bluuebunny/crossref_metadata_2025_split huggingface dataset:
BambiAbroad, 1924–1954
Authors: Balakirsky Katz Maya 
Published: October 2020

AbstractThis paper explores the visual sources that inspired Felix Salten'sBambi, Eine Lebensgeschichte aus dem Walde(1923), and its postpublication legacy in America, Poland, India, Israel, and Russia. While both Jewish and non-Jewish artists embraced the hunted deer motif as their own “national folktale,” the Jewish roots of the visual motif are critical to understanding the revisions and adaptations of the tale in the mid-twentieth century. The case of the myriad revamps ofBambidemonstrates that the nationalist idiom was so elastic in the mid-twentieth century that it functioned as an aesthetic mode rather than an a priori category of identity. At the center of the analysis is the contention that Jewish artists, filmmakers, and writers used the aesthetic properties of the nationalist idiom not only to forge a path to political agency but also to build a shelter from the nation-state.
Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part I: The Concept
Authors: Burkle Frederick M. , Bradt David A. , Ryan Benjamin J. 
Published: October 2020

AbstractThis two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to information management, and describes a new multi-disciplinary model for population-based management (PBM) supported by a GPH Database applicable to pandemics and GPH crises.
Six‐Day Periodic Variation in Equatorial Ionization Anomaly Region
Authors: Mo X. H. , Zhang D. H. 
Published: October 2020

AbstractUsing the location of equatorial ionization anomaly (EIA) crest derived from GPS observations and CHAllenging Minisatellite Payload (CHAMP) satellite measurement, along with the F2 layer peak height (hmF2), critical frequency (foF2), and the equatorial electrojet (EEJ) in India and China longitudinal sectors, we found the obvious 6‐day oscillation in these ionospheric parameters during 16 April to 31 May 2003 and 21 September to 26 October 2004. The tidal amplitudes of EEJ are enhanced during the positive phase of the 6‐day waves and are weakened during its negative phase. Since the strong 6‐day planetary wave activities in mesosphere and lower thermosphere (MLT) region during these two events have been reported by earlier studies, this 6‐day oscillation in EIA region can be due to the interaction of enhanced planetary waves with the tidal wind. Moreover, the temporal variations of this 6‐day wave are consistent and in phase in these ionospheric parameters, indicating that the 6‐day planetary wave modulates electric fields via E region wind dynamo, thereby altering the vertical height and horizontal distribution of electron densities through upward E × B drift, which results in the periodical variations in these ionospheric parameters in F region. These observation results provide insight into how the 6‐day planetary waves modulate the ionospheric morphological structure.
The IOD Impacts on the Indian Ocean Carbon Cycle
Authors: Valsala Vinu , Sreeush M. G. , Chakraborty Kunal 
Published: October 2020

AbstractThis paper examines the impacts of Indian Ocean Dipole (IOD) Mode on the upper ocean carbon cycle and its variability in the Indian Ocean with available biogeochemical observations and 60 years (1960–2019) of model outputs from a global ocean biogeochemical general circulation model. The upper ocean carbon cycle variability of the Indian Ocean is faithfully reproduced by the model when compared with available observations. The IOD leads to a substantial sea‐to‐air CO2 flux variability in the southeastern tropical Indian Ocean over a broad region (70–105°E, 0–20°S), with more focus near the coast of Java‐Sumatra due to the prevailing upwelling dynamics and associated westward propagating anomalies. The sea‐to‐air CO2 fluxes, surface ocean partial pressure of CO2 (pCO2), the concentration of dissolved inorganic carbon (DIC), and ocean alkalinity (ALK) range as much as ±1.0 mole m−2 year−1, ±20 μatm, ±35 μmole kg−1, and ±22 μmole kg−1 within 80–105°E, 0–10°S due to IOD. The DIC and ALK are significant drivers of pCO2 variability associated with IOD. The roles of temperature (T) and biology are found negligible. A relatively warm T and extremely high freshwater forcing make the southeastern tropical Indian Ocean carbon cycle variability submissive to DIC and ALK evolutions in contrast to the tropical eastern Pacific where changes in DIC and T dominate the pCO2 interannual variability. For the first time, this study provides a most comprehensive and extended analysis for the region while highlighting significant differences in carbon cycle variability of the eastern tropical Indian Ocean compared to that of the other parts of the global oceans.
Development of an Empirical Model for Estimating the Quiet Day Curve (QDC) Over the Brazilian Sector
Authors: Chen S. S. , Denardini C. M. , Resende L. C. A. , Chagas R. A. J. , Moro J. , Picanço G. A. S. 
Published: October 2020

