bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single Polymer Composites Made of Melt-blown PP Mats and the Modelling of the Uniaxial Tensile Behaviour by the Fibre Bundle Cells Method
Authors: Virág Ábris Dávid , Kara Yahya , Vas László Mihály , Molnár Kolos 
Published: June 2021

AbstractIn this study, we generated polypropylene fibre mats via melt blowing (average diameter: 1.03 µm), and then produced self-reinforced composites using hot compaction and investigated the effect of the processing temperature. Scanning electron microscopy (SEM) revealed that our composites had good consolidation, low void content and besides, the fibres and the matrix were clearly distinguishable. The differential scanning calorimetry (DSC) tests showed that the composites are easy to recycle by re-melting. The tensile tests of the melt-blown nonwovens and the produced composites revealed that increasing the temperature of hot compaction results in embrittlement (from ductile to brittle) of the samples, which means higher specific tensile forces and smaller deformations. Using the Fibre Bundle Cells modelling method, we developed a phenomenological, analytical model to describe the total tensile curve (both the deformation and the failure behaviour) and analyse the tensile properties of these hot compacted composites. The determination coefficients (R2) between the modelled and measured force were larger than 0.99 and the relative mean squared error (RMSE) values (related to the measured maximum force value) were smaller than 3 % in every examined case, which indicated good modelling. Hence, the FBC model not only described the tensile behaviour of the nonwovens well, but it was also applicable for the composites.
An Analysis of Leptospirosis Control in a Flood-Affected Region of Kerala and the Role of Accredited Social Health Activists – A Questionnaire Study
Authors: Sreelakshmi M.K. , Kuruvilla Suneesh , Subramaniam Ramanarayanan , Latti Pooja , Venkitachalam Ramanarayanan 
Published: June 2021

AbstractBackground:Chengannur, a town in the south Indian state of Kerala, was 1 of the worst affected towns during the floods of 2018. Post-flood, Kerala state was under the threat of many infectious diseases including leptospirosis, but did not report any leptospirosis infections.Objectives:This study was conducted with the following objectives: (1) Assess the knowledge, attitude and practices regarding the prevention of leptospirosis among the flood affected population and Accredited Social Health Activists (ASHAs) of Chengannur; and (2) Analyze the factors responsible for and contributing to leptospirosis control in the area post flood.Methodology:A cross-sectional questionnaire based observational study was conducted among 2 groups: the flood affected population, and ASHA. The questionnaire was divided into 3 parts. Part A contained the socio-demographic information. Part B contained questions on assessment of knowledge, attitude, and practices regarding the prevention, and control of leptospirosis. Part C was only for the ASHA involved.Results:The final sample size was 331 (244 from the general population and 87 ASHAs). With respect to knowledge, attitude, and practice, the responses were dichotomized into correct and wrong responses. The mean knowledge score was 9.01 ± 1.08 (maximum score of 10), mean attitude score was of 3.61 ± 0.55 (maximum score of 4) and the mean practice score was 4.12 ± 1.05 (maximum score of 5).Conclusion:Knowledge and attitude scores did not significantly differ between the general population and ASHA, but the practice score showed a higher score among the ASHA, all of which could have probably contributed to the prevention of a leptospirosis outbreak in the region.
Plant naturalization trends reflect socioeconomic history and show a high likelihood of inter-island spread in Hawai‘i
Authors: Brock Kelsey C. , Daehler Curtis C. 
Published: June 2021

