similar to prior studies of heat and momentum flux coefficients. Noble gas fluxes and steady state saturation anomalies are correlated most strongly with bubble volumes for the less soluble noble gases and with wind speed and wave Reynolds number for the more soluble noble gases. In the JONSWAP experiments, significant wave height was the most important predictor for gas steady state saturation anomalies with correlation coefficients of greater than 0.92 for He, Ne, and Ar (P < 0.05). Furthermore, invasion fluxes were larger than evasion fluxes when other conditions were similar. Taken together, these lab‐based experiments suggest more attention should be paid to parameterizations based on wave characteristics and bubbles and that current wind‐speed based gas exchange parameterizations should not be applied to conditions with very high wind speeds.
Quantitative Comparison of 3D Pore Space Properties With Magnetic Pore Fabrics—Testing the Ability of Magnetic Methods to Predict Pore Fabrics in Rocks
Authors: Zhou Y. , Pugnetti M. , Foubert A. , Lanari P. , Neururer C. , Biedermann A. R. 
Published: September 2022

AbstractPore fabrics characterize the anisotropy of pore space in rocks and influence the direction of fluid flow. This is important in reservoir characterization, and petroleum and geothermal energy exploitation. X‐ray computed micro‐tomography (XRCT) is commonly used to analyze pore fabrics, but limited by the micron‐scale resolution for representative 1‐inch rock cores. The magnetic pore fabric (MPF) method has been proposed to capture pores down to 10 nm. Although empirical relationships between MPF and pore space properties or permeability anisotropy are available, their application is compromised by large variability. This study integrates He pycnometry and XRCT‐derived pore space models with MPFs, and provides a quantitative comparison for calcarenite (∼50 vol% porosity and complex pore structure), and molasse sandstone (10%–30% porosity and relatively homogeneous pore fabrics). The preferred orientation of pores obtained from XRCT is described by a total shape ellipsoid, calculated by summing the second‐order tensors reflecting the best‐fit ellipsoids of individual pores. This ellipsoid is then compared to the MPF magnitude ellipsoid in terms of fabric orientation, degree and shape of anisotropy. The MPF and total shape ellipsoids are generally coaxial. The MPF has a smaller anisotropy degree than the total shape ellipsoid, and their relationship depends on the ferrofluid properties. The anisotropy shapes show large variability. Nevertheless, the good agreement of principal directions in most samples makes MPFs a valuable and efficient complementary tool to analyze a large number of samples, in combination with XRCT on selected samples, for a field‐scale pore space characterization.
Where and When Does Streamflow Regulation Significantly Affect Climate Change Outcomes in the Columbia River Basin?
Authors: Harrell Jane , Nijssen Bart , Frans Chris 
Published: September 2022

AbstractThe Columbia River basin is a large transboundary basin located in the Pacific Northwest. The basin spans seven US states and one Canadian province, encompassing a diverse range of hydroclimates. Strong seasonality and complex topography are projected to give rise to spatially heterogeneous climate effects on unregulated streamflow. The basin's water resources are economically critical, and regulation across the domain is extensive. Many sensitivity studies have investigated climate impacts on the basin's naturalized hydrology; however, few have considered the large role of regulation. This study investigates where and when regulation affects projected changes in streamflow by comparing climate outcomes across 80‐member ensembles of unregulated and regulated streamflow projections at 75 sites across the basin. Unregulated streamflow projections are taken from an existing data set of climate projections derived from Coupled Model Intercomparison Project version 5 Global Climate Models. Regulated streamflow projections were modeled by the US Army Corps of Engineers and the US Bureau of Reclamation by using these unregulated flows as input to hydro‐regulation models that simulate operations based on current and historical water demands. Regulation dampens shifts in winter and summer streamflow volumes. Regulation generally attenuates changes in cool‐season high flow extremes but amplifies shifts in warm‐season and annual high flow extremes at historically snow‐dominant headwater reservoirs. Regulation reduces dry‐season low flow changes in headwater tributaries where regulation is large but elsewhere has little effect on changes in low flows. Results highlight the importance of accounting for water management in climate sensitivity analysis particularly in snow‐dominant basins.
Quantity or Efficiency: Strategies of Self‐Organized Xerophytic Shrubs to Harvest Rain
Authors: Yuan Chuan , Guo Li , Levia Delphis F. , Rietkerk Max , Fu Bojie , Gao Guangyao 
Published: September 2022

