bluuebunny/crossref_metadata_2025_split huggingface dataset:
Activating a Community: An Agent‐Based Model of Romp & Chomp, a Whole‐of‐Community Childhood Obesity Intervention
Authors: Kasman Matt , Hammond Ross A. , Heuberger Benjamin , Mack‐Crane Austen , Purcell Rob , Economos Christina , Swinburn Boyd , Allender Steven , Nichols Melanie 
Published: July 2019

ObjectiveSuccessful whole‐of‐community childhood obesity prevention interventions tend to involve community stakeholders in spreading knowledge about and engagement with obesity prevention efforts through the community. This process is referred to by the authors as stakeholder‐driven community diffusion (SDCD). This study uses an agent‐based model in conjunction with intervention data to increase understanding of how SDCD operates.MethodsThis agent‐based model retrospectively simulated SDCD during Romp & Chomp, a 4‐year whole‐of‐community childhood obesity prevention intervention in Victoria, Australia. Stakeholder survey data, intervention records, and expert estimates were used to parameterize the model. Model output was evaluated against criteria derived from empirical data and experts’ estimates of the magnitude and timing of community knowledge and engagement change.ResultsThe model was able to produce outputs that met the evaluation criteria: increases in simulated community knowledge and engagement driven by SDCD closely matched expert estimates of magnitude and timing.ConclusionsStrong suggestive evidence was found in support of a hypothesis that SDCD was a key driver of the success of the Romp & Chomp intervention. Model exploration also provided additional insights about these processes (including where additional data collection might prove most beneficial), as well as implications for the design and implementation of future interventions.
Synthesis of (AB)n‐, AnBn‐, and AxBy‐type amphiphilic and double‐hydrophilic star copolymers by RAFT polymerization
Authors: Skandalis Athanasios , Pispas Stergios 
Published: July 2019

ABSTRACTThe synthesis, characterization, and postpolymerization functionalization of star copolymers by RAFT polymerization, using ethylene glycol dimethacrylate as the difunctional monomer for core formation via crosslinking, is presented in this work. The “arm first” approach was used for the synthesis of PDMAEMAnPOEGMAn double‐hydrophilic mikto‐arm stars and PDMAEMAxPLMAy amphiphilic miktoarm stars, while the “core first” approach was used for the synthesis of (PDMAEMA‐b‐POEGMA)n double‐hydrophilic star block copolymers. Methyl iodide was used as the quaternizing agent for the transformation of the star copolymers into strong cationic star polyelectrolytes, through reaction on the dimethylamino groups of PDMAEMA blocks. The stars were characterized at the molecular level by SEC and proton nuclear magnetic resonance. Preliminary light scattering experiments, using THF and H2O as the solvents, were performed in order to get information regarding the solution behavior of the novel star copolymers synthesized. © 2019 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2019, 57, 1771–1783
Influence of photodegradation and surface modification on the graphene‐diclofenac physisorption process
Authors: Kaczmarek‐Kędziera Anna 
Published: July 2019

AbstractThe present study provides the theoretical investigation of the mutual interaction of diclofenac and its photodegradation product with carbon materials. Because of the known weak interaction between graphene and aromatic molecules, the analyzed material surfaces are modified in order to maximize the mutual material: drug attraction. It is shown that the Stone‐Wales defects and single boron‐nitride pair doping only slightly influence the drug attraction, but the strongest impact is noticed for the introduction of the functional carboxyl group to the graphene sheet that preferably contains moreover single or double vacancies. Here, the additional stabilization with respect to the pristine graphene sheet is on the order of 7 to 10 kcal mol−1. A comparison of the adsorption of neutral acidic diclofenac molecule with its ionized form frequently applied in medical formulations shows that the negative charge accumulated on the carboxylate anion significantly increases the attraction of the drug by the graphene oxide (interaction energy changes from −27.45 to −46.33 kcal mol−1 upon ionization). Symmetry‐adapted perturbation theory applied for the decomposition of the interaction energy into the physically justified components confirms that all the investigated structures are governed by dispersion forces. Supermolecular MP2‐coupled approach with improved dispersion description allows to conclude that common density functional theory (DFT) functionals, including double hybrids with spin‐component scaling and dispersionless Pernal and Podeszwa functional, perform qualitatively well in the case of (modified‐) graphene materials, however, need to be applied with care for their boron‐nitride analogs.
A multi‐biomarker approach supports the use of compound‐specific stable isotope analysis of amino acids to quantify basal carbon source use in a salt marsh consumer
Authors: Johnson Jessica J. , Olin Jill A. , Polito Michael J. 
Published: July 2019