AbstractThe composition of nonnative floras is influenced by a region’s socioeconomic history, yet rarely are these factors studied alongside plant naturalization rates over time. Such information is especially critical for archipelagos, which often host large numbers of nonnative plants and would benefit from prevention of inter-island spread. We compiled the first record of occurrence and first record of naturalization for all naturalized plants in Hawai‘i alongside data on their origin, native climate types, taxonomy, and likely introduction pathway and compared rates of naturalization with socioeconomic trends. We found that the rate of total plant naturalizations has increased at a roughly constant rate during the past century without any sign of plateauing. However, this relatively steady increase is underlain by notable fluctuations in naturalization rates for different introduction pathways, with ornamentals increasing recently, while agriculture-related plants have decreased. Furthermore, this trend mirrors a shift from an agriculture-dominated economy to a tourism-based one associated with increases in both resident and tourist populations as well as general economic well-being. We further found that the average naturalized species spreads at a rate of 1.86 islands per decade, eventually occupying most major islands in the archipelago, and the rate of spread appears to be increasing since Hawai‘i’s economic shift. Our findings also emphasize the diversity of Hawai‘i’s nonnative flora, which originates from a variety of climates, continents, and taxonomic groups. We demonstrated that many nonnative species have native ranges that include temperate climates, which is important, because these climates typically co-occur with higher-elevation, remnant patches of native-dominated ecosystems in Hawai‘i. This study reveals trends that may help predict a species’ ability to naturalize and spread within and between islands, and we discuss management implications that may be extended to other regions.
Economic Risk within the Household and Voting for the Radical Right
Authors: Abou-Chadi Tarik , Kurer Thomas 
Published: June 2021

ABSTRACTThis article investigates how unemployment risk within households affects voting for the radical right. The authors contribute to recent advances in the literature that have highlighted the role of economic threat for understanding the support of radical-right parties. In contrast to existing work, the authors do not treat voters as atomistic individuals; they instead investigate households as a crucial site of preference formation. Combining largescale labor market data with comparative survey data, they confirm the expectations of their theoretical framework by demonstrating that the effect of occupational unemployment risk on radical-right support is strongly conditioned by household-risk constellations. Voting for the radical right is a function not only of a voter’s own risk, but also of his or her partner’s risk. The article provides additional evidence on the extent to which these effects are gendered and on the mechanisms that link household risk and party choice. The results imply that much of the existing literature on individual risk exposure potentially underestimates its effect on political behavior due to the neglect of multiplier effects within households.
A Dynamical Model of Equatorial Magnetosonic Waves in the Inner Magnetosphere: A Machine Learning Approach
Authors: Boynton R. J. , Walker S. N. , Aryan H. , Hobara Y. , Balikhin M. A. 
Published: June 2021

AbstractEquatorial magnetosonic waves (EMS), together with chorus and plasmaspheric hiss, play key roles in the dynamics of energetic electron fluxes in the magnetosphere. Numerical models, developed following a first principles approach, that are used to study the evolution of high energy electron fluxes are mainly based on quasilinear diffusion. The application of such numerical codes requires statistical models for the distribution of key magnetospheric wave modes to estimate the appropriate diffusion coefficients. These waves are generally statistically modeled as a function of spatial location and geomagnetic indices (e.g., AE, Kp, or Dst). This study presents a novel dynamic spatiotemporal model for EMS wave amplitude, developed using the Nonlinear AutoRegressive Moving Average eXogenous machine learning approach. The EMS wave amplitude, measured by the Van Allen Probes, are modeled using the time lags of the solar wind and geomagnetic indices as inputs as well as the location at which the measurement is made. The resulting model performance is assessed on a separate Van Allen Probes data set, where the prediction efficiency was found to be 34.0% and the correlation coefficient was 56.9%. With more training and validation data the performance metrics could potentially be improved, however, it is also possible that the EMS wave distribution is affected by stochastic factors and the performance metrics obtained for this model are close to the potential maximum.
Geodetic Observations of Shallow Creep on the Laohushan‐Haiyuan Fault, Northeastern Tibet
Authors: Li Yanchuan , Nocquet Jean‐Mathieu , Shan Xinjian , Song Xiaogang 
Published: June 2021

