bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association of Electoral Volatility and Religious Riots in India
Authors: Hosur Suhas Prashant , Banerjee Vasabjit 
Published: December 2020

AbstractWhy are religious riots between Hindus and Muslims endemic in some states of India and not in others? Scholarship on the topic is divided between those arguing that electoral competition increases the occurrence of such riots and those arguing that electoral competition decreases the occurrence of such riots. Both types of explanations assume a relationship between political parties and religious violence, but they ignore voting behavior. This paper accounts for party system instability or change, measured in terms of electoral volatility, to argue that electoral volatility in the Indian party system is a key overlooked determinant of religious violence. Specifically, higher levels of electoral volatility, implying high switching of party allegiances by voters, may indicate the process of ethnic outbidding that causes violence.
Symbolic Explicit Solutions for 1‐Dimensional Linear Diffusive Wave Equation With Lateral Inflow and Their Applications
Authors: Nazari Behzad , Seo Dong‐Jun 
Published: December 2020

AbstractThe diffusive wave equation, a simplified form of the Saint‐Venant equations, is extensively used in flood routing. To solve the equation, numerous methods have been developed over the years. Most of them are numerical and hence their application generally requires case‐specific modeling and analysis to ensure stable solution. For many practical routing applications, however, simpler yet accurate methods are highly desirable that do not require problem‐specific numerical modeling. This work extends the previous analytical solutions with more flexible boundary conditions, presents two quasianalytical methods for solving the 1‐D linear diffusive wave equation on finite domains, and applies them to different types of routing problems. Referred to as the Symbolic Diffusive Wave Solutions, the proposed methods yield explicit symbolic expressions for time‐continuous solutions at discrete nodes in space and provide solutions that are accurate and computationally efficient. The methods are easy to implement and may be used in a variety of routing applications in which accurate explicit symbolic solutions for linear advection‐diffusion are desired for a set of discrete locations such as known river forecast points. This study describes the solutions and their application in different types of real‐world and synthetic routing problems.
Gas‐Driven Tensile Fracturing in Shallow Marine Sediments
Authors: Daigle Hugh , Cook Ann , Fang Yi , Bihani Abhishek , Song Wen , Flemings Peter B. 
Published: December 2020

AbstractThe flow of gas through shallow marine sediments is an important component of the global carbon cycle and affects methane release to the ocean and atmosphere as well as submarine slope stability. Seafloor methane venting is often linked to dissociating hydrates or gas migration from a deep source, and subsurface evidence of gas‐driven tensile fracturing is abundant. However, the physical links among hydrate dissociation, gas flow, and fracturing have not been rigorously investigated. We used mercury intrusion data to model the capillary drainage curves of shallow marine muds as a function of clay content and porosity. We combined these with estimates of in situ tensile strength to determine the critical gas saturation at which the pressure of the gas phase would exceed the pressure required to generate tensile fractures. Our work showed that fracturing is favored in the shallowest 38 m of sediment when the clay‐sized fraction is 0.2, but fracturing may be possible to a depth of 132 m below seafloor (mbsf) with a clay‐sized fraction of 0.5 and to a depth of nearly 500 mbsf with a clay‐sized fraction of 0.7. Dissociating hydrate may supply sufficient quantities of gas to cause fracturing, but this is only likely near the updip limit of the hydrate stability zone. Gas‐driven tensile fracturing is probably a common occurrence in the upper 10–20 mbsf regardless of clay‐sized fraction, does not require much gas (far less than 10% gas saturation), and is not necessarily an indication of hydrate dissociation.
Magnetism of Body‐Centered Cubic Fe‐Ni Alloys Under Pressure: Strain‐Enhanced Ferromagnetism at the Phase Transitions
Authors: Wei Qingguo , Gilder Stuart A. , Ertel‐Ingrisch Werner , Guillou François , Wilhelm Fabrice 
Published: December 2020

