bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying the prevalence of (non)-response to fertilizers in sub-Saharan Africa using on-farm trial data
Authors: Nziguheba Generose , van Heerwaarden Joost , Vanlauwe Bernard 
Published: October 2021

AbstractPoor and variable crop responses to fertilizer applications constitute a production risk and may pose a barrier to fertilizer adoption in sub-Saharan Africa (SSA). Attempts to measure response variability and quantify the prevalence of non-response empirically are complicated by the fact that data from on-farm fertilizer trials generally include diverse nutrients and do not include on-site replications. The first aspect limits the extent to which different studies can be combined and compared, while the second does not allow to distinguish actual field-level response variability from experimental error and other residual variations. In this study, we assembled datasets from 41 on-farm fertilizer response trials on cereals and legumes across 11 countries, representing different nutrient applications, to assess response variability and quantify the frequency of occurrence of non-response to fertilizers. Using two approaches to account for residual variation, we estimated non-response, defined here as a zero agronomic response to fertilizer in a given year, to be relatively rare, affecting 0–1 and 7–16% of fields on average for cereals and legumes respectively. The magnitude of response could not be explained by climatic and selected topsoil variables, suggesting that much of the observed variation may relate to unpredictable seasonal and/or local conditions. This implies that, despite demonstrable spatial bias in our sample of trials, the estimated proportion of non-response may be representative for other agro-ecologies across SSA. Under the latter assumption, we estimated that roughly 260,000 ha of cereals and 3,240,000 ha of legumes could be expected to be non-responsive in any particular year.
3D Numerical Simulations of Non-Volcanic CO2 Degassing in Active Fault Zones Based on Geophysical Surveys
Authors: Di Maio R. , Salone R. , De Paola C. , Piegari E. , Vitale S. 
Published: October 2021

Abstract
An integrated approach that combines geophysical surveys and numerical simulations is proposed to study the processes that govern the fluid flow along active fault zones. It is based on the reconstruction of the architecture of the investigated fault system, as well as the identification of possible paths for fluid migration, according to the distribution of geophysical parameters retrieved by multi-methodological geophysical prospecting. The aim is to establish, thanks to constraints deriving from different types of data (e.g., geological, geochemical and/or hydrogeological data), an accurate 3D petrophysical model of the survey area to be used for simulating, by numerical modelling, the physical processes likely taking place in the imaged system and its temporal evolution. The effectiveness of the proposed approach is tested in an active fault zone in the Matese Mts (southern Italy), where recent, accurate geochemical measurements have registered very high anomalous values of non-volcanic natural emissions of CO2. In particular, a multi-methodological geophysical survey, consisting of electrical resistivity tomography, self-potential and passive seismic measurements, integrated with geological data, was chosen to define the 3D petrophysical model of the investigated system and to identify possible source geometries. Three different scenarios were assumed corresponding to three different CO2 source models. The one that hypothesizes a source located along the fault plane at the depth of the carbonate basement was found to be the best candidate to represent the test site. Indeed, the performed numerical simulations provide CO2 flow estimates comparable with the values observed in the investigated area. These findings are promising for gas hazards, as they suggest that numerical simulations of different CO2 degassing scenarios could forecast possible critical variations in the amount of CO2 emitted near the fault.
An Atypical Autoinflammatory Disease Due to an LRR Domain NLRP3 Mutation Enhancing Binding to NEK7
Authors: Caseley Emily A. , Lara-Reyna Samuel , Poulter James A. , Topping Joanne , Carter Clive , Nadat Fatima , Spickett Gavin P. , Savic Sinisa , McDermott Michael F. 
Published: October 2021

Abstract
The NLRP3 inflammasome is a vital mediator of innate immune responses. There are numerous NLRP3 mutations that cause NLRP3-associated autoinflammatory diseases (NLRP3-AIDs), mostly in or around the NACHT domain. Here, we present a patient with a rare leucine-rich repeat (LRR) domain mutation, p.Arg920Gln (p.R920Q), associated with an atypical NLRP3-AID with recurrent episodes of sore throat and extensive oropharyngeal ulceration. Unlike previously reported patients, who responded well to anakinra, her oral ulcers did not significantly improve until the PDE4 inhibitor, apremilast, was added to her treatment regimen. Here, we show that this mutation enhances interactions between NLRP3 and its endogenous inhibitor, NIMA-related kinase 7 (NEK7), by affecting charge complementarity between the two proteins. We also demonstrate that additional inflammatory mediators, including the NF-кB and IL-17 signalling pathways and IL-8 chemokine, are upregulated in the patient’s macrophages and may be directly involved in disease pathogenesis. These results highlight the role of the NLRP3 LRR domain in NLRP3-AIDs and demonstrate that the p.R920Q mutation can cause diverse phenotypes between families.
Improving accountability in recommender systems research through reproducibility
Authors: Bellogín Alejandro , Said Alan 
Published: October 2021

AbstractReproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results. In this work, we argue that, by facilitating reproducibility of recommender systems experimentation, we indirectly address the issues of accountability and transparency in recommender systems research from the perspectives of practitioners, designers, and engineers aiming to assess the capabilities of published research works. These issues have become increasingly prevalent in recent literature. Reasons for this include societal movements around intelligent systems and artificial intelligence striving toward fair and objective use of human behavioral data (as in Machine Learning, Information Retrieval, or Human–Computer Interaction). Society has grown to expect explanations and transparency standards regarding the underlying algorithms making automated decisions for and around us. This work surveys existing definitions of these concepts and proposes a coherent terminology for recommender systems research, with the goal to connect reproducibility to accountability. We achieve this by introducing several guidelines and steps that lead to reproducible and, hence, accountable experimental workflows and research. We additionally analyze several instantiations of recommender system implementations available in the literature and discuss the extent to which they fit in the introduced framework. With this work, we aim to shed light on this important problem and facilitate progress in the field by increasing the accountability of research.
Detection of Atrial Fibrillation in Routine EEG Recordings
Authors: Shelig Mohamed , Ames Madison , Young G. Bryan 
Published: October 2021

Abstract:Background:A one-channel electrocardiogram (ECG) channel is recommended during electroencephalogram (EEG) recordings principally to help establish ECG or pulse wave contamination of the ECG EEG. However, the ECG recording, in itself, provides useful clinical information, principally the detection of arrhythmias, especially atrial fibrillation (AF), which indicates heart disease that can predispose to embolic stroke and systemic embolism. We sought to determine the prevalence of AF routine recordings in our EEG laboratory in a general hospital.Methods:We reviewed the consecutive EEG reports for the past 7 years to determine how often AF was detected in various age groups.Results:We found AF in 0–0.2% per decade of life until age 60–69 years, 2.7% for 70–79 years, 5% for 80–89 years, and 8% for 90–99 years.Conclusion:We suggest that the ECG trace should be carefully analyzed for AF, especially in patients over 60 years of age. When detected, it should be brought to the referring doctor’s attention.
Association Between Excess Sleep Duration and Risk of Stroke: A Population-Based Study
Authors: Joundi Raed A. , Patten Scott B. , Williams Jeanne V.A. , Smith Eric E. 
Published: October 2021

Abstract:Background:Excess sleep is associated with higher risk of stroke, but whether the risk is modified by age and if it remains elevated after accounting for the competing risk of death is not well understood.Methods:We used nine years of the Canadian Community Health Survey between 2000 to 2016 to obtain self-reported sleep duration and created a cohort of individuals without prior stroke, heart disease, or cancer. We linked to hospital records to determine subsequent admissions or emergency department visits for acute stroke until December 31, 2017. We used Cox proportional hazard models to determine the association between sleep duration and risk of stroke, assessing for modification by age and sex and adjusting for demographic, vascular, and social factors. We obtained cumulative incidence of stroke accounting for the competing risk of death.Results:There were 82,795 individuals in our cohort who met inclusion criteria and had self-reported sleep duration, with 1705 stroke events in follow-up. There was an association between excess sleep (≥10 h/night) and risk of stroke in those <70 years (fully adjusted hazard ratio 2.29, 95% CI 1.04–5.06), but not ≥70 years of age, with a similar association after accounting for the competing risk of death.Conclusion:Sleep duration ≥10 h/night is associated with increased risk of stroke in those <70 years of age. The findings support current guidelines for 7–9 h of sleep per night. Further research is needed to elucidate the relationship between sleep and cerebrovascular disease.
A seamless multiscale operator neural network for inferring bubble dynamics
Authors: Lin Chensen , Maxey Martin , Li Zhen , Karniadakis George Em 
Published: October 2021

Modelling multiscale systems from nanoscale to macroscale requires the use of atomistic and continuum methods and, correspondingly, different computer codes. Here, we develop a seamless method based on DeepONet, which is a composite deep neural network (a branch and a trunk network) for regressing operators. In particular, we consider bubble growth dynamics, and we model tiny bubbles of initial size from 100 nm to 10

$\mathrm {\mu }\textrm {m}$

, modelled by the Rayleigh–Plesset equation in the continuum regime above 1

$\mathrm {\mu }\textrm {m}$

and the dissipative particle dynamics method for bubbles below 1

$\mathrm {\mu }\textrm {m}$

in the atomistic regime. After an offline training based on data from both regimes, DeepONet can make accurate predictions of bubble growth on-the-fly (within a fraction of a second) across four orders of magnitude difference in spatial scales and two orders of magnitude in temporal scales. The framework of DeepONet is general and can be used for unifying physical models of different scales in diverse multiscale applications.
Care precarity among older British migrants in Spain
Authors: Hall Kelly 
Published: October 2021