AbstractWe investigated the spatial distribution of aseismic creep on the Laohushan‐Haiyuan fault using Global Positioning System (GPS) data (1999–2017) and Interferometric Synthetic Aperture Radar (InSAR) data (2003–2010). Comparisons among GPS, InSAR line‐of‐sight (LOS) rates, and leveling show that neither leveling nor GPS vertical velocities can fit the vertical signal mapped into the LOS, implying either complicated vertical crustal deformation in northeastern Tibet and/or complex error structures in the InSAR data. Thus, we combined horizontal GPS with high‐pass filtered InSAR data to produce a continuous LOS rate map crossing the fault. Our geodetic data reveal three creep sections along the fault. Both the restored LOS data and decomposed ascending and descending InSAR data highlight the fact that vertical motion can cause an overestimation of creep rate; we obtained a refined creep rate of 2.5 ± 0.4 mm/a on the Laohushan fault. We further identified a 10 km‐long, ∼3–5 mm/a creep section (∼104.2°E−104.3°E) and a 43 km‐long, ∼1–3 mm/a creep section (∼105.3°E−105.7°E) on the western and eastern Haiyuan fault respectively. Both are located on fault sections that ruptured during the 1920 M∼8 earthquake, suggesting that the 1920 earthquake was able to cross pre‐existing creep sections or that the fault shows heterogeneous relocking after large earthquakes, with creep lasting decades on some parts of the rupture. Fault coupling shows a highly variable rate of slip deficit accumulation along strike, suggesting that coupling might significantly evolve during the period between two large earthquakes.
Sensitivity of Grass Fires Burning in Marginal Conditions to Atmospheric Turbulence
Authors: Jonko Alexandra K. , Yedinak Kara M. , Conley Juliana L. , Linn Rodman R. 
Published: June 2021

AbstractAtmospheric forcing and interactions between the fire and atmosphere are primary drivers of wildland fire behavior. The atmosphere is known to be a chaotic system that, although deterministic, is very sensitive to small perturbations to initial conditions. We assume that as a result of the tight coupling between fire and atmosphere; wildland fire behavior, in turn, should also be sensitive to perturbations in atmospheric initial conditions. Observations suggest that low intensity prescribed fire, in particular, is susceptible to small perturbations in the wind field, which can significantly alter fire spread. Here, we employ a computational fluid dynamics model of coupled fire‐atmosphere interactions to answer the question: How sensitive is fire behavior to small variations in atmospheric turbulence? We perform ensemble simulations of fires in homogenous grass fuels. The only difference between ensemble members is the state of the turbulent atmosphere provided to the model throughout the simulation. The atmospheric state is a function of the initial conditions applied at the start of the simulation and boundary conditions applied throughout the simulation. We find a wide range of outcomes, with area burned ranging from 2,212 to 11,236 m2 (>400% change), driven primarily by sensitivity to initial conditions, with nonnegligible contributions from boundary condition variability during the initial 30 s of simulation. Our results highlight the need for ensemble simulations, especially when considering fire behavior in marginal burning conditions.
Global‐Scale Consistency of Spaceborne Vegetation Indices, Chlorophyll Fluorescence, and Photosynthesis
Authors: Doughty Russell , Xiao Xiangming , Köhler Philipp , Frankenberg Christian , Qin Yuanwei , Wu Xiaocui , Ma Shuang , Moore Berrien 
Published: June 2021

AbstractThe new TROPOspheric Monitoring Instrument (TROPOMI) solar‐induced chlorophyll fluorescence (SIF) data provides new opportunities to corroborate and improve global photosynthesis estimates. Here we report the spatiotemporal consistency between TROPOMI SIF and vegetation indices from the bidirectional reflectance distribution function (BRDF) adjusted (MCD43) and standard MODIS (MOD09) surface reflectance products, estimates of absorbed photosynthetically active radiation by chlorophyll (APARchl) derived from National Centers for Environmental Prediction Reanalysis‐2 (NCEP2), MODIS MCD18, and European Reanalysis (ERA5) data, and two GPP products (GPPVPM and GPPMOD17). We find (a) non‐adjusted VIs were more highly correlated with SIF at mid and high latitude than BRDF‐adjusted VIs, but were less correlated in the tropics, (b) negligible differences in the correlation between SIF and non‐adjusted NIRv and EVI, but BRDF‐adjusted NIRv had higher correlations with SIF at mid to high latitude than BRDF‐adjusted EVI but lower correlations in the tropics, (c) choice of PAR data set likely to cause substantial differences in global and regional GPP estimates and the correlation between modeled GPP and SIF, (d) SIF was more highly correlated with APARchl at high to mid latitude than EVI but more highly correlated with EVI at lower latitudes, and (e) GPPVPM is more highly correlated with SIF than GPPMOD17, except in sub‐Sahara Africa. Our results highlight that spaceborne photosynthesis would likely be improved by using a non‐linear response to PAR and that the fundamental differences between the vegetation indices and PAR data sets are likely to yield important differences in global and regional estimates of photosynthesis.
Distributional Statistics of Municipal Water Use During Cape Town's Drought: Implications for Affordability, Conservation, and Tariffs
Authors: Cook Joseph , Brühl Johanna , Visser Martine 
Published: June 2021

