bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Initial Study Into the Long‐Term Influence of Solar Wind Dynamic Pressure on Jupiter's Thermosphere
Authors: Yates J. N. , Ray L. C. , Achilleos N. 
Published: October 2018

AbstractJupiter's thermosphere is ∼700 K hotter than expected if it were heated only by solar extreme ultraviolet radiation. Other, more effective heat sources are therefore necessary to explain the high observed temperatures ≥900 K. It has been suggested that heating resulting from the atmospheric interaction with Jupiter's dynamic magnetosphere could account for the excess heat required. However to date, no numerical models have been successful at reproducing Jupiter's hot thermosphere without invoking essentially ad hoc heating mechanisms. Work presented in Yates et al. (2014, https://doi.org/10.1016/j.pss.2013.11.009) emphasized the importance of incorporating time dependence in magnetosphere‐ionosphere‐thermosphere coupling when simulating this aspect of the Jovian system. We extend their model (for a single magnetospheric compression or expansion) to simulate the response of thermospheric heating to multiple shocks and rarefactions in the solar wind for the first time. We employ a configurable magnetosphere model coupled to an azimuthally symmetric general circulation model. We compare the response of thermospheric temperatures to these consecutive magnetospheric reconfigurations over a period of 100 Jovian rotations. We find that the thermal structure of our model thermosphere does not respond significantly to such a prolonged period of magnetospheric reconfigurations. Thermospheric mean temperatures increase by a maximum of ∼15 K throughout our simulation. The high‐latitude and high‐altitude thermosphere is most influenced by magnetospheric reconfigurations. While this simulation shows that magnetospheric reconfigurations can heat the thermosphere, it also shows the need to consider a more realistic representation of the coupled Jovian system as well as alternate sources of heating not dependent on the magnetosphere.
Electron Cyclotron Harmonic Wave Instability by Loss Cone Distribution
Authors: Liu Xu , Chen Lunjin , Gu Wenyao , Zhang Xiao‐Jia 
Published: October 2018

AbstractWe propose a new method to construct a controllable and quantifiable loss cone distribution. Then, we derive a linear growth rate formula of the electrostatic mode for a realistic and arbitrary distribution function. Such formula is used to perform a parametric study of instability analysis of the electron cyclotron harmonic (ECH) wave in a plasma consisting of electron loss cone distribution and isotropic cold electron distribution. We find (1) the peak linear growth rate and the corresponding wave frequency increase with the loss cone size. The wave frequency of peak growth rate is about 1.5 and 2.5 times electron cyclotron frequency when loss cone is about 4–6° wide. The wave normal angle corresponding to the growth rate peak decreases with the loss cone size. (2) Increasing hot electron temperature anisotropy decreases the growth rate but hardly changes the wave frequency and wave normal angle corresponding to the growth rate peak. (3) Increasing hot electron parallel temperature tends to increase both the peak growth rate and wave normal angle but only change the corresponding wave frequency slightly. (4) The peak growth rate and its corresponding wave frequency increase with ωpe/|Ωe| for wavebands above or passing upper hybrid resonance frequency ωUHR and almost remain unchanged for wavebands below ωUHR. (5) Increasing cold electron temperature tends to decrease wave frequency and increase wave normal angle and peak growth rate for wavebands below ωUHR. The impact of our work on ECH wave generation and the significance of ECH waves on diffuse aurora are also discussed.
Origin, Transformation, and Fate: The Three‐Dimensional Biological Pump in the California Current System
Authors: Frischknecht M. , Münnich M. , Gruber N. 
Published: October 2018