AbstractNorthern European international retirement migrants are often viewed as affluent and use migration as a route to a better quality of life. However, as these migrants transition into the ‘fourth age’, the onset of age-related illnesses, frailty and care needs can lead to increased levels of risk and insecurity. Through 34 qualitative interviews with older British migrants in Spain, the paper explores how these migrants access and experience care as they age. It draws on a lens of precarity that allows an understanding not only of individual care needs, but of the political, economic and social context in which they are situated, including social protections and public safety nets. The findings suggest that distant family relationships and limited access to formal social protection can both create and exacerbate precarity. These older migrants therefore develop different strategies to access care that include drawing on informal relationships and voluntary organisations within the British community in Spain. The paper contributes to understanding how international retirement migrants manage their care needs, and theoretically extends our understanding of how the intersection of old age, migration and care can create new forms of precarity.
Deconstructing Nonviolence and the War-Machine: Unarmed Coups, Nonviolent Power, and Armed Resistance
Authors: Finlay Christopher J. 
Published: October 2021

AbstractProponents of nonviolent tactics often highlight the extent to which they rival arms as effective means of resistance. Erica Chenoweth and Maria Stephan, for instance, compare civil resistance favorably to armed insurrection as means of bringing about progressive political change. In Ethics, Security, and the War-Machine, Ned Dobos cites their work in support of the claim that similar methods—organized according to Gene Sharp's idea of “civilian-based defense”—may be substituted for regular armed forces in the face of international aggression. I deconstruct this line of pacifist thought by arguing that it builds on the wrong binary. Turning away from a violence-nonviolence dichotomy structured around harmfulness, I look to Richard B. Gregg and Hannah Arendt for an account of nonviolent power defined by non-coercion. Whereas nonviolent coercion in the wrong hands still has the potential to subvert democratic institutions—just as armed methods can—Gregg's and Arendt's conceptions of nonviolent power identify a necessary bulwark against both forms of subversion. The dangers of nonviolent coercion can be seen in the largely nonviolent attempts at civil subversion by supporters of Donald Trump during Trump's attempts to overturn the results of the U.S. presidential election in 2020, while the effectiveness of noncoercive, nonviolent power is illustrated by the resistance of U.S. democratic institutions to resist them.
Past experiences with surprise medical bills drive issue knowledge, concern and attitudes toward federal policy intervention
Authors: Callaghan Timothy , Haeder Simon F. , Sylvester Steven 
Published: October 2021

AbstractScholars and journalists have devoted considerable attention to understanding the circumstances in which Americans receive surprise medical bills. Previous research on this issue has focused on the scope of the problem, including the conditions that are most likely to lead to surprise bills. However, the existing literature has almost exclusively relied on claims data, limiting our understanding of consumer experiences and attitudes toward policy changes to address surprise billing. Using a survey administered to a nationally representative sample of 4998 Americans, we analyze consumer experiences with surprise billing, knowledge of the issue, how concerned Americans are about receiving surprise bills and how past experiences influence policy preferences toward federal action on surprise billing. Our analysis demonstrates that knowledge and concern about surprise billing are the highest among the educated and those who have previously received a surprise bill. These factors also predict support for federal policy action, with high levels of support for federal policy action across the population, including among both liberals and conservatives. However, more detailed federal policy proposals receive significantly less support among Americans, suggesting that stand-alone policy action may not be viable. Our results show bipartisan support among American consumers for federal action on surprise billing in the abstract but no consistent views on specific policy proposals.
Who Supported the Early Muslim Brotherhood?
Authors: Ketchley Neil , Brooke Steven , Lia Brynjar 
Published: October 2021

AbstractScholarship on political Islam suggests that support for early Islamist movements came from literate merchants, government officials, and professionals who lacked political representation. We test these claims with a unique tranche of microlevel data drawn from a Muslim Brotherhood petition campaign in interwar Egypt. Matching the occupations of over 2,500 Brotherhood supporters to contemporaneous census data, we show that Egyptians employed in commerce, public administration, and the professions were more likely to sign the movement's petitions. The movement's supporters were also overwhelmingly literate. Contrary to expectations, the early Brotherhood also attracted support from Egyptians employed in agriculture, albeit less than we would expect given the prevalence of agrarian workers in the population. A case study tracing Muslim Brotherhood branch formation and petition activism in a Nile Delta village illustrates how literate, socially mobile agrarian families were key to the propagation of the movement in rural areas.
Controls on Seasonal Variations of Crustal Seismic Velocity in Taiwan Using Single‐Station Cross‐Component Analysis of Ambient Noise Interferometry
Authors: Feng Kuan‐Fu , Huang Hsin‐Hua , Hsu Ya‐Ju , Wu Yih‐Min 
Published: October 2021

