bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early-life environment and human capital: evidence from the Philippines
Authors: Peet Evan D. 
Published: June 2020

AbstractThis study examines how human capital develops in response to early-life weather and pollution exposures in the Philippines. Both pollution and weather are examined in relation to short- and long-term human capital outcomes. We combine a three-decade longitudinal survey measuring human capital development, a database of historical weather, and multiple databases characterizing carbon monoxide and ozone in the Philippines during the 1980s. We find evidence that extreme precipitation and temperature affect short-term anthropometric outcomes, but long-term outcomes appear unaffected. For long-term cognitive outcomes, we find that early-life pollution exposures negatively affect test scores and schooling. These long-term responses to early-life pollution exposures extend to the labor market with reduced hours worked and earnings. The implication is that a 25 per cent reduction in early-life ozone exposure would increase per person discounted lifetime earnings by $1,367, which would scale to $2.05 billion at the national level (or 2 per cent of 2005 GDP).
Demographic, spatial and temporal dietary intake patterns among 526 774 23andMe research participants
Authors: Shelton Janie F , Cameron Briana , Aslibekyan Stella ,   23andMe Research Team, Gentleman Robert 
Published: June 2020

AbstractObjective:To characterise dietary habits, their temporal and spatial patterns and associations with BMI in the 23andMe study population.Design:We present a large-scale cross-sectional analysis of self-reported dietary intake data derived from the web-based National Health and Nutrition Examination Survey 2009–2010 dietary screener. Survey-weighted estimates for each food item were characterised by age, sex, race/ethnicity, education and BMI. Temporal patterns were plotted over a 2-year time period, and average consumption for select food items was mapped by state. Finally, dietary intake variables were tested for association with BMI.Setting:US-based adults 20–85 years of age participating in the 23andMe research programme.Participants:Participants were 23andMe customers who consented to participate in research (n 526 774) and completed web-based surveys on demographic and dietary habits.Results:Survey-weighted estimates show very few participants met federal recommendations for fruit: 2·6 %, vegetables: 5·9 % and dairy intake: 2·8 %. Between 2017 and 2019, fruit, vegetables and milk intake frequency declined, while total dairy remained stable and added sugars increased. Seasonal patterns in reporting were most pronounced for ice cream, chocolate, fruits and vegetables. Dietary habits varied across the USA, with higher intake of sugar and energy dense foods characterising areas with higher average BMI. In multivariate-adjusted models, BMI was directly associated with the intake of processed meat, red meat, dairy and inversely associated with consumption of fruit, vegetables and whole grains.Conclusions:23andMe research participants have created an opportunity for rapid, large-scale, real-time nutritional data collection, informing demographic, seasonal and spatial patterns with broad geographical coverage across the USA.
The Harp, the Lied and Ossianic Narratives in Massenet'sWerther
Authors: Franke Matthew 
Published: June 2020

The climactic scene in Massenet's operaWerther– as in Goethe's novella – occurs when Werther reads a poem by Ossian. The air resembles a German lied, with a rippling harp accompaniment that may be a reference to other Ossianic settings. Steven Huebner has suggested that the lied reference is meant to create a sense of German local colour in the opera. However, little work has been done to explain why Massenet would have chosen to set an Ossianic text in the style of a German lied.The current article addresses this question by considering the references to specific German lieder by Schumann and Schubert heard by early critics in the Ossian reading. The subsequent discussion explores the French reception of German lieder and Massenet's personal knowledge of Schubert and Schumann's music. These references to Schumann, Schubert and Ossian expose a complex set of intertextual relationships between Massenet's opera and other Ossianic music, the characters in Massenet's opera and their milieu, and Massenet's depiction of German music and culture.Despite Huebner's well-chosen criticisms of Massenet's depiction of the German setting, I argue that the lied and its harp accompaniment are dramatically meaningful gestures that highlight Werther's Ossianic character arc throughout the opera, hinting at his sentimentality, weakness, and non-normative masculinity in relation to nineteenth-century gender stereotypes. This interpretation, following Massenet's own account of the opera's genesis, prioritizes the Ossian reading as the crux of the drama. The resulting analysis demonstrates the audible influence of Schumann and Schubert on Werther, and Massenet's musical approach to the Ossianic tropes of nature, decay and fate.
LINGUA CHARACTERICAANDCALCULUS RATIOCINATOR: THE LEIBNIZIAN BACKGROUND OF THE FREGE-SCHRÖDER POLEMIC
Authors: MILLÁN JOAN BERTRAN-SAN 
Published: June 2020