AbstractWhile the Ekman drift as the cause for the high productivity of the California Current System was unraveled more than a century ago, it is less clear where the nutrients within the upwelling waters are coming from, and what the fate of the produced organic matter is. Here we address these questions using a high‐resolution simulation with a regional coupled physical/biogeochemical/ecological model within a Pacific Ocean setup. Our results, emerging from both Eulerian and Lagrangian analyses, reveal that prior to coastal production, inorganic nutrients get transported laterally over thousands of kilometers toward central California. More than 80% of the nutrients originate from central offshore or southern alongshore locations. About half of it is supplied by the California Undercurrent alone, underscoring its importance in sustaining the high coastal productivity. Even though most of the inorganic nutrients get quickly transformed into organic matter once upwelled to the euphotic layer along the coast, a substantial fraction remains unused. Together with these unused nutrients, about 36% of the organic matter produced within the nearshore 100 km gets laterally exported toward the open ocean, mostly in southwestward direction. This leakage of inorganic nutrients from the coastal zone and the continuous recycling of organic matter along the way support up to 24% of the overall observed production at a distance of 500 km from the coast. This set of processes linking the origin, biological transformation, and fate of nutrients support the growing view of the biological pump being an inherently three‐dimensional process.
In Situ Observations Connected to the Io Footprint Tail Aurora
Authors: Szalay J. R. , Bonfond B. , Allegrini F. , Bagenal F. , Bolton S. , Clark G. , Connerney J. E. P. , Ebert R. W. , Ergun R. E. , Gladstone G. R. , Grodent D. , Hospodarsky G. B. , Hue V. , Kurth W. S. , Kotsiaros S. , Levin S. M. , Louarn P. , Mauk B. , McComas D. J. , Saur J. , Valek P. W. , Wilson R. J. 
Published: October 2018

AbstractThe Juno spacecraft crossed flux tubes connected to the Io footprint tail at low Jovian altitudes on multiple occasions. The transits covered longitudinal separations of approximately 10° to 120° along the footprint tail. Juno's suite of magnetospheric instruments acquired detailed measurements of the Io footprint tail. Juno observed planetward electron energy fluxes of ~70 mW/m2 near the Io footprint and ~10 mW/m2 farther down the tail, along with correlated, intense electric and magnetic wave signatures, which also decreased down the tail. All observed electron distributions were broad in energy, suggesting a dominantly broadband acceleration process, and did not show any broad inverted‐V structure that would be indicative of acceleration by a quasi‐static, discrete, parallel potential. Observed waves were primarily below the proton cyclotron frequency, yet identification of a definitive wave mode is elusive. Beyond 40° down the footprint tail, Juno observed depleted upward loss cones, suggesting that the broadband acceleration occurred at distances beyond Juno's transit distance of 1.3 to 1.7 RJ. For all transits, Juno observed fine structure on scales of approximately tens of kilometers and confirmed independently with electron and wave measurements that a bifurcated tail can intermittently exist.
Variability in Coral‐Reconstructed Sea Surface Salinity Between the Northern and Southern Lombok Strait Linked to East Asian Winter Monsoon Mean State Reversals
Authors: Murty S. A. , Goodkin N. F. , Wiguna A. A. , Gordon A. L. 
Published: October 2018

AbstractThe Indonesian throughflow (ITF) impacts heat and buoyancy transport from the Pacific Ocean to the Indian Ocean, influencing air‐sea heat exchange and Indo‐Pacific climate. Nearly 80% of the total 15 sverdrups (1 Sv = 106 m3/s) of ITF water moves through the Makassar Strait in the western Indonesian seas, with ~20% of total ITF transport subsequently entering the Indian Ocean through the Lombok Strait. During the East Asian winter monsoon (EAWM), buoyant South China Sea (SCS) waters obstruct southward surface ITF transport in the Makassar Strait, likely impacting surface variability throughout the Lombok Strait. Here we present two subannually resolved, multicentury records of coral‐reconstructed sea surface salinity (SSS) from the northern (110 years) and southern Lombok Strait (193 years). Differences in boreal winter (January–March) SSS variability between the two sites suggest the influence of multiple source waters. Instrumental and reconstructed temperature‐salinity (T‐S) relationships indicate that SCS surface waters dominate the northern Lombok Strait, while Indian Ocean surface waters instead dominate the southern Lombok Strait before 1960. These dissimilarities are likely due to changes in monsoon‐driven surface water advection. At the northern site, the EAWM consistently influences SSS variability. The EAWM influence at the southern site, however, reverses in direction (inverse to direct) coincidentally with a transition from a positive (strong) to negative (weak) EAWM state in 1960. Our records collectively reveal that changes in the strength and state of the EAWM impact Lombok Strait surface water circulation, likely interacting with southward ITF transport and thus Indo‐Pacific climate.
Predicting Downstream Concentration Histories From Upstream Data in Column Experiments
Authors: Sherman Thomas , Foster Allan , Bolster Diogo , Singha Kamini 
Published: October 2018