RationaleDetermining the flow of energy from primary producers to higher trophic levels in complex systems remains an important task for ecologists. Biomarkers can be used to trace carbon or energy sources contributing to an organism's tissues. However, different biomarkers vary in their ability to trace carbon sources based on how faithfully they transfer between trophic levels. Comparing emerging biomarker techniques with more commonly used techniques can demonstrate the relative efficacy of each in specific systems.MethodsTwo common biomarker techniques, fatty acid analysis (FAA) and bulk stable isotope analysis (SIA), and one emerging biomarker technique, compound‐specific stable isotope analysis of amino acids (CSIA‐AA), were compared to assess their ability to characterize and quantify basal carbon sources supporting the seaside sparrow (Ammodramus maritimus), a common salt marsh species. Herbivorous insect and deposit‐feeding fiddler crab biomarker values were analyzed as proxies of major terrestrial and aquatic basal carbon sources, respectively.ResultsAll three biomarker techniques indicated that both terrestrial and aquatic carbon sources were important to seaside sparrows. However, FAA could only be evaluated qualitatively, due to a currently limited understanding of trophic modification of fatty acids between primary producer and this consumer's tissues. Quantitative stable isotope (SIA or CSIA‐AA) mixing models predicted nearly equal contributions of terrestrial and aquatic carbon sources supporting seaside sparrows, yet estimates based on CSIA‐AA had greater precision.ConclusionsThese findings support the use of CSIA‐AA as an emerging tool to quantify the relative importance of basal carbon sources in salt marsh consumers. Integrating multiple biomarker techniques, with their differing benefits and limitations, will help to constrain models of carbon and energy flow in future ecosystem studies.
Remote sensing and identification of volcanic plumes using fixed‐wing UAVs over Volcán de Fuego, Guatemala
Authors: Schellenberg Ben , Richardson Tom , Watson Matt , Greatwood Colin , Clarke Robert , Thomas Rick , Wood Kieran , Freer Jim , Thomas Helen , Liu Emma , Salama Francis , Chigna Gustavo 
Published: July 2019

AbstractThis paper describes a series of proof‐of‐concept Beyond Visual Line Of Sight unmanned aerial vehicle flights which reached a range of up to 9 km and an altitude of 4,410 m Above Mean Sea Level over Volcán de Fuego in Guatemala, interacting with the volcanic plume on multiple occasions across a range of different conditions. Volcán de Fuego is an active volcano which emits gas and ash regularly, causing disruption to airlines operating from the international airport 50 km away and impacting the lives of the local population. Collection of data from within the plume develops scientists’ understanding of the composition of the volcano's output and is of use to scientists, aviation, and hazard management groups alike. This paper presents preliminary results of multiple plume interceptions with multiple aircraft, carrying a variety of sensors. A plume‐detection metric is introduced, which uses a combination of flight data and atmospheric sensor data to identify flight through a volcanic plume. Future work will develop the automation of plume tracking such that reliable scientific data sets can be gathered in a robust manner.
Blending under deconstruction
Authors: Confalonieri Roberto , Kutz Oliver 
Published: July 2019