AbstractAfter the publication ofBegriffsschrift, a conflict erupted between Frege and Schröder regarding their respective logical systems which emerged around the Leibnizian notions oflingua charactericaandcalculus ratiocinator. Both of them claimed their own logic to be a better realisation of Leibniz’s ideal language and considered the rival system a merecalculus ratiocinator. Inspired by this polemic, van Heijenoort (1967b) distinguished two conceptions of logic—logic as language and logic as calculus—and presented them as opposing views, but did not explain Frege’s and Schröder’s conceptions of the fulfilment of Leibniz’s scientific ideal.In this paper I explain the reasons for Frege’s and Schröder’s mutual accusations of having created a merecalculus ratiocinator. On the one hand, Schröder’s construction of the algebra of relatives fits with a project for the reduction of any mathematical concept to the notion of relative. From this stance I argue that he deemed the formal system ofBegriffsschriftincapable of such a reduction. On the other hand, first I argue that Frege took Boolean logic to be an abstract logical theory inadequate for the rendering of specific content; then I claim that the language ofBegriffsschriftdid not constitute a completelingua charactericaby itself, more being seen by Frege as a tool that could be applied to scientific disciplines. Accordingly, I argue that Frege’s project of constructing alingua charactericawas not tied to his later logicist programme.
NON-WELL-FOUNDED PROOFS FOR THE GRZEGORCZYK MODAL LOGIC
Authors: SAVATEEV YURY , SHAMKANOV DANIYAR 
Published: June 2020

AbstractWe present a sequent calculus for the Grzegorczyk modal logic$\mathsf {Grz}$allowing cyclic and other non-well-founded proofs and obtain the cut-elimination theorem for it by constructing a continuous cut-elimination mapping acting on these proofs. As an application, we establish the Lyndon interpolation property for the logic$\mathsf {Grz}$proof-theoretically.
COMPOSITIONALITY, COMPUTABILITY, AND COMPLEXITY
Authors: PAGIN PETER 
Published: June 2020

AbstractThis paper starts from the observation that the standard arguments for compositionality are really arguments for the computability of semantics. Since computability does not entail compositionality, the question of what justifies compositionality recurs. The paper then elaborates on the idea of recursive semantics as corresponding to computable semantics. It is then shown by means of time complexity theory and with the use of term rewriting as systems of semantic computation, that syntactically unrestricted, noncompositional recursive semantics leads to computational explosion (factorial complexity). Hence, with combinatorially unrestricted syntax, semantics with tractable time complexity is compositional.
HOW MUCH PROPOSITIONAL LOGIC SUFFICES FOR ROSSER’S ESSENTIAL UNDECIDABILITY THEOREM?
Authors: BADIA GUILLERMO , CINTULA PETR , HÁJEK PETR , TEDDER ANDREW 
Published: June 2020

AbstractIn this paper we explore the following question: how weak can a logic be for Rosser’s essential undecidability result to be provable for a weak arithmetical theory? It is well known that Robinson’s Q is essentially undecidable in intuitionistic logic, and P. Hájek proved it in the fuzzy logic BL for Grzegorczyk’s variant of Q which interprets the arithmetic operations as nontotal nonfunctional relations. We present a proof of essential undecidability in a much weaker substructural logic and for a much weaker arithmetic theory, a version of Robinson’s R (with arithmetic operations also interpreted as mere relations). Our result is based on a structural version of the undecidability argument introduced by Kleene and we show that it goes well beyond the scope of the Boolean, intuitionistic, or fuzzy logic.
Modeling ELF Electromagnetic Field in the Upper Ionosphere From Power Transmission Lines
Authors: Fedorov E. N. , Mazur N. G. , Pilipenko V. A. , Vakhnina V. V. 
Published: June 2020