AbstractCanopy structure alters net precipitation inputs, partly governing the quantity of water recharging soil moisture. Clumped and scattered shrublands are structured with aggregated and isolated canopies, respectively, demonstrating contrasting self‐organized patterns. However, the influence of self‐organization on rain harvesting is largely unknown. Hence, we compared rainfall redistribution patterns of different self‐organized shrubs of Vitex negundo and soil moisture responses during the 2020–2021 rainy seasons on the Loess Plateau of China. Our results indicated that the scattered shrubs harvested more throughfall (85.6% vs. 74.7%) and net precipitation (90.8% vs. 83.8%) than clumped shrubs. Comparatively, stemflow of clumped shrubs was initiated (57.2 vs. 60.4 min) and peaked (198.9 vs. 207.7 min) earlier, ceased later (84.4 vs. 54.5 min), lasted longer (8.9 vs. 8.4 hr), transported more swiftly (397.0 vs. 373.8 mm h−1), and yielded a larger quantity (400.8 vs. 355.1 mL), respectively. This flux was funneled more efficiently (160.1 versus 140.5 fold compared to rain), and was more productive (1.768 vs. 1.346 mm g−1) per unit biomass investment. For both self‐organized patterns, more throughfall led to wetter soils, but more stemflow resulted in quicker response of soil moisture. Comparatively, the top‐layer soil moisture remained more stable post rain under clumped shrubs. Therefore, via rainfall partitioning, the scattered organization was conducive for V. negundo to harvest more rain, but the clumped shrubs harvested rain more efficiently. This might relate to morphological adaptations of shrubs to resist drought and consequent formation and maintenance of self‐organizations at the landscape scale.
Diazotrophs are overlooked contributors to carbon and nitrogen export to the deep ocean
Authors: Bonnet Sophie , Benavides Mar , Le Moigne Frédéric A C , Camps Mercedes , Torremocha Antoine , Grosso Olivier , Dimier Céline , Spungin Dina , Berman-Frank Ilana , Garczarek Laurence , Cornejo-Castillo Francisco M 
Published: September 2022

Abstract
Diazotrophs are widespread microorganisms that alleviate nitrogen limitation in 60% of our oceans, thereby regulating marine productivity. Yet, the group-specific contribution of diazotrophs to organic matter export has not been quantified, which so far has impeded an accurate assessment of their impact on the biological carbon pump. Here, we examine the fate of five groups of globally-distributed diazotrophs by using an original combination of mesopelagic particle sampling devices across the subtropical South Pacific Ocean. We demonstrate that cyanobacterial and non-cyanobacterial diazotrophs are exported down to 1000 m depth. Surprisingly, group-specific export turnover rates point to a more efficient export of small unicellular cyanobacterial diazotrophs (UCYN) relative to the larger and filamentous Trichodesmium. Phycoerythrin-containing UCYN-B and UCYN-C-like cells were recurrently found embedded in large (&gt;50 µm) organic aggregates or organized into clusters of tens to hundreds of cells linked by an extracellular matrix, presumably facilitating their export. Beyond the South Pacific, our data are supported by analysis of the Tara Oceans metagenomes collected in other ocean basins, extending the scope of our results globally. We show that, when diazotrophs are found in the euphotic zone, they are also systematically present in mesopelagic waters, suggesting their transport to the deep ocean. We thus conclude that diazotrophs are a significant part of the carbon sequestered in the deep ocean and, therefore, they need to be accounted in regional and global estimates of export.
A neuro-computational account of procrastination behavior
Authors: Le Bouc Raphaël , Pessiglione Mathias 
Published: September 2022