AbstractThe Embrace Magnetometer Network (Embrace MagNet) uses a series of magnetometers over South America to monitor the Earth's space environment and to study space weather. One of the common techniques used to study the effects of the magnetic disturbances in the globe is through the quiet day curve (QDC) of the geomagnetic field components. These types of QDC are calculated based on geomagnetic field data collected by magnetometers in the five quietest days for each month at each station. Thus, we developed and implemented an empirical model based on the QDC H component obtained by the Embrace MagNet. This model ought to be used as a prediction device when data are not available. The proposed algorithm is a function of the solar activity, the day of the year, and the universal time, which was adjusted based on 12 stations across to the South America sector between 2010 and 2018. Our results show that the values computed by this model are in good agreement with the observational data for the QDC. Finally, it is essential to mention that the QDC model presented in this study is the only available predicting tool of the Embrace MagNet stations to date, providing data with a high confidence level in the Brazilian sector.
A Simple Method for Correcting Empirical Model Densities During Geomagnetic Storms Using Satellite Orbit Data
Authors: Brandt Daniel A. , Bussy‐Virat Charles D. , Ridley Aaron J. 
Published: October 2020

AbstractEmpirical models of the thermospheric density are routinely used to perform orbit maintenance, satellite collision avoidance, and estimate time and location of re‐entry for spacecraft. These models have characteristic errors in the thermospheric density below 10% during geomagnetic quiet time but are unable to reproduce the significant increase and subsequent recovery in the density observed during geomagnetic storms. Underestimation of the density during these conditions translates to errors in orbit propagation that reduce the accuracy of any resulting orbit predictions. These drawbacks risk the safety of astronauts and orbiting spacecraft and also limit understanding of the physics of thermospheric density enhancements. Numerous CubeSats with publicly available ephemeris in the form of two‐line element (TLEs) sets orbit in this region. We present the Multifaceted Optimization Algorithm (MOA), a method to estimate the thermospheric density by minimizing the error between a modeled trajectory and a set of TLEs. The algorithm first estimates a representative cross‐sectional area for several reference CubeSats during the quiet time 3 weeks prior to the storm, and then estimates modifications to the inputs of the NRLMSISE‐00 empirical density model in order to minimize the difference between the modeled and TLE‐provided semimajor axis of the CubeSats. For validation, the median value of the modifications across all CubeSats are applied along the Swarm spacecraft orbits. This results in orbit‐averaged empirical densities below 10% error in magnitude during a geomagnetic storm, compared to errors in excess of 25% for uncalibrated NLRMSISE‐00 when compared to Swarm GPS‐derived densities.
An Ionospheric Climate Index Based on GNSS
Authors: Wang Cheng , Li Yuting , Wu Jicang , Fan Lei , Wang Zhipeng , Zhou Chen , Shi Chuang 
Published: October 2020

AbstractThe ionospheric total electron content (TEC) is a significant parameter for scientific studies of the ionosphere and space weather. Ground‐based Global Navigation Satellite System (GNSS) station network provides an opportunity for modeling the ionospheric TEC with high accuracy. Based on global ionospheric TEC maps, by using data from the International GNSS Service (IGS) stations for 21 years (from 1998 to 2018), we establish an ionospheric climate index (ICI) for representing the general state of the ionosphere. In addition, we build a multiple linear regression model for fitting ICI using the SSN, F10.7, Ap, and Dst indices and upper atmospheric wind field. We quantitatively analyze the contribution of these factors to ICI time series. ICI during the past six solar cycles, namely, from 1958 to 2018, are presented, which are assigned as the adjectives (cold, cool, mild, warm, hot, and sizzling) for ionospheric climatology studies. This new index is a very promising representative of day‐to‐day variations of middle‐ and low‐latitude ionosphere.
Groundwater Salinization and Flushing During Glacial‐Interglacial Cycles: Insights From Aquitard Porewater Tracer Profiles in the North China Plain
Authors: Han Dongmei , Cao Guoliang , Currell Matthew J. , Priestley Stacey C. , Love Andrew J. 
Published: October 2020