AbstractThe cognitive-linguistic theory of conceptual blending was introduced by Fauconnier and Turner in the late 90s to provide a descriptive model and foundational approach for the (almost uniquely) human ability to invent new concepts. Whilst blending is often described as ‘fluid’ and ‘effortless’ when ascribed to humans, it becomes a highly complex, multi-paradigm problem in Artificial Intelligence. This paper aims at presenting a coherent computational narrative, focusing on how one may derive a formal reconstruction of conceptual blending from a deconstruction of the human ability of concept invention into some of its core components. It thus focuses on presenting the key facets that a computational framework for concept invention should possess. A central theme in our narrative is the notion of refinement, understood as ways of specialising or generalising concepts, an idea that can be seen as providing conceptual uniformity to a number of theoretical constructs as well as implementation efforts underlying computational versions of conceptual blending. Particular elements underlying our reconstruction effort include ontologies and ontology-based reasoning, image schema theory, spatio-temporal reasoning, abstract specification, social choice theory, and axiom pinpointing. We overview and analyse adopted solutions and then focus on open perspectives that address two core problems in computational approaches to conceptual blending: searching for the shared semantic structure between concepts—the so-called generic space in conceptual blending—and concept evaluation, i.e., to determine the value of newly found blends.
The effect of Merpol surfactant on the morphology and performance of PES/PVP membranes: antibiotic separation
Authors: Omidvar Maryam , Hejri Zahra , Moarefian Ahmad 
Published: July 2019

AbstractThe present study used modified nanofiltration (NF) membranes to remove the emerging contaminant of amoxicillin (AMX) from synthetic wastewater. For this purpose, Merpol surfactant and polyvinylpyrrolidone were added to the casting solutions to prepare flat sheet asymmetric polyethersulfone (PES) NF membranes through phase inversion process. Then, the effect of adding Merpol surfactant at different concentrations on the morphology, hydrophilicity, and pure water flux (PWF) of the membranes, as well as the separation of AMX from aqueous solutions was investigated. The characteristics of the prepared membranes were studied by scanning electron microscopy (SEM), field emission scanning electron microscopy (FESEM), contact angle (CA) measurement and performance tests. The obtained results approved the improved hydrophilicity of the PES membranes after adding Merpol surfactant to the casting solution. The findings also revealed a gradual increase in the average size of the membrane pores in sub-layer and thinner top layer, proportional to the increase of surfactant content in the solution. The results also confirmed the increase of PWF under the influence of surfactant increase. As a result, for the membrane containing 8 wt% Merpol additive, the lowest CA (52.08°), the highest PWF (76.31 L/m2 h), and maximum AMX excretion (97%) were achieved.
Globalization and comparative compositional inequality
Authors: Philips Andrew Q. , Souza Flávio D. S. , Whitten Guy D. 
Published: July 2019

AbstractGlobalization has been one of the biggest driving forces of the last half century. There has been substantial disagreement about the impact that increased international integration has on income inequality. Though most agree that globalization positively affects economic output, it is no surprise that it leads to relative winners and losers within nations. The question that remains is where in the income distribution are these relative gains and losses occurring? We offer a broader picture of globalization's effects on inequality by using a dynamic compositional approach to test the impact of globalization and relative factor endowments on the composition of income. Using data from four countries, we model the effects of globalization on quantiles of the income distribution. Our findings suggest that globalization has substantial (and divergent) effects across income strata, and that these effects differ across nations based on relative factor endowments.
Preliminary Test of the EA-AGE3 System for 14C Measurement of CaCO3 Samples and Coral-Based Estimation of Marine Reservoir Correction in the Ogasawara Islands, Northwestern Subtropical Pacific
Authors: Saito-Kokubu Yoko , Mitsuguchi Takehiro , Watanabe Takahiro , Yamada Tsutomu , Asami Ryuji , Iryu Yasufumi 
Published: July 2019