AbstractWe investigated the magnetism of body‐centered cubic (bcc) FeNi alloys (Fe92Ni08, Fe87Ni13, and Fe84Ni16) as a function of pressure at room temperature through the bcc to hexagonal closed packed (hcp) phase transition. In each case, the fully saturated magnetic remanence attained maxima, 3–6 times higher than the initial value, at the hysteretic bcc → hcp and hcp → bcc transition boundaries upon compression and decompression. Magnetization maxima generally shifted to lower pressures with increasing Ni, concurrent with the phase transition. In Fe84Ni16, X‐ray magnetic circular dichroism (XMCD) at the K‐edge of Fe measured in a 2.5 T field together with X‐ray absorption spectroscopy indicate that the magnetism defined by XMCD divided by the proportion of bcc also attains a maximum in the transition regions, similar to the magnetic remanence measurements. Enhanced remanence is attributed to a lattice mismatch between bcc‐Fe and hcp‐Fe phases together with defect‐riddled martensite. This mechanism also explains why the remanence of bcc FeNi is 2–4 times stronger at full decompression than initially, which bears on the interpretation of paleointensity records of meteorites containing bcc FeNi alloys (kamacite). Only techniques that probe magnetic states carried out in fully saturating external fields detect magnetic signals in bcc‐Fe residing in the hcp stability region, thereby explaining the discrepancy among the experimental results. How far in pressure bcc‐Fe persists into the hcp stability field, especially at elevated temperatures, remains open.
Microphysics of Stratiform and Convective Precipitation During Meiyu Season in Eastern China
Authors: Wen Long , Zhao Kun , Yang Zhonglin , Chen Haonan , Huang Hao , Chen Gang , Yang Zhengwei 
Published: December 2020

AbstractThe microphysical structure of Meiyu precipitation in Eastern China is investigated using two‐dimensional video disdrometer (2DVD) and S‐band polarimetric radar observations. The constrained‐gamma raindrop size distribution (DSD) model derived from 2DVD observations performs well in representing Meiyu DSDs. The vertical variability of polarimetric variables and retrieved DSD parameters are then investigated. The results show different patterns of vertical behavior for convective and stratiform rain due to different ice‐phase and precipitation microphysical processes. The radar reflectivity of stratiform rain presents a distinct bright band (with an average echo top between 6 and 7 km). In contrast, the convective rain shows a larger reflectivity with a relatively higher echo top at 8 km. Polarimetric signatures of convective rain above the 0°C isotherm imply the coexistence of rimed particles and aggregates, which is indispensable for the intense precipitation on the ground. However, with a bulk precipitation formed below the melting layer, warm rain processes are still critical pathways for the growth of raindrops and the subsequent generation of heavy rainfall. Furthermore, both convective and stratiform rain is dominated by raindrops <4 mm, and the increase in their rain intensity can mostly be attributed to the increase in raindrop concentration. The identified maritime nature of convective rain has a much higher (roughly more than two times) number concentration of raindrops than that of convection in a similar climate region. This study provides a more comprehensive picture of Meiyu precipitation microphysics in Eastern China.
A Computationally Efficient Ensemble Filtering Scheme for Quantitative Volcanic Ash Forecasts
Authors: Zidikheri Meelis J. , Lucas Christopher 
Published: December 2020

AbstractA method of assimilating satellite observations in quantitative ensemble forecasting models of airborne volcanic ash is presented in this study. The method employs many trial dispersion model simulations that are generated by both deterministic and random perturbations of the source term and use of an ensemble of numerical weather prediction model fields. An ensemble filter is then applied to the trial simulations, which are either selected or rejected by the filter based on their degree of agreement with observations within a specified time window. The observations may be in the form of quantitative satellite retrieved mass load fields or qualitative ash detection fields, which means that useful results can be obtained even when retrievals are not available in real time provided that the ash boundaries can be identified. The filtering process is repeated several times with different random realizations of the source term to reduce sampling error and minimize filter degeneracy, a phenomenon that plagues all ensemble filter models. The selected members are then propagated forward in time beyond the observational time window to form the forecast ensemble. We show, using several eruption case studies, that forecast ensembles constructed in this way are generally superior in skill to reference forecasts that do not assimilate observations.
Artificial consortium demonstrates emergent properties of enhanced cellulosic-sugar degradation and biofuel synthesis
Authors: Park Heejoon , Patel Ayushi , Hunt Kristopher A. , Henson Michael A. , Carlson Ross P. 
Published: December 2020