AbstractAmbient noise interferometry is a powerful technique to continuously measuring crustal seismic velocity changes (dv/v) and studying crustal behaviors over time. However, the interpretation of such dv/v variations is not straightforward since multiple causes including internal (tectonic/magmatic) processes of the crust and external (environmental) factors could both affect dv/v simultaneously. To differentiate the interplay between the internal and external processes in dv/v variations is an essential step toward accurate crustal monitoring. In this study, we apply the single‐station cross‐component (SC) method to 15 selected stations from the Broadband Array in Taiwan for Seismology (BATS) to investigate the temporal evolution of crustal seismic velocities across Taiwan. We process the continuous BATS seismic recording from 1998 to 2019, construct the daily SC correlation functions, and compute dv/v values by the stretching technique in a frequency band of 0.1–0.9 Hz. We observe both strong annual dv/v variations and co‐seismic velocity drops associated with regional moderate‐to‐large earthquakes. Systematic spectral and time‐series analyses with the weather data suggest that the rainfall‐induced pore‐pressure change plays a predominant role in driving the dv/v seasonality, reflecting a diffusion process from meteoric water into shallow crust. The effects of other factors are relatively local and secondary. We also demonstrate how understanding and correcting rainfall effects could critically improve the resolution and accuracy of internal crustal damage related to earthquakes.
DARPP-32 promotes ERBB3-mediated resistance to molecular targeted therapy in EGFR-mutated lung adenocarcinoma
Authors: Alam Sk. Kayum , Zhang Yongchang , Wang Li , Zhu Zhu , Hernandez Christina E. , Zhou Yuling , Yang Nong , Lei Jian , Chen Xiaoyan , Zeng Liang , Klein Mark A. , Hoeppner Luke H. 
Published: October 2021

AbstractEpidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI)-refractory lung adenocarcinoma (LUAD) progression is a major clinical problem. New approaches to predict and prevent acquired resistance to EGFR TKIs are urgently needed. Here, we show that dopamine and cyclic AMP-regulated phosphoprotein, Mr 32000 (DARPP-32) physically recruits ERBB3 (HER3) to EGFR to mediate switching from EGFR homodimers to EGFR:ERBB3 heterodimers to bypass EGFR TKI-mediated inhibition by potentiating ERBB3-dependent activation of oncogenic signaling. In paired LUAD patient-derived specimens before and after EGFR TKI-refractory disease progression, we reveal that DARPP-32 and kinase-activated EGFR and ERBB3 proteins are overexpressed upon acquired resistance. In mice, DARPP-32 ablation sensitizes gefitinib-resistant xenografts to EGFR TKIs, while DARPP-32 overexpression increases gefitinib-refractory LUAD progression in gefitinib-sensitive lung tumors. We introduce a DARPP-32-mediated, ERBB3-dependent mechanism the LUAD cells use to evade EGFR TKI-induced cell death, potentially paving the way for the development of therapies to better combat therapy-refractory LUAD progression.
Human ALS/FTD brain organoid slice cultures display distinct early astrocyte and targetable neuronal pathology
Authors: Szebényi Kornélia , Wenger Léa M. D. , Sun Yu , Dunn Alexander W. E. , Limegrover Colleen A. , Gibbons George M. , Conci Elena , Paulsen Ole , Mierau Susanna B. , Balmus Gabriel , Lakatos András 
Published: October 2021

AbstractAmyotrophic lateral sclerosis overlapping with frontotemporal dementia (ALS/FTD) is a fatal and currently untreatable disease characterized by rapid cognitive decline and paralysis. Elucidating initial cellular pathologies is central to therapeutic target development, but obtaining samples from presymptomatic patients is not feasible. Here, we report the development of a cerebral organoid slice model derived from human induced pluripotent stem cells (iPSCs) that recapitulates mature cortical architecture and displays early molecular pathology of C9ORF72 ALS/FTD. Using a combination of single-cell RNA sequencing and biological assays, we reveal distinct transcriptional, proteostasis and DNA repair disturbances in astroglia and neurons. We show that astroglia display increased levels of the autophagy signaling protein P62 and that deep layer neurons accumulate dipeptide repeat protein poly(GA), DNA damage and undergo nuclear pyknosis that could be pharmacologically rescued by GSK2606414. Thus, patient-specific iPSC-derived cortical organoid slice cultures are a reproducible translational platform to investigate preclinical ALS/FTD mechanisms as well as novel therapeutic approaches.