AbstractWe calculate the first distributional statistics for municipal water use with 14.9 million monthly billing records for a half million households in Cape Town, South Africa, from 2014 to 2018. These years span a historic drought and a multi‐faceted package of conservation programs that achieved a 50% citywide drop in consumption. We find that the top 10% of households consumed 31% of water before the drought, with the Gini coefficient showing clear seasonal peaks driven by outdoor water use. Matching billing records to fine‐grained census data from 2011, we find that the correlation between income and water use in the winter was 0.08 but rose to 0.36 during outdoor watering seasons. This correlation declines before switching signs by the end of the drought. The city's increasing block tariff implied that the top 10% of users generate 50%–60% of utility revenues. Although before the drought these top users were more likely to be high income, the composition of top water users changed during the drought. Average income of top users during the drought was 35% lower than the average income of top users before the drought. Our results suggest that Cape Town's policy of providing a free allowance of 10.5 kL (m3) per month to qualify indigent households helped protect many, but not all, from multiple steep tariff increases.
Pluto in Glory: Discovery of Its Huge Opposition Surge
Authors: Buratti B. J. , Hicks M. D. , Kramer E. , Bauer J. , Ciardi D. R. , Lund M. B. , Lawrence K. J. 
Published: June 2021

AbstractNear‐infrared observations of the Pluto Charon system were captured with the Palomar High Angular Resolution Observer (PHARO) adaptive optics (AO) system on the 200‐inch Hale telescope during the historically small solar phase angles in 2018–2019. Both objects exhibit large opposition surges of ∼30%–35% in the last half degree of solar phase angle, which is among the largest observed for icy moons and other Kuiper Belt Objects. In addition, Pluto's surge is exceptionally steep. Pluto's unusual phase curve may be due to an unusual surface texture caused by seasonal volatile transport and active geologic processes. These observations enable accurate determination of Pluto's geometric albedo in the JHK filter system, which we find to be 0.86 ± 0.04, 0.59 ± 0.05, and 0.39 ± 0.04 for Pluto, respectively, and 0.68 ± 0.06 for Charon in the J filter.
Unusual Quasi 10‐Day Planetary Wave Activity and the Ionospheric Response During the 2019 Southern Hemisphere Sudden Stratospheric Warming
Authors: Wang J. C. , Palo S. E. , Forbes J. M. , Marino J. , Moffat‐Griffin T. , Mitchell N. J. 
Published: June 2021

AbstractAn unusual sudden stratospheric warming (SSW) event occurred in the Southern Hemisphere in September 2019. Ground‐based and satellite observations show the presence of transient eastward‐ and westward‐propagating quasi‐10 day planetary waves (Q10DWs) during the SSW. The planetary wave activity maximizes in the mesosphere and lower thermosphere region approximately 10 days after the SSW onset. Analysis indicates that the westward‐propagating Q10DW with zonal wave number s = 1 is mainly symmetric about the equator, which is contrary to theory which predicts the presence of an antisymmetric normal mode for such planetary wave. Observations from microwave limb sounder and sounding of the atmosphere using broadband emission radiometry are combined with meteor radar wind measurements from Antarctica, providing a comprehensive view of Q10DW wave activity in the Southern Hemisphere during this SSW. Analysis suggests that the Q10DWs of various wavenumbers are potentially excited from nonlinear wave‐wave interactions that also involve stationary planetary waves with s = 1 and s = 2. The Q10DWs are also found to couple the ionosphere with the neutral atmosphere. The timing of the quasi‐10‐day oscillations (Q10DOs) in the ionosphere are contemporaneous with the Q10DWs in the neutral atmosphere during a period of relatively low solar and geomagnetic activity, suggesting that the Q10DWs play a key role in driving the ionospheric Q10DOs during the Southern SSW event. This study provides observational evidence for coupling between the neutral atmosphere and ionosphere through the upward propagation of global scale planetary waves.
Multi‐Instrument Characterization of Magnetospheric Cold Plasma Dynamics in the June 22, 2015 Geomagnetic Storm
Authors: Vellante M. , Takahashi K. , Del Corpo A. , Zhelavskaya I. S. , Goldstein J. , Mann I. R. , Pietropaolo E. , Reda J. , Heilig B. 
Published: June 2021