ABSTRACTWe conducted a preliminary test of the coupled system of an elemental analyzer and the automated graphitization equipment Ionplus AGE3 (EA-AGE3 method) for accelerator mass spectrometry radiocarbon (AMS 14C) measurements of CaCO3 samples, by comparing with the conventional method where the samples are hydrolyzed in phosphoric acid and resulting CO2 gas is manually graphitized in a vacuum line (HPA method). The samples used in the test were the IAEA C2 travertine, fossil and modern corals from the Ryukyu Islands and the Ogasawara Islands, respectively (both are located in the northwestern subtropical Pacific). Results indicate that, relative to the HPA method, the EA-AGE3 method tends to cause an increase of ~0.4–0.5 pMC with more widely scattered data. This is presumably due to 14C contamination in the EA (the most likely cause seems to be a memory effect of 14C); this effect could be reduced by careful optimization of conditions and procedures in the EA process. The 14C data of pre-bomb annual bands (1931–1949 AD) in the modern Ogasawara coral obtained by the HPA method were used to estimate the marine reservoir 14C-age correction (ΔR) of this region; it ranges from –109 yr to –28 yr with the mean value with standard deviation of –81 ± 29 yr.
Testing Orthopyroxene Diffusion Chronometry on Rocks From the Lanzo Massif (Italian Alps)
Authors: Jollands Michael C. , Müntener Othmar 
Published: July 2019

AbstractRocks from the northern and central zones of the Lanzo peridotite massif contain large (>3 mm) orthopyroxene crystals, often within a fine‐grained matrix. The rocks have been decompressed and cooled from the spinel peridotite field, via plagioclase peridotite to near the ocean floor. Orthopyroxene preserves evidence of the early part of this cooling history in the form of Cr and Al (plus various trace elements) loss profiles. Independent geological constraints can be placed on the cooling rates by considerations of absolute age (slowest possible cooling rate) and thermal modeling (fastest possible cooling rate), allowing a test of cooling rates retrieved from orthopyroxene diffusion chronometry. Quantitative profiles (mostly along the crystallographic c axis) and qualitative maps were measured for a series of orthopyroxene crystals, and the cooling rate extracted by diffusion modeling. It is possible to successfully extract reliable cooling rates from frozen Cr diffusion profiles in orthopyroxene, suggesting that the available experimental data are applicable to natural orthopyroxene. However, there are caveats related to the diffusion mechanism, boundary conditions when passing through the spinel‐plagioclase peridotite transition, and the potential effect of ubiquitous clinopyroxene exsolution lamellae on diffusion pathways and element partitioning. The usual issues of extracting 2‐D or 1‐D data from a 3‐D system apply, in addition to issues relating to shearing of orthopyroxene grains leading to moving boundaries. Al diffusion in orthopyroxene may be a more useful tool than Cr for assessing cooling rates, but its diffusivity is currently unconstrained.
Modeled Subglacial Water Flow Routing Supports Localized Intrusive Heating as a Possible Cause of Basal Melting of Mars' South Polar Ice Cap
Authors: Arnold N. S. , Conway S. J. , Butcher F. E. G. , Balme M. R. 
Published: July 2019

AbstractThe discovery of an ~20‐km‐wide area of bright subsurface radar reflections, interpreted as liquid water, beneath the Martian south polar layered deposits (SPLD) in data from the Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) instrument, and the discovery of two geologically recent potential eskers (landforms produced by subglacial melt) associated with viscous flow features in Martian midlatitudes, has suggested recent basal melting of Martian ice deposits may be feasible, possibly due to locally elevated geothermal heating. Locations of terrestrial subglacial lakes and major drainage axes have been successfully predicted from subglacial hydraulic potential surfaces calculated from surface topography and ice thickness. Here, we use surface topography from the Mars Orbiter Laser Altimeter and SPLD bed elevations derived from MARSIS data to calculate the subglacial hydraulic potential surface beneath the SPLD and determine whether the observed high reflectance area coincides with predicted subglacial lake locations. Given the sensitivity of terrestrial predictions of lake locations to basal topography, we derive over 1,000 perturbed topographies (using noise statistics from the MARSIS data) to infer the most likely locations of possible subglacial water bodies and drainage axes. Our results show that the high reflectance area does not coincide with any substantial predicted lake locations; three nearby lake locations are robustly predicted however. We interpret this result as suggesting that the high reflectance area (assuming the interpretation as liquid is correct) is most likely a hydraulically isolated patch of liquid confined by the surrounding cold‐based ice, rather than a topographically‐constrained subglacial lake.
Jumonji domain-containing 6 (JMJD6) identified as a potential therapeutic target in ovarian cancer
Authors: Zheng Heng , Tie Yan , Fang Zhen , Wu Xiaoai , Yi Tao , Huang Shuang , Liang Xiao , Qian Yanping , Wang Xi , Pi Ruyu , Chen Siyuan , Peng Yong , Yang Shengyong , Zhao Xia , Wei Xiawei 
Published: July 2019