AbstractPlanktonic cultures, of a rationally designed consortium, demonstrated emergent properties that exceeded the sums of monoculture properties, including a >200% increase in cellobiose catabolism, a >100% increase in glycerol catabolism, a >800% increase in ethanol production, and a >120% increase in biomass productivity. The consortium was designed to have a primary and secondary-resource specialist that used crossfeeding with a positive feedback mechanism, division of labor, and nutrient and energy transfer via necromass catabolism. The primary resource specialist was Clostridium phytofermentans (a.k.a. Lachnoclostridium phytofermentans), a cellulolytic, obligate anaerobe. The secondary-resource specialist was Escherichia coli, a versatile, facultative anaerobe, which can ferment glycerol and byproducts of cellobiose catabolism. The consortium also demonstrated emergent properties of enhanced biomass accumulation when grown as biofilms, which created high cell density communities with gradients of species along the vertical axis. Consortium biofilms were robust to oxic perturbations with E. coli consuming O2, creating an anoxic environment for C. phytofermentans. Anoxic/oxic cycling further enhanced biomass productivity of the biofilm consortium, increasing biomass accumulation ~250% over the sum of the monoculture biofilms. Consortium emergent properties were credited to several synergistic mechanisms. E. coli consumed inhibitory byproducts from cellobiose catabolism, driving higher C. phytofermentans growth and higher cellulolytic enzyme production, which in turn provided more substrate for E. coli. E. coli necromass enhanced C. phytofermentans growth while C. phytofermentans necromass aided E. coli growth via the release of peptides and amino acids, respectively. In aggregate, temporal cycling of necromass constituents increased flux of cellulose-derived resources through the consortium. The study establishes a consortia-based, bioprocessing strategy built on naturally occurring interactions for improved conversion of cellulose-derived sugars into bioproducts.
ECMWF global coupled atmosphere, ocean and sea-ice dataset for the Year of Polar Prediction 2017–2020
Authors: Bauer Peter , Sandu Irina , Magnusson Linus , Mladek Richard , Fuentes Manuel 
Published: December 2020

AbstractThe Year Of Polar Prediction (YOPP) dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF) contains initial condition and forecast model output from the operational global, coupled numerical weather prediction system. The dataset has been created to support model forecast evaluation, predictability studies and model error analyses over polar areas, which are strongly affected by climate change with yet unknown feedbacks on global circulation. The dataset complements YOPP observation and modeling research activities that represent a key deliverable of the World Meteorological Organization’s Polar Prediction Program. The dataset covers the period from mid-2017 until the end of the MOSAiC field campaign, expected for autumn 2020. Initial conditions and forecasts up to day-15 are included for the atmosphere and land surface for the entire period, and for ocean and sea-ice model components after June 2019. In addition, tendencies from model dynamics and individual physical processes are included for the first two forecast days. These are essential for characterizing the contribution of individual processes to model state evolution and, hence, for diagnosing sources of model error.
Kagome van-der-Waals Pd3P2S8 with flat band
Authors: Park Seunghyun , Kang Soonmin , Kim Haeri , Lee Ki Hoon , Kim Pilkwang , Sim Sangwoo , Lee Nahyun , Karuppannan Balamurugan , Kim Junghyun , Kim Jonghyeon , Sim Kyung Ik , Coak Matthew J. , Noda Yukio , Park Cheol-Hwan , Kim Jae Hoon , Park Je-Geun 
Published: December 2020

AbstractWith the advanced investigations into low-dimensional systems, it has become essential to find materials having interesting lattices that can be exfoliated down to monolayer. One particular important structure is a kagome lattice with its potentially diverse and vibrant physics. We report a van-der-Waals kagome lattice material, Pd3P2S8, with several unique properties such as an intriguing flat band. The flat band is shown to arise from a possible compact-localized state of all five 4d orbitals of Pd. The diamagnetic susceptibility is precisely measured to support the calculated susceptibility obtained from the band structure. We further demonstrate that Pd3P2S8 can be exfoliated down to monolayer, which ultimately will allow the possible control of the localized states in this two-dimensional kagome lattice using the electric field gating.
Pistacia lentiscus extract enhances mammary epithelial cells’ productivity by modulating their oxidative status
Authors: Hadaya O. , Bransi-Nicola R. , Shalev Y. , Azaizeh H. , Roth Z. , Muklada H. , Deutch T. , Landau S. Y. , Argov-Argaman N. 
Published: December 2020