AbstractUsing natural tracer profiles to study migration of porewater salinity can help determine fluid fluxes and the timescales of salinization and freshening in coastal regions. Saline groundwater associated with evaporation and transgression events is widely distributed in the North China Plain (NCP). However, the fluid flux, time scales, and importance of different salinization processes are poorly constrained, particularly in areas beyond the limit of marine influence. Chloride (Cl) and δ18O profiles were obtained from two boreholes: one drilled at the edge of the piedmont alluvial fan (HS borehole) and one in the coastal region (G1 borehole). Numerical simulation of Cl and δ18O profiles confirmed diffusion‐dominated solute transport but also indicated slow upward advective flow over geological timescales. The profile modeling at HS indicated that salinization related to evaporation has occurred since the Late Pleistocene. Assessment of alternative conceptual models indicates that intensive groundwater pumping in recent decades has also caused significant downward movement of saline porewater (e.g., movement of brackish water at ~0.6 m/yr), mixing modern or Holocene water with Pleistocene water. The coastal Cl profile modeling in contrast shows that porewater salinity can be primarily attributed to salt diffusion during four transgression/regression cycles since the late Middle Pleistocene. The Cl transport appears never to have reached an equilibrium state during the glacial‐interglacial cycles. This suggests not only that trapped Holocene seawater is still present and leaching into adjacent sediments but also that Pleistocene water has never been entirely flushed from the deep part of the coastal sediments.
Understanding maternal mortality in women with obesity and the role of care they receive: a national case-control study
Authors: Saucedo Monica , Esteves-Pereira Ana Paula , Pencolé Lucile , Rigouzzo Agnès , Proust Alain , Bouvier-Colle Marie-Hélène ,   CNEMM study group, Chassard Dominique , Cohen Henri , Dreyfus Michel , Ducloy Jean-Claude , Guseva-Canu Irina , Laplace Jean-Pierre , Le Guern Véronique , Leroux Sylvie , Morau Estelle , Rondet Claire , Rossignol Mathias , Tessier Véronique , Verspyck Éric , Weber Philippe , Zieleskiewicz Laurent , Deneux-Tharaux Catherine 
Published: October 2020

Abstract
Objective
Obesity has significant implications for the health of pregnant women. However, few studies have quantified its association with maternal mortality or examined the relevant underlying causes and the role of care, although this remains the most severe maternal outcome. Our objectives were to quantify the risk of maternal death by prepregnancy body mass index and to determine whether obesity affected the quality of care of the women who died.

Desing
This is a national population-based case–control study in France. Cases were 364 maternal deaths from the 2007–2012 National Confidential Enquiry. Controls were 14,681 parturients from the nationally representative 2010 perinatal survey. We studied the association between categories of prepregnancy BMI and maternal death by multivariable logistic regression, estimating adjusted odds ratios and 95% confidence intervals, overall and by specific causes of death. Individual case reviews assessed the quality of care provided to the women who died, by obesity status.

Results
Compared with women with normal BMI, underweight women (<18.5 kg/m2) had an adjusted OR of death of 0.75 (95% CI, 0.42–1.33), overweight women (25–29.9 kg/m2) 1.65 (95% CI, 1.24–2.19), women with class 1 obesity (30–34.9 kg/m2) 2.22 (95% CI, 1.55–3.19) and those with class 2–3 obesity (≥35 kg/m2) 3.40 (95% CI, 2.17–5.33). Analysis by cause showed significant excess risk of maternal death due to cardiovascular diseases, venous thromboembolism, hypertensive complications and stroke in women with obesity. Suboptimal care was as frequent among women with (35/62, 57%) as without obesity (136/244, 56%), but this inadequate management was directly related to obesity among 14/35 (40%) obese women with suboptimal care. Several opportunities for improvement were identified.