AbstractThe expected magnitude of extralow‐frequency (ELF) electromagnetic response in the upper ionosphere to ground large‐scale power transmission lines at low Earth orbit (LEO) is modeled. The full‐wave system of Maxwell's equations is numerically solved in a realistic ionosphere whose parameters have been reconstructed with the use of the International Reference Ionosphere (IRI) model. We have calculated the altitudinal structure in the atmosphere and ionosphere of electromagnetic field and Poynting flux excited by an oscillating 50/150 Hz linear current suspended above the ground. The leakage rate into the upper ionosphere was shown to increase during nighttime hours and above a high‐resistive crust. The amplitudes of electromagnetic power line emission (PLE) detected by LEO satellites correspond to the unbalanced power line current intensity of about 1–10 A, depending on the crust resistivity.
Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales
Authors: Feng Dapeng , Fang Kuai , Shen Chaopeng 
Published: June 2020

AbstractRecent observations with varied schedules and types (moving average, snapshot, or regularly spaced) can help to improve streamflow forecasts, but it is challenging to integrate them effectively. Based on a long short‐term memory (LSTM) streamflow model, we tested multiple versions of a flexible procedure we call data integration (DI) to leverage recent discharge measurements to improve forecasts. DI accepts lagged inputs either directly or through a convolutional neural network unit. DI ubiquitously elevated streamflow forecast performance to unseen levels, reaching a record continental‐scale median Nash‐Sutcliffe Efficiency coefficient value of 0.86. Integrating moving‐average discharge, discharge from the last few days, or even average discharge from the previous calendar month could all improve daily forecasts. Directly using lagged observations as inputs was comparable in performance to using the convolutional neural network unit. Importantly, we obtained valuable insights regarding hydrologic processes impacting LSTM and DI performance. Before applying DI, the base LSTM model worked well in mountainous or snow‐dominated regions, but less well in regions with low discharge volumes (due to either low precipitation or high precipitation‐energy synchronicity) and large interannual storage variability. DI was most beneficial in regions with high flow autocorrelation: it greatly reduced baseflow bias in groundwater‐dominated western basins and also improved peak prediction for basins with dynamical surface water storage, such as the Prairie Potholes or Great Lakes regions. However, even DI cannot elevate performance in high‐aridity basins with 1‐day flash peaks. Despite this limitation, there is much promise for a deep‐learning‐based forecast paradigm due to its performance, automation, efficiency, and flexibility.
Nanoscale Imaging of High‐Field Magnetic Hysteresis in Meteoritic Metal Using X‐Ray Holography
Authors: Blukis R. , Pfau B. , Günther C. M. , Hessing P. , Eisebitt S. , Einsle J. , Harrison R. J. 
Published: June 2020

AbstractStable paleomagnetic information in meteoritic metal is carried by the “cloudy zone”: ~1–10 μm‐wide regions containing islands of ferromagnetic tetrataenite embedded in a paramagnetic antitaenite matrix. Due to their small size and high coercivity (theoretically up to ~2.2 T), the tetrataenite islands carry very stable magnetic remanence. However, these characteristics also make it difficult to image their magnetic state with the necessary spatial resolution and applied magnetic field. Here, we describe the first application of X‐ray holography to image the magnetic structure of the cloudy zone of the Tazewell IIICD meteorite with spatial resolution down to ~40 nm and in applied magnetic fields up to ±1.1 T, sufficient to extract high‐field hysteresis data from individual islands. Images were acquired as a function of magnetic field applied both parallel and perpendicular to the surface of a ~100 nm‐thick slice of the cloudy zone. Broad distributions of coercivity are observed, including values that likely exceed the maximum applied field. Horizontal offsets in the hysteresis loops indicate an interaction field distribution with half width of ~100 mT between the islands in their room temperature single‐domain state, providing a good match to first‐order reversal curve diagrams. The results suggest that future models of remanence acquisition in the cloudy zone should take account of strong interactions in order to extract quantitative estimates of the paleofield.
Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000–2015
Authors: Rublee C. S. , Sorensen C. J. , Lemery J. , Wade T. J. , Sams E. A. , Hilborn E. D. , Crooks J. L. 
Published: June 2020