AbstractThe scales of heterogeneity present in geologic media make modeling solute transport extremely challenging, even in idealized laboratory settings. The spatial Markov model (SMM) is an anomalous transport model that has been shown to accurately capture solute transport in a broad range of highly complex and heterogeneous hydrogeologic settings. However, to date, its applications are almost entirely limited to synthetic, numerically simulated systems due to the dense data required to parameterize it, which are typically unobtainable in real experiments. Here we apply a novel SMM inverse model that required only breakthrough curve measurements from laboratory transport experiments in zeolite‐packed columns that are known to display anomalous transport. We introduce an experimental design that allows for simultaneous measurements of breakthrough curves at multiple sampling locations within a one‐dimensional column setup. For the first time, we apply a fully parameterized SMM to successfully predict downgradient breakthrough curves. Results show that breakthrough curve prediction accuracy significantly improves when accounting for correlation effects in these experiments, a feature that the SMM is specifically designed to capture but that most traditional anomalous transport frameworks ignore. We do so for two different Péclet numbers, providing a parsimonious framework that can potentially account for correlation statistics in different field‐scale studies.
Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data
Authors: Tang Guoqiang , Long Di , Behrangi Ali , Wang Cunguang , Hong Yang 
Published: October 2018

AbstractSatellite remote sensing is able to provide information on global rain and snow, but challenges remain in accurate estimation of precipitation rates, particularly in snow retrieval. In this work, the deep neural network (DNN) is applied to estimate rain and snow rates in high latitudes. The reference data for DNN training are provided by two spaceborne radars onboard the Global Precipitation Measurement (GPM) Core Observatory and CloudSat. Passive microwave data from the GPM Microwave Imager (GMI), infrared data from MODerate resolution Imaging Spectroradiometer and environmental data from European Centre for Medium‐Range Weather Forecasts are trained to the spaceborne radar‐based reference precipitation. The DNN estimates are compared to data from the Goddard Profiling Algorithm (GPROF), which is used to retrieve passive microwave precipitation for the GPM mission. First, the DNN‐based retrieval method performs well in both training and testing periods. Second, the DNN can reveal the advantages and disadvantages of different channels of GMI and MODerate resolution Imaging Spectroradiometer. Additionally, infrared and environmental data can improve precipitation estimation of the DNN, particularly for snowfall. Finally, based on the optimized DNN, rain and snow are estimated in 2017 from orbital GMI brightness temperatures and compared to ERA‐Interim and Modern‐Era Retrospective analysis for Research and Applications Version 2 reanalysis data. Evaluation results show that (1) the DNN can largely mitigate the underestimation of precipitation rates in high latitudes by GPROF; (2) the DNN‐based snowfall estimates largely outperform those of GPROF; and (3) the spatial distributions of DNN‐based precipitation are closer to reanalysis data. The method and assessment presented in this study could potentially contribute to the substantial improvement of satellite precipitation products in high latitudes.
Plasticity of a holobiont: desiccation induces fasting-like metabolism within the lichen microbiota
Authors: Cernava Tomislav , Aschenbrenner Ines Aline , Soh Jung , Sensen Christoph W , Grube Martin , Berg Gabriele 
Published: October 2018

Abstract
The role of host-associated microbiota in enduring dehydration and drought is largely unknown. We have used lichens to study this increasingly important problem because they are the organisms that are optimally adapted to reoccurring hydration/dehydration cycles, and they host a defined and persistent bacterial community. The analysis of metatranscriptomic datasets from bacterial communities of the lung lichen (Lobaria pulmonaria (L.) Hoffm.), sampled under representative hydration stages, revealed significant structural shifts and functional specialization to host conditions. The hydrated samples showed upregulated transcription of transport systems, tRNA modification and various porins (Omp2b by Rhizobiales), whereas the desiccated samples showed different functions related to stress adaption prominently. Carbohydrate metabolism was activated under both conditions. Under dry conditions, upregulation of a specialized ketone metabolism indicated a switch to lipid-based nutrition. Several bacterial lineages were involved in a functional transition that was reminiscent of a ‘fasting metaorganism’. Similar functional adaptions were assigned to taxonomically unrelated groups, indicating hydration-related specialization of the microbiota. We were able to show that host-associated bacterial communities are well adapted to dehydration by stress protection and changes of the metabolism. Moreover, our results indicate an intense interplay in holobiont functioning under drought stress.
Bone marrow infiltrated Lnc-INSR induced suppressive immune microenvironment in pediatric acute lymphoblastic leukemia
Authors: Wang Yaping , Yang Xiaoyun , Sun Xiaoyan , Rong Liucheng , Kang Meiyun , Wu Peng , Ji Xiaohui , Lin Rufeng , Huang Jie , Xue Yao , Fang Yongjun 
Published: October 2018