Conclusions
The risk of maternal death increases with BMI; it multiplied by 1.6 in overweight women and more than tripled in pregnant women with severe obesity. Training clinicians in the specificities of care for pregnant women with obesity could improve their outcomes.
Direct visualization of phase-matched efficient second harmonic and broadband sum frequency generation in hybrid plasmonic nanostructures
Authors: Li Zhe , Corbett Brian , Gocalinska Agnieszka , Pelucchi Emanuele , Chen Wen , Ryan Kevin. M. , Khan Pritam , Silien Christophe , Xu Hongxing , Liu Ning 
Published: October 2020

AbstractSecond harmonic generation and sum frequency generation (SHG and SFG) provide effective means to realize coherent light at desired frequencies when lasing is not easily achievable. They have found applications from sensing to quantum optics and are of particular interest for integrated photonics at communication wavelengths. Decreasing the footprints of nonlinear components while maintaining their high up-conversion efficiency remains a challenge in the miniaturization of integrated photonics. Here we explore lithographically defined AlGaInP nano(micro)structures/Al2O3/Ag as a versatile platform to achieve efficient SHG/SFG in both waveguide and resonant cavity configurations in both narrow- and broadband infrared (IR) wavelength regimes (1300–1600 nm). The effective excitation of highly confined hybrid plasmonic modes at fundamental wavelengths allows efficient SHG/SFG to be achieved in a waveguide of a cross-section of 113 nm × 250 nm, with a mode area on the deep subwavelength scale (λ2/135) at fundamental wavelengths. Remarkably, we demonstrate direct visualization of SHG/SFG phase-matching evolution in the waveguides. This together with mode analysis highlights the origin of the improved SHG/SFG efficiency. We also demonstrate strongly enhanced SFG with a broadband IR source by exploiting multiple coherent SFG processes on 1 µm diameter AlGaInP disks/Al2O3/Ag with a conversion efficiency of 14.8% MW−1 which is five times the SHG value using the narrowband IR source. In both configurations, the hybrid plasmonic structures exhibit >1000 enhancement in the nonlinear conversion efficiency compared to their photonic counterparts. Our results manifest the potential of developing such nanoscale hybrid plasmonic devices for state-of-the-art on-chip nonlinear optics applications.
Fisetin inhibits proliferation of pancreatic adenocarcinoma by inducing DNA damage via RFXAP/KDM4A-dependent histone H3K36 demethylation
Authors: Ding Guoping , Xu Xiaodong , Li Dan , Chen Yuhao , Wang Weimin , Ping Dongnan , Jia Shengnan , Cao Liping 
Published: October 2020

AbstractPancreatic adenocarcinoma (PDAC) is an extremely malignant tumor that is associated with low survival rates. Fisetin is a natural flavonoid that shows diverse antitumor effects, including DNA damage, in various cancers. Increasing studies have demonstrated that epigenetic modifications play critical roles in DNA-damage response. However, the epigenetic regulation mechanism of fisetin in cancers is hardly studied. RFXAP is a critical transcription factor for MHC II molecules, however, its transcriptional role in PDAC is poorly understood. The anti-PDAC effect of fisetin was measured by CCK-8, flow cytometry, xenograft tumor nude mice model. DNA-damage levels were examined by immunofluorescence. Bioinformatics analysis was used to examine the expression of RFXAP and other genes involved in DNA-damage response. ChIP sequencing was used to explore the transcriptional role of RFXAP. The expression of target gene KDM4A was measured by qRT-PCR and western blots. KDM4A promoter activity was analyzed using dual-luciferase reporter assay. RFXAP overexpressing or silencing of PDAC cells was used to explore the effect of RFXAP in DNA damage induced by fisetin. We found that fisetin inhibited cell proliferation and induced DNA damage and S-phase arrest in PDAC. Expression of RFXAP and other DNA-damage response genes were upregulated by fisetin. We revealed that RFXAP expression was relatively low in PDAC and correlated with tumor stage and poor prognosis. Then we explored the transcriptional role of RFXAP and found that RFXAP targeted KDM4A, a special demethylase specific for tri- and dimethylated histone H3K36. We found that overexpression of RFXAP upregulated KDM4A and attenuated methylation of H3K36, thereby impairing DNA repair and enhancing the DNA damage induced by fisetin, while RFXAP silencing showed the opposite effect. We also found the function of fisetin in enhancing the effect of chemotherapy on pancreatic cancer cells. Our findings revealed that fisetin induced DNA damage via RFXAP/KDM4A-dependent histone H3K36 demethylation, thus causing inhibition of proliferation in PDAC.
miR-504 modulates the stemness and mesenchymal transition of glioma stem cells and their interaction with microglia via delivery by extracellular vesicles
Authors: Bier Ariel , Hong Xin , Cazacu Simona , Goldstein Hodaya , Rand Daniel , Xiang Cunli , Jiang Wei , Ben-Asher Hiba Waldman , Attia Moshe , Brodie Aharon , She Ruicong , Poisson Laila M. , Brodie Chaya 
Published: October 2020