AbstractAnthropogenic climate change is influencing the incidence of dust storms and associated human exposure to coarse particulate matter (PM2.5–10) in the United States. Studies have found adverse health consequences related to dust exposure. These consequences include respiratory disease exacerbations and premature mortality, resulting in increased health care utilization. However, the impact of dust storms on critical care demand has not been studied in the United States. We seek to quantify the relationship between dust storms and surges in critical care demand by investigating the association between dust storms and intensive care unit (ICU) admissions at nearby hospitals from 2000 to 2015. ICU data were acquired from Premier, Inc. and encompass 15–20% of all ICU admissions in the United States. Dust storm, meteorology, and air pollutant data were downloaded from the U.S. National Weather Service, the U.S. National Climatic Data Center, and the U.S. Environmental Protection Agency websites, respectively. Associations between ICU admission and dust storms, controlling for temperature, dew point temperature, ambient PM2.5 and ozone, as well as seasonally varying confounders, were estimated using a distributed lag conditional Poisson model with overdispersion. We found a 4.8% (95% CI: 0.4, 9.4; p = 0.033) increase in total ICU admissions on the day of the dust storm (Lag 0) and a 9.2% (95% CI: 1.8, 17.0; p = 0.013) and 7.5% (95% CI: 0.3, 15.2; p = 0.040) increase in respiratory admissions at Lags 0 and 5. North American dust storms are associated with increases in same day and lagged demand for critical care services at nearby hospitals.
The EUTOS long-term survival (ELTS) score is superior to the Sokal score for predicting survival in chronic myeloid leukemia
Authors: Pfirrmann Markus , Clark Richard E. , Prejzner Witold , Lauseker Michael , Baccarani Michele , Saussele Susanne , Guilhot François , Heibl Sonja , Hehlmann Rüdiger , Faber Edgar , Turkina Anna , Ossenkoppele Gert , Höglund Martin , Zaritskey Andrey , Griskevicius Laimonas , Olsson-Strömberg Ulla , Everaus Hele , Koskenvesa Perttu , Labar Boris , Sacha Tomasz , Zackova Daniela , Cervantes Francisco , Colita Adriana , Zupan Irena , Bogdanovic Andrija , Castagnetti Fausto , Guilhot Joëlle , Hasford Joerg , Hochhaus Andreas , Hoffmann Verena S. 
Published: June 2020

AbstractPrognostic scores support clinicians in selecting risk-adjusted treatments and in comparatively assessing different results. For patients with chronic-phase chronic myeloid leukemia (CML), four baseline prognostic scores are commonly used. Our aim was to compare the prognostic performance of the scores and to arrive at an evidence-based score recommendation. In 2949 patients not involved in any score development, higher hazard ratios and concordance indices in any comparison demonstrated the best discrimination of long-term survival with the ELTS score. In a second step, of 5154 patients analyzed to investigate risk group classification differences, 23% (n = 1197) were allocated to high-risk by the Sokal score. Of the 1197 Sokal high-risk patients, 56% were non-high-risk according to the ELTS score and had a significantly more favorable long-term survival prognosis than the 526 high-risk patients according to both scores. The Sokal score identified too many patients as high-risk and relatively few (40%) as low-risk (versus 60% with the ELTS score). Inappropriate risk classification jeopardizes optimal treatment selection. The ELTS score outperformed the Sokal score, the Euro, and the EUTOS score regarding risk group discrimination. The recent recommendation of the European LeukemiaNet for preferred use of the ELTS score was supported with significant statistical evidence.
Big behavior: challenges and opportunities in a new era of deep behavior profiling
Authors: von Ziegler Lukas , Sturman Oliver , Bohacek Johannes 
Published: June 2020