AbstractWe assessed the potential of phenolic compounds from Pistacia lentiscus (lentisk) to enhance production of milk constituents in bovine mammary epithelial cells (MEC). MEC were exposed to 0 (control), 1 or 10 ppm of polyphenols from lentisk ethanolic extract (PLEE) for 24 h. PLEE were absorbed by the MEC plasma membrane, but also penetrated the cell to accumulate in and around the nucleus. PLEE increased triglyceride content in the cell and its secretion to the medium, and significantly increased intracellular lipid droplet diameter. Compared to control, PLEE increased dose-dependently the lactose synthesis, secretion of whey proteins, and contents of casein. To evaluate mitochondrial activity under pro-oxidant load, MEC were preincubated with PLEE and exposed for 2 h to H2O2. Exposure to H2O2 increased the proportion of cells with impaired mitochondrial membrane potential twofold in controls, but not in PLEE-pre-treated cells. Accordingly, proton leakage was markedly decreased by PLEE, and coupling efficiency between the respiratory chain and ATP production was significantly enhanced. Thus, lentisk polyphenols divert energy to production of milk fat, protein and lactose, with less energy directed to cellular damage control; alternatively, PLEE enables MEC to maintain energy and oxidative status under extreme metabolic rate required for milk production and secretion, and reduces the limitation on energy required to support production.
Characterization of ultrafine particles emitted during laser-based additive manufacturing of metal parts
Authors: Noskov Aleksey , Ervik Torunn K. , Tsivilskiy Ilya , Gilmutdinov Albert , Thomassen Yngvar 
Published: December 2020

AbstractParticulate matter (PM) emitted during laser additive manufacturing with stainless steel powder materials has been studied in detail. Three different additive manufacturing techniques were studied: selective laser melting, direct metal deposition and laser cladding. Gas flow and temperature fields accompanying the processes were numerically modeled for understanding particle growth and oxidation. Transmission and scanning electron microscopy were used for primary particle and PM characterization. The PM collected in the atmosphere during manufacturing consisted of complex aggregates/agglomerates with fractal-like geometries. The overwhelming number of particles formed in the three processes had equivalent projected area diameters within the 4–16 nm size range, with median sizes of 8.0, 9.4 and 11.2 nm. The primary particles were spherical in shape and consisted of oxides of the main steel alloying elements. Larger primary particles (> 30 nm) were not fully oxidized, but where characterized by a metallic core and an oxidic surface shell.
GanDouLing promotes proliferation and differentiation of neural stem cells in the mouse model of Wilson’s disease
Authors: Dong Ting , Wu Ming-cai , Tang Lu-lu , Jiang Hai-lin , Zhou Ping , Kuang Chun-jun , Tian Li-wei , Yang Wen-ming 
Published: December 2020

Abstract
Wilson’s disease (WD) is an autosomal recessive disease caused by mutation of the ATPase copper transporting β (ATP7B) gene, resulting in abnormal copper metabolism. We aimed to investigate the protective effect of GanDouLing (GDL) on neural stem cell (NSC) function in a mouse model of WD. NSCs were treated with different concentrations of GDL alone or in combination with penicillamine, following which we evaluated cellular growth, apoptosis, and differentiation. Nuclear factor E2-related factor 2 (Nrf2) pathway and NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome activation were analyzed via Western blotting. Treatment with GDL alone or in combination with penicillamine significantly increased proliferation and inhibited apoptosis of NSCs in a dose-dependent manner. In addition, GDL treatment remarkably promoted differentiation of NSCs. Consistently, levels of class III β-tubulin (Tuj1) and microtubule-associated protein 2 (MAP2) were significantly elevated, whereas glial fibrillary acidic protein (GFAP) levels were obviously suppressed in the presence of GDL or penicillamine. In vivo assays confirmed that GDL increased the ratio of Ki67+, Tuj1+, and MAP2+ cells and suppressed apoptosis in the hippocampal region in WD mice. Behavioral assays revealed that both GDL and penicillamine improved memory ability in WD models. Mechanistically, GDL treatment led to activation of Nrf2 signaling and suppression of the NLRP3 inflammasome in WD mice. Notably, inhibition of Nrf2 signaling reversed the protective effects of GDL on hippocampal NSCs. Collectively, these findings demonstrate that GDL exerts a protective effect on NSCs and promotes neurogenesis by targeting Nrf2 signaling and the NLRP3 inflammasome in WD.
Mechanisms involved in the adaptation ofEscherichia coliO157:H7 to the host intestinal microenvironment
Authors: Fernandez-Brando Romina J. , McAteer Sean P. , Montañez-Culma Johanna , Cortés-Araya Yennifer , Tree Jai , Bernal Alan , Fuentes Federico , Fitzgerald Stephen , Pineda Gonzalo E. , Ramos M. Victoria , Gally David L. , Palermo Marina S. 
Published: December 2020