AbstractHumans procrastinate despite being aware of potential adverse consequences. Yet, the neuro-computational mechanisms underlying procrastination remain poorly understood. Here, we use fMRI during intertemporal choice to inform a computational model that predicts procrastination behavior in independent tests. Procrastination is assessed in the laboratory as the preference for performing an effortful task on the next day as opposed to immediately, and at home as the delay taken in returning completed administrative forms. These procrastination behaviors are respectively modeled as unitary and repeated decisions to postpone a task until the next time step, based on a net expected value that integrates reward and effort attributes, both discounted with delay. The key feature that is associated with procrastination behavior across individuals (both in-lab and at-home) is the extent to which the expected effort cost (signaled by the dorsomedial prefrontal cortex) is attenuated by the delay before task completion. Thus, procrastination might stem from a cognitive bias that would make doing a task later (compared to now) appear as much less effortful but not much less rewarding.
Single cell atlas of spinal cord injury in mice reveals a pro-regenerative signature in spinocerebellar neurons
Authors: Matson Kaya J. E. , Russ Daniel E. , Kathe Claudia , Hua Isabelle , Maric Dragan , Ding Yi , Krynitsky Jonathan , Pursley Randall , Sathyamurthy Anupama , Squair Jordan W. , Levi Boaz P. , Courtine Gregoire , Levine Ariel J. 
Published: September 2022

AbstractAfter spinal cord injury, tissue distal to the lesion contains undamaged cells that could support or augment recovery. Targeting these cells requires a clearer understanding of their injury responses and capacity for repair. Here, we use single nucleus RNA sequencing to profile how each cell type in the lumbar spinal cord changes after a thoracic injury in mice. We present an atlas of these dynamic responses across dozens of cell types in the acute, subacute, and chronically injured spinal cord. Using this resource, we find rare spinal neurons that express a signature of regeneration in response to injury, including a major population that represent spinocerebellar projection neurons. We characterize these cells anatomically and observed axonal sparing, outgrowth, and remodeling in the spinal cord and cerebellum. Together, this work provides a key resource for studying cellular responses to injury and uncovers the spontaneous plasticity of spinocerebellar neurons, uncovering a potential candidate for targeted therapy.
Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction
Authors: Aguirre-Tamaral Adrián , Cambón Manuel , Poyato David , Soler Juan , Guerrero Isabel 
Published: September 2022

AbstractDuring embryonic development, cell-cell communication is crucial to coordinate cell behavior, especially in the generation of differentiation patterns via morphogen gradients. Morphogens are signaling molecules secreted by a source of cells that elicit concentration-dependent responses in target cells. For several morphogens, cell-cell contact via filopodia-like-structures (cytonemes) has been proposed as a mechanism for their gradient formation. Despite of the advances on cytoneme signaling, little is known about how cytonemes navigate through the extracellular matrix and how they orient to find their target. For the Hedgehog (Hh) signaling pathway in Drosophila, Hh co-receptor and adhesion protein Interference hedgehog (Ihog) and the glypicans Dally and Dally-like-protein (Dlp) interact affecting the cytoneme behavior. Here, we describe that differences in the cytoneme stabilization and orientation depend on the relative levels of Ihog and glypicans, suggesting a mechanism for cytoneme guidance. Furthermore, we have developed a mathematical model to study and corroborate this cytoneme guiding mechanism.
Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning
Authors: Falet Jean-Pierre R. , Durso-Finley Joshua , Nichyporuk Brennan , Schroeter Julien , Bovis Francesca , Sormani Maria-Pia , Precup Doina , Arbel Tal , Arnold Douglas Lorne 
Published: September 2022