AbstractThe assessment of rodent behavior forms a cornerstone of preclinical assessment in neuroscience research. Nonetheless, the true and almost limitless potential of behavioral analysis has been inaccessible to scientists until very recently. Now, in the age of machine vision and deep learning, it is possible to extract and quantify almost infinite numbers of behavioral variables, to break behaviors down into subcategories and even into small behavioral units, syllables or motifs. However, the rapidly growing field of behavioral neuroethology is experiencing birthing pains. The community has not yet consolidated its methods, and new algorithms transfer poorly between labs. Benchmarking experiments as well as the large, well-annotated behavior datasets required are missing. Meanwhile, big data problems have started arising and we currently lack platforms for sharing large datasets—akin to sequencing repositories in genomics. Additionally, the average behavioral research lab does not have access to the latest tools to extract and analyze behavior, as their implementation requires advanced computational skills. Even so, the field is brimming with excitement and boundless opportunity. This review aims to highlight the potential of recent developments in the field of behavioral analysis, whilst trying to guide a consensus on practical issues concerning data collection and data sharing.
Children avoid inefficient but fair partners in a cooperative game
Authors: Prétôt Laurent , Gonzalez Gorana , McAuliffe Katherine 
Published: June 2020

AbstractHuman adults use a range of social cues to obtain information about potential partners in cooperative contexts: we prefer partners who are competent, wealthy and generous, and those who abide by moral and social rules. One factor that carries particular weight is whether a prospective partner is fair. Here we ask whether children share this preference for fair partners and, if so, whether a prospective partner’s past fair behaviour influences children’s behaviour in a cooperative dilemma. Six- to nine-year-olds chose between partners who accepted or rejected resource allocations that were either strongly advantageously unequal, strongly disadvantageously unequal, or equal. They then played a one-shot Prisoner’s Dilemma Game with their chosen partner. Children overwhelmingly preferred to play with the partner who accepted rather than rejected allocations. Regardless of their partner choice decisions, children tended to defect in the Prisoner’s Dilemma Game, yet expected that their partners would be relatively more cooperative. Finally, children were more likely to cooperate with those they believed would cooperate. Together, these findings shed new light on the links between partner choice, fairness and cooperation in child development.
G-CSF Inhibits Pulmonary Fibrosis by Promoting BMSC Homing to the Lungs via SDF-1/CXCR4 Chemotaxis
Authors: Zhao Fei-yan , Cheng Tian-yin , Yang Lei , Huang Yan-hong , Li Chen , Han Jian-zhong , Li Xiao-hong , Fang Li-juan , Feng Dan-dan , Tang Yi-ting , Yue Shao-jie , Tang Si-yuan , Luo Zi-qiang , Liu Wei 
Published: June 2020

AbstractBone marrow mesenchymal stem cells (BMSCs) have multi-lineage differentiation potential and play an important role in tissue repair. Studies have shown that BMSCs gather at the injured tissue site after granulocyte-colony stimulating factor (G-CSF) administration. In this study, we first investigated whether G-CSF could promote BMSC homing to damaged lung tissue induced by bleomycin (BLM) and then investigated whether SDF-1/CXCR4 chemotaxis might be involved in this process. Next, we further studied the potential inhibitory effect of G-CSF administration in mice with lung fibrosis induced by bleomycin. We examined both the antifibrotic effects of G-CSF in mice with bleomycin-induced pulmonary fibrosis in vivo and its effects on the proliferation, differentiation and chemotactic movement of cells in vitro. Flow cytometry, real-time PCR, transwell and Cell Counting Kit-8 (CCK-8) assays were used in this study. The results showed that both preventative and therapeutic G-CSF administration could significantly inhibit bleomycin-induced pulmonary fibrosis. G-CSF enhanced BMSC migration to lung tissues, but this effect could be alleviated by AMD3100, which blocked the SDF-1/CXCR4 axis. We also found that BMSCs could inhibit fibroblast proliferation and transdifferentiation into myofibroblasts through paracrine actions. In conclusion, G-CSF exerted antifibrotic effects in bleomycin-induced lung fibrosis, in part by promoting BMSC homing to injured lung tissues via SDF-1/CXCR4 chemotaxis.