AbstractHost adaptation of pathogens may increase intra- and interspecies transmission. We showed previously that the passage of a clinically isolated enterohemorrhagic Escherichia coli (EHEC) O157 strain (125/99) through the gastrointestinal tract of mice increases its pathogenicity in the same host. In this work, we aimed to elucidate the underlying mechanism(s) involved in the patho-adaptation of the stool-recovered (125RR) strain. We assessed the global transcription profile by microarray and found almost 100 differentially expressed genes in 125RR strain compared with 125/99 strain. We detected an overexpression of Type Three Secretion System (TTSS) proteins at the mRNA and protein levels and demonstrated increased adhesion to epithelial cell lines for the 125RR strain. Additional key attributes of the 125RR strain were: increased motility on semisolid agar, which correlated with an increased fliC mRNA level; reduced Stx2 production at the mRNA and protein levels; increased survival at pH 2.5, as determined by acid resistance assays. We tested whether the overexpression of the LEE-encoded regulator (ler) in trans in the 125/99 strain could recreate the increased pathogenicity observed in the 125RR strain. As anticipated ler overexpression led to increased expression of TTSS proteins and bacterial adhesion to epithelial cells in vitro but also increased mortality and intestinal colonization in vivo. We conclude that this host-adaptation process required changes in several mechanisms that improved EHEC O157 fitness in the new host. The research highlights some of the bacterial mechanisms required for horizontal transmission of these zoonotic pathogens between their animal and human populations.
Macrophage inflammatory state in Type 1 diabetes: triggered by NLRP3/iNOS pathway and attenuated by docosahexaenoic acid
Authors: Davanso Mariana Rodrigues , Crisma Amanda Rabello , Braga Tárcio Teodoro , Masi Laureane Nunes , do Amaral Cátia Lira , Leal Vinícius Nunes Cordeiro , de Lima Dhêmerson Souza , Patente Thiago Andrade , Barbuto José Alexandre , Corrêa-Giannella Maria L. , Lauterbach Mario , Kolbe Carl Christian , Latz Eicke , Camara Niels Olsen Saraiva , Pontillo Alessandra , Curi Rui 
Published: December 2020

Abstract
Type 1 diabetes mellitus (T1D) is a chronic autoimmune disease characterized by insulin-producing pancreatic β-cell destruction and hyperglycemia. While monocytes and NOD-like receptor family-pyrin domain containing 3 (NLRP3) are associated with T1D onset and development, the specific receptors and factors involved in NLRP3 inflammasome activation remain unknown. Herein, we evaluated the inflammatory state of resident peritoneal macrophages (PMs) from genetically modified non-obese diabetic (NOD), NLRP3-KO, wild-type (WT) mice and in peripheral blood mononuclear cells (PBMCs) from human T1D patients. We also assessed the effect of docosahexaenoic acid (DHA) on the inflammatory status. Macrophages from STZ-induced T1D mice exhibited increased inflammatory cytokine/chemokine levels, nitric oxide (NO) secretion, NLRP3 and iNOS protein levels, and augmented glycolytic activity compared to control animals. In PMs from NOD and STZ-induced T1D mice, DHA reduced NO production and attenuated the inflammatory state. Furthermore, iNOS and IL-1β protein expression levels and NO production were lower in the PMs from diabetic NLRP3-KO mice than from WT mice. We also observed increased IL-1β secretion in PBMCs from T1D patients and immortalized murine macrophages treated with advanced glycation end products and palmitic acid. The present study demonstrated that the resident PMs are in a proinflammatory state characterized by increased NLRP3/iNOS pathway-mediated NO production, up-regulated proinflammatory cytokine/chemokine receptor expression and altered glycolytic activity. Notably, ex vivo treatment with DHA reverted the diabetes-induced changes and attenuated the macrophage inflammatory state. It is plausible that DHA supplementation could be employed as adjuvant therapy for treating individuals with T1D.