AbstractGlioblastoma (GBM) is a highly aggressive tumor with poor prognosis. A small subpopulation of glioma stem cells (GSCs) has been implicated in radiation resistance and tumor recurrence. In this study we analyzed the expression of miRNAs associated with the functions of GSCs using miRNA microarray analysis of these cells compared with human neural stem cells. These analyses identified gene clusters associated with glioma cell invasiveness, axonal guidance, and TGF-β signaling. miR-504 was significantly downregulated in GSCs compared with NSCs, its expression was lower in GBM compared with normal brain specimens and further decreased in the mesenchymal glioma subtype. Overexpression of miR-504 in GSCs inhibited their self-renewal, migration and the expression of mesenchymal markers. The inhibitory effect of miR-504 was mediated by targeting Grb10 expression which acts as an oncogene in GSCs and GBM. Overexpression of exogenous miR-504 resulted also in its delivery to cocultured microglia by GSC-secreted extracellular vesicles (EVs) and in the abrogation of the GSC-induced polarization of microglia to M2 subtype. Finally, miR-504 overexpression prolonged the survival of mice harboring GSC-derived xenografts and decreased tumor growth. In summary, we identified miRNAs and potential target networks that play a role in the stemness and mesenchymal transition of GSCs and the miR-504/Grb10 pathway as an important regulator of this process. Overexpression of miR-504 exerted antitumor effects in GSCs as well as bystander effects on the polarization of microglia via delivery by EVs.
Targeting N-myristoylation for therapy of B-cell lymphomas
Authors: Beauchamp Erwan , Yap Megan C. , Iyer Aishwarya , Perinpanayagam Maneka A. , Gamma Jay M. , Vincent Krista M. , Lakshmanan Manikandan , Raju Anandhkumar , Tergaonkar Vinay , Tan Soo Yong , Lim Soon Thye , Dong Wei-Feng , Postovit Lynne M. , Read Kevin D. , Gray David W. , Wyatt Paul G. , Mackey John R. , Berthiaume Luc G. 
Published: October 2020

AbstractMyristoylation, the N-terminal modification of proteins with the fatty acid myristate, is critical for membrane targeting and cell signaling. Because cancer cells often have increased N-myristoyltransferase (NMT) expression, NMTs were proposed as anti-cancer targets. To systematically investigate this, we performed robotic cancer cell line screens and discovered a marked sensitivity of hematological cancer cell lines, including B-cell lymphomas, to the potent pan-NMT inhibitor PCLX-001. PCLX-001 treatment impacts the global myristoylation of lymphoma cell proteins and inhibits early B-cell receptor (BCR) signaling events critical for survival. In addition to abrogating myristoylation of Src family kinases, PCLX-001 also promotes their degradation and, unexpectedly, that of numerous non-myristoylated BCR effectors including c-Myc, NFκB and P-ERK, leading to cancer cell death in vitro and in xenograft models. Because some treated lymphoma patients experience relapse and die, targeting B-cell lymphomas with a NMT inhibitor potentially provides an additional much needed treatment option for lymphoma.
A charge-density-based general cation insertion algorithm for generating new Li-ion cathode materials
Authors: Shen Jimmy-Xuan , Horton Matthew , Persson Kristin A. 
Published: October 2020

AbstractFuture lithium (Li) energy storage technologies, in particular solid-state configurations with a Li metal anode, opens up the possibility of using cathode materials that do not necessarily contain Li in its as-made state. To accelerate the discovery and design of such materials, we develop a general, chemically, and structurally agnostic methodology for identifying the optimal Li sites in any crystalline material. For a given crystal structure, we attempt multiple Li insertions at symmetrically in-equivalent positions by analyzing the electronic charge density obtained from first-principles density functional theory. In this report, we demonstrate the effectiveness of this procedure in successfully identifying the positions of the Li ion in well-known cathode materials using only the empty host (charged) material as guidance. Furthermore, applying the algorithm to over 2000 candidate cathode empty host materials we obtain statistics of Li site preferences to guide future developments of novel Li-ion cathode materials, particularly for solid-state applications.