AbstractImmune escape due to immunosuppressive microenvironments, such as those associated with regulatory T (Treg) cells is highly associated with initial occurrence and development of solid tumors or hematologic malignancies. Here, we employed high-throughput transcriptome screening to demonstrate immunosuppression-associated increases in the long noncoding (lnc) RNA lnc-insulin receptor precursor (INSR), which was corrected with INSR expression in CD4+ T cells extracted from the bone marrow of patients with childhood acute T lymphoblastic leukemia. Loss-of-function and gain-of-function assays in vitro and in vivo revealed that membrane-localized and cytoplasm-localized lnc-INSR promoted Treg distribution and decreased the percentage of cytotoxic T lymphocytes, which induced tumor growth. Through direct binding with INSR, lnc-INSR blocked the INSR ubiquitination site, causing abnormal activation of INSR and the phosphatidylinositide 3-kinase/AKT-signaling pathway. These results indicated that lnc-INSR might promote immune suppression by enhancing Treg-cell differentiation and serve as valuable therapeutic targets in the immunosuppressive tumor microenvironment.
One-step synthesis of Fe3PtPd(OH)2[Picolinic acid]8(H2O)4 hybrid nanorods: efficient and stable electrocatalyst for oxygen reduction reaction in alkaline solution
Authors: Asiabi Hamid , Yamini Yadollah , Shamsayei Maryam , Saievar-Iranizad Esmaiel , Bayat Amir , kaverlavani Saeid Kamari 
Published: October 2018

AbstractDesign and synthesis of effective electrocatalysts for oxygen reduction reaction in alkaline environments is critical to reduce energy losses in alkaline fuel cells. We have systematically evaluated new approaches for reducing the Pt content while retaining the activity of a Pt-based catalyst with hydrolytic phases containing hydroxide moieties in addition to metal ions and ligands. We report for the first time architectured organic-inorganic hybrid nanorod catalyst, which is fabricated by solvothermal reaction of K2MCl4 (M = Pd, Pt) with picolinic acid (PA) (chelating agent) in the presence of FeCl2. Excess base produces isostructural coordination M-PA complex to Fe-OH chains. A generic formula can be written as Fe3PtPd(OH)2[PA]8(H2O)4. The electrocatalytic activities of the hybrid nanorods are explored for oxygen reduction reaction (ORR) in alkaline medium. The onset potential of ORR is significantly reduced with a positive shift of about 109 mV and twice the reduction current density is observed in comparison with Pt/C with the same mass loading. We believe that this work may lead towards the development of heterodoped organic- inorganic hybrid materials with greatly enhanced activity and durability for applications in catalysis and energy conversion.
Replication of results from a cervical cancer genome-wide association study in Taiwanese women
Authors: Yang Yuh-Cheng , Chang Tzu-Yang , Chen Tze-Chien , Lin Wen-Shan , Lin Chiung-Ling , Lee Yann-Jinn 
Published: October 2018

AbstractGenetic epidemiological studies show that genetic factors contribute significantly to cervical cancer carcinogenesis. Several genome-wide association studies (GWAS) have revealed novel genetic variants associated with cervical cancer susceptibility. We aim to replicate 4 GWAS-identified single nucleotide polymorphisms (SNPs), which were associated with invasive cervical cancer in Chinese women, in a Taiwanese population. The rs13117307 C/T, rs8067378 A/G, rs4282438 G/T, and rs9277952 A/G SNPs were genotyped in 507 women with cervical squamous cell carcinoma (CSCC) and 432 age/sex matched healthy controls by using TaqMan PCR Assay. Human papillomavirus (HPV) DNA test and typing were performed in CSCC patients. Only the rs4282438 SNP was found to be significantly associated (G allele, odds ratio [OR] = 0.67, P = 1.5 × 10−5). This protective association remained in HPV-16 positive CSCC subgroup (G allele, OR = 0.60, P = 1.2 × 10−5). In conclusion, our study confirms the association of rs4282438 SNP with CSCC in a Taiwanese population. However, larger sample sets of other ethnic groups are required to confirm these findings.
Relationships Between Neuromuscular Function and Functional Balance Performance in Firefighters
Authors: Mota Jacob A. , Barnette Timothy J. , Gerstner Gena R. , Giuliani Hayden K. , Tweedell Andrew J. , Kleinberg Craig R. , Thompson Brennan J. , Pietrosimone Brian , Ryan Eric D. 
Published: October 2018