AbstractDisability progression in multiple sclerosis remains resistant to treatment. The absence of a suitable biomarker to allow for phase 2 clinical trials presents a high barrier for drug development. We propose to enable short proof-of-concept trials by increasing statistical power using a deep-learning predictive enrichment strategy. Specifically, a multi-headed multilayer perceptron is used to estimate the conditional average treatment effect (CATE) using baseline clinical and imaging features, and patients predicted to be most responsive are preferentially randomized into a trial. Leveraging data from six randomized clinical trials (n = 3,830), we first pre-trained the model on the subset of relapsing-remitting MS patients (n = 2,520), then fine-tuned it on a subset of primary progressive MS (PPMS) patients (n = 695). In a separate held-out test set of PPMS patients randomized to anti-CD20 antibodies or placebo (n = 297), the average treatment effect was larger for the 50% (HR, 0.492; 95% CI, 0.266-0.912; p = 0.0218) and 30% (HR, 0.361; 95% CI, 0.165-0.79; p = 0.008) predicted to be most responsive, compared to 0.743 (95% CI, 0.482-1.15; p = 0.179) for the entire group. The same model could also identify responders to laquinimod in another held-out test set of PPMS patients (n = 318). Finally, we show that using this model for predictive enrichment results in important increases in power.
USP14 promotes tryptophan metabolism and immune suppression by stabilizing IDO1 in colorectal cancer
Authors: Shi Dongni , Wu Xianqiu , Jian Yunting , Wang Junye , Huang Chengmei , Mo Shuang , Li Yue , Li Fengtian , Zhang Chao , Zhang Dongsheng , Zhang Huizhong , Huang Huilin , Chen Xin , Wang Y. Alan , Lin Chuyong , Liu Guozhen , Song Libing , Liao Wenting 
Published: September 2022

AbstractIndoleamine 2,3 dioxygenase 1 (IDO1) is an attractive target for cancer immunotherapy. However, IDO1 inhibitors have shown disappointing therapeutic efficacy in clinical trials, mainly because of the activation of the aryl hydrocarbon receptor (AhR). Here, we show a post-transcriptional regulatory mechanism of IDO1 regulated by a proteasome-associated deubiquitinating enzyme, USP14, in colorectal cancer (CRC). Overexpression of USP14 promotes tryptophan metabolism and T-cell dysfunction by stabilizing the IDO1 protein. Knockdown of USP14 or pharmacological targeting of USP14 decreases IDO1 expression, reverses suppression of cytotoxic T cells, and increases responsiveness to anti-PD-1 in a MC38 syngeneic mouse model. Importantly, suppression of USP14 has no effects on AhR activation induced by the IDO1 inhibitor. These findings highlight a relevant role of USP14 in post-translational regulation of IDO1 and in the suppression of antitumor immunity, suggesting that inhibition of USP14 may represent a promising strategy for CRC immunotherapy.
Genetic analysis of seed traits in Sorghum bicolor that affect the human gut microbiome
Authors: Yang Qinnan , Van Haute Mallory , Korth Nate , Sattler Scott E. , Toy John , Rose Devin J. , Schnable James C. , Benson Andrew K. 
Published: September 2022

AbstractPrebiotic fibers, polyphenols and other molecular components of food crops significantly affect the composition and function of the human gut microbiome and human health. The abundance of these, frequently uncharacterized, microbiome-active components vary within individual crop species. Here, we employ high throughput in vitro fermentations of pre-digested grain using a human microbiome to identify segregating genetic loci in a food crop, sorghum, that alter the composition and function of human gut microbes. Evaluating grain produced by 294 sorghum recombinant inbreds identifies 10 loci in the sorghum genome associated with variation in the abundance of microbial taxa and/or microbial metabolites. Two loci co-localize with sorghum genes regulating the biosynthesis of condensed tannins. We validate that condensed tannins stimulate the growth of microbes associated with these two loci. Our work illustrates the potential for genetic analysis to systematically discover and characterize molecular components of food crops that influence the human gut microbiome.
Palladium-catalyzed asymmetric allylic 4-pyridinylation via electroreductive substitution reaction
Authors: Ding Weijie , Li Mengfan , Fan Jinkun , Cheng Xu 
Published: September 2022

AbstractThe enantioselective pyridinylation is important for providing chiral compounds bearing heterocycles of pharmaceutical interests. 4-CN-pyrinde is extensively applied in the radical pyridinylation reaction, however, its’ enantioselective application is highly challenging. To achieve this goal, we propose an electrochemical catalytic activation of 4-CN-pyridine with a chiral transition metal complex instead of direct cathodic reduction. The chiral catalyst acts as the electron mediator and the transition metal catalysis in turn. The radical species from 4-CN-pyridine is captured via radical rebound by chiral catalyst, and undergoes enantioselective pyridinylation reaction. Here, we show the first method for catalytic asymmetric allylic 4-pyridinylation reactions using 4-CN-pyridine under electrochemical conditions.