AbstractJumonji domain-containing 6 (JMJD6) is a candidate gene associated with tumorigenesis, and JMJD6 overexpression predicts poor differentiation and unfavorable survival in some cancers. However, there are no studies reporting the expression of JMJD6 in ovarian cancer, and no JMJD6 inhibitors have been developed and applied to targeted cancer therapy research. In the present study, we found that the high expression of JMJD6 in ovarian cancer was correlated with poor prognosis in ovarian cancer. A potential inhibitor (SKLB325) was designed based on the crystal structure of the jmjC domain of JMJD6. This molecule significantly suppressed proliferation and induced apoptosis in a dose-dependent manner in SKOV3 cell lines as detected by CCK-8 cell proliferation assays and flow cytometry. A Matrigel endothelial tube formation assay showed that SKLB325 inhibited capillary tube organization and migration in HUVECs in vitro. We also observed that JMJD6 colocalized with p53 protein in the nucleus, with mRNA and protein expression of p53 as well as its downstream effectors significantly increasing both in vitro and in intraperitoneal tumor tissues treated with SKLB325. In addition, SKLB325 significantly reduced the intraperitoneal tumor weight and markedly prolonged the survival of tumor-bearing mice. Taken together, our findings suggest that JMJD6 may be a marker of poor prognosis in ovarian cancer and that SKLB325 may be a potential candidate drug for the treatment of ovarian cancer.
Erythropoietin modulates bone marrow stromal cell differentiation
Authors: Suresh Sukanya , de Castro Luis Fernandez , Dey Soumyadeep , Robey Pamela G. , Noguchi Constance Tom 
Published: July 2019

AbstractErythropoietin is essential for bone marrow erythropoiesis and erythropoietin receptor on non-erythroid cells including bone marrow stromal cells suggests systemic effects of erythropoietin. Tg6 mice with chronic erythropoietin overexpression have a high hematocrit, reduced trabecular and cortical bone and bone marrow adipocytes, and decreased bone morphogenic protein 2 driven ectopic bone and adipocyte formation. Erythropoietin treatment (1 200 IU·kg–1) for 10 days similarly exhibit increased hematocrit, reduced bone and bone marrow adipocytes without increased osteoclasts, and reduced bone morphogenic protein signaling in the bone marrow. Interestingly, endogenous erythropoietin is required for normal differentiation of bone marrow stromal cells to osteoblasts and bone marrow adipocytes. ΔEpoRE mice with erythroid restricted erythropoietin receptor exhibit reduced trabecular bone, increased bone marrow adipocytes, and decreased bone morphogenic protein 2 ectopic bone formation. Erythropoietin treated ΔEpoRE mice achieved hematocrit similar to wild-type mice without reduced bone, suggesting that bone reduction with erythropoietin treatment is associated with non-erythropoietic erythropoietin response. Bone marrow stromal cells from wild-type, Tg6, and ΔEpoRE-mice were transplanted into immunodeficient mice to assess development into a bone/marrow organ. Like endogenous bone formation, Tg6 bone marrow cells exhibited reduced differentiation to bone and adipocytes indicating that high erythropoietin inhibits osteogenesis and adipogenesis, while ΔEpoRE bone marrow cells formed ectopic bones with reduced trabecular regions and increased adipocytes, indicating that loss of erythropoietin signaling favors adipogenesis at the expense of osteogenesis. In summary, endogenous erythropoietin signaling regulates bone marrow stromal cell fate and aberrant erythropoietin levels result in their impaired differentiation.