AbstractThe purpose of the present study was to examine the relationships between neuromuscular function and functional balance performance in firefighters. Fifty career firefighters (35.1 ± 7.5 yr) performed isometric leg extension and flexion muscle actions to examine peak torque (PT), and absolute (aTQ) and normalized (nTQ; %PT) rapid torque variables at 50, 100, 150, and 200 ms. A performance index (PI) was determined from the functional balance assessment completion time. Partial correlations were used to examine the relationship between the PI and the maximal and rapid TQ variables for each muscle and the composite value, while controlling for demographic data related to the PI. Multiple regression analyses examined the relative contributions of the maximal and rapid aTQ variables, and demographic data on the PI. After controlling for age and %BF, the majority of the later aTQ and nTQ variables (100–200 ms) and PT were associated with the PI (r = −0.501–−0.315). Age, %BF, and aTQ100 explained 42–50% of the variance in the PI. Lower rapid strength, increased age, and poorer body composition were related to worse performance during the functional balance assessment. Strategies to improve rapid strength and %BF, especially in aging firefighters may impact dynamic balance abilities in firefighters.
Identification and characterization of two zebrafish Twik related potassium channels, Kcnk2a and Kcnk2b
Authors: Nasr Nathalie , Faucherre Adèle , Borsotto Marc , Heurteaux Catherine , Mazella Jean , Jopling Chris , Moha ou Maati Hamid 
Published: October 2018

AbstractKCNK2 is a 2 pore domain potassium channel involved in maintaining cellular membrane resting potentials. Although KCNK2 is regarded as a mechanosensitive ion channel, it can also be gated chemically. Previous research indicates that KCNK2 expression is particularly enriched in neuronal and cardiac tissues. In this respect, KCNK2 plays an important role in neuroprotection and has also been linked to cardiac arrhythmias. KCNK2 has subsequently become an attractive pharmacologic target for developing preventative/curative strategies for neuro/cardio pathophysiological conditions. Zebrafish represent an important in vivo model for rapidly analysing pharmacological compounds. We therefore sought to identify and characterise zebrafish kcnk2 to allow this model system to be incorporated into therapeutic research. Our data indicates that zebrafish possess two kcnk2 orthologs, kcnk2a and kcnk2b. Electrophysiological analysis of both zebrafish Kcnk2 orthologs shows that, like their human counterparts, they are activated by different physiological stimuli such as mechanical stretch, polyunsaturated fatty acids and intracellular acidification. Furthermore, both zebrafish Kcnk2 channels are inhibited by the human KCNK2 inhibitory peptide spadin. Taken together, our results demonstrate that both Kcnk2a and Kcnk2b share similar biophysiological and pharmacological properties to human KCNK2 and indicate that the zebrafish will be a useful model for developing KCNK2 targeting strategies.
High gain SIW cavity backed differential slot antenna for X‐band applications
Authors: Srivastava G. , Mohan A. 
Published: October 2018

A new differential substrate integrated waveguide (SIW) antenna with good common‐mode (CM) suppression and high gain is presented. The designed antenna uses an H‐shaped slot backed by SIW cavity and is differentially excited by two microstrip feedlines from two opposite sides of the cavity. The measured differential impedance bandwidth of the proposed antenna is 10.19–11.03 GHz with CM suppression below 2 dB. The designed differential antenna exhibits a high gain of 8.7 dBi with a good front‐to‐back ratio of 21 dB.
Elektrohypersensitivität
Authors: Ohnsorge Peter 
Published: October 2018

ZusammenfassungElektrische, magnetische oder elektromagnetische Felder können zu einem erhöhten Einstrom von Kalzium in die Zelle führen mit diversen Folgen, die eine Elektrohypersensitivität auslösen können. Bei dieser komplexen Multisystemerkrankung sind zur Diagnose sämtliche Trigger / Stressoren aufzuspüren und diese in der Therapie zu eliminieren. Wichtiger Bestandteil der Behandlung ist neben einer Kontaktunterbrechung die Orthomolekularmedizin. Eine Kasuistik veranschaulicht die Komplexität in Wahrnehmung, Diagnostik und Therapie der Elektrohypersensitivität.