AbstractWe present a comparison of magnetospheric plasma mass/electron density observations during an 11‐day interval which includes the geomagnetic storm of June 22, 2015. For this study we used: Equatorial plasma mass density derived from geomagnetic field line resonances (FLRs) detected by Van Allen Probes and at the ground‐based magnetometer networks EMMA and CARISMA; in situ electron density inferred by the Neural‐network‐based Upper hybrid Resonance Determination algorithm applied to plasma wave Van Allen Probes measurements. The combined observations at L ∼ 4, MLT ∼ 16 of the two longitudinally separated magnetometer networks show a temporal pattern very similar to that of the in situ observations: A density decrease by an order of magnitude about 1 day after the Dst minimum, a partial recovery a few hours later, and a new strong decrease soon after. The observations are consistent with the position of the measurement points with respect to the plasmasphere boundary as derived by a plasmapause test particle simulation. A comparison between plasma mass densities derived from ground and in situ FLR observations during favorable conjunctions shows a good agreement. We find however, for L < ∼3, the spacecraft measurements to be higher than the corresponding ground observations with increasing deviation with decreasing L, which might be related to the rapid outbound spacecraft motion in that region. A statistical analysis of the average ion mass using simultaneous spacecraft measurements of mass and electron density indicates values close to 1 amu in plasmasphere and higher values (∼2–3 amu) in plasmatrough.
The occurrence of antibiotic resistance genes in the microbiota of yak, beef and dairy cattle characterized by a metagenomic approach
Authors: Wang Weiwei , Wei Xiaojuan , Wu Lingyu , Shang Xiaofei , Cheng Fusheng , Li Bing , Zhou Xuzheng , Zhang Jiyu 
Published: June 2021

AbstractDrug resistance has been partly driven by the overuse of antimicrobials in agricultural animal feed. Better understanding of antibiotic resistance in bovine gut is needed to assess its potential effects based on metagenomic approach and analysis. In this study, we collected 40 fecal samples to explore drug resistance derived from antibiotic use in the bacterial community by an analysis of the diversities and differences of antibiotic-resistant genes (ARGs) in the gut microbiota from yak, beef, and dairy cattle. Overall, 1688 genes were annotated, including 734 ARG subtypes. The ARGs were related to tetracyclines, quinolones, β-lactam, and aminoglycosides, in accordance with the antibiotics widely used in the clinic for humans or animals. The emergence, prevalence, and differences in resistance genes in the intestines of yaks, beef, and dairy cattle may be caused by the selective pressure of different feeding patterns, where yaks were raised without antibiotics for growth promotion. In addition, the abundance of ARGs in yak was lower than in beef and dairy cattle, whereas the abundance of integron, a kind of mobile genetic elements (MGEs) was higher in yaks than those in beef and dairy cattle. Furthermore, the results of this study could provide the basis for a comprehensive profile of various ARGs among yak, beef, and dairy cattle in future.
Simulation and surface topology of activity of pyrazoloquinoline derivatives as corrosion inhibitor on the copper surfaces
Authors: Razavi Razieh , Kaya Savaş , Zahedifar Mahboobeh , Ahmadi Sayed Ali 
Published: June 2021

AbstractIn the present study, corrosion inhibition performances of some pyrazolo [3,4-b] quinoline-3,5-dione derivatives against the corrosion of copper metal were investigated using B3LYP/6-311++g(d,p) calculation level in aqueous media. Additionally, interaction energies were calculated for all the pyrazoloquinoline derivatives compounds. In the calculations it is observed that studied molecules adsorb on metal surface with the help of electron donor heteroatoms in their molecular structures. Chemical thermodynamic parameters regarding the interaction between inhibitor molecule and copper surface were estimated and discussed. Density of the electron profile analysis and chemical electrostatic potential of nuclear charges in the molecule were applied to consider the nature of a number of probable interactions between Cu metal surface and inhibitors in terms of bond critical point (BCP). Calculated quantum chemical parameters showed that the pyrazoloquinoline derivatives including the OH and NO2 exhibit high inhibition performance.