bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global Consensus Frameworks, Standards, Guidelines, and Tools: Their Implications in International Development Policy and Practice
Authors: Pokharel Suresh , Spencer Caroline , McArdle Dudley , Archer Francis 
Published: October 2019

AbstractIn the present world, International Consensus Frameworks, commonly called global frameworks or global agendas, guide international development policies and practices. They guide the development of all countries and influence the development initiatives by their respective governments. Recent global frameworks, adopted mostly post-2015, include both a group of over-arching frameworks (eg, the Sendai Framework for Disaster Risk Reduction [SFDRR]) and a group of frameworks addressing specific issues (eg, the Dhaka Declaration on Disability and Disaster Risk Management). These global frameworks serve twin purposes: first, to set a global development standard, and second, to set policies and approaches to achieve these standards. A companion group of professional standards, guidelines, and tools (ie, Sphere’s Humanitarian Charter and Minimum Standards) guide the implementation and operationalization of these frameworks on the ground.This paper gathers these global frameworks and core professional guidelines in one place, presents an analytical review of their essential features, and highlights the commonalities and differences between and among these frameworks. The aim of this paper is to facilitate understanding of these frameworks and to help in designing development and resilience policy, planning, and implementation, at international and national levels, where these frameworks complement and contribute to each other.This Special Report describes an important and evolving aspect of the discipline and provides core information necessary to progress the science. Additionally, the report will help governments and policy makers to define their priorities and to design policies/strategies/programs to reflect the global commitments. Development practitioners can pre-empt the focus of the international community and the assistance coming from donors to the priority sectors, as identified in the global agenda. This would then help governments and stakeholders to develop and design a realistic plan and program and prepare the instruments and mechanisms to deliver the goals.
Looking on the bright side and seeing it vividly: interpretation bias and involuntary mental imagery are related to risk for bipolar disorder
Authors: Peckham Andrew D. , Modavi Kiana , Johnson Sheri L. 
Published: October 2019

AbstractBackground:Involuntary mental imagery is elevated among people with bipolar disorder, and has been shown to shape biases in interpretation of ambiguous information. However, it is not clear whether biases in interpretation of ambiguous scenarios can be observed in those at risk for bipolar disorder, or whether involuntary imagery is related to such a bias.Aims:In the present study, we extended a prominent model of bipolar cognition to an at-risk sample. We specifically tested whether positive interpretation bias and involuntary mental imagery are linked to a greater risk of bipolar disorder.Method:Young adults (N = 169) completed measures of risk for bipolar disorder (the Hypomanic Personality Scale [HPS]), interpretation bias, and involuntary mental imagery.Results:Higher scores on the HPS were significantly correlated with more positive interpretations of ambiguous scenarios (β = 0.29, p <. 01) and more frequent involuntary mental imagery (β = 0.22, p < .01). There was no evidence of an interaction between interpretation bias and mental imagery in predicting HPS score, β = .04, p = .62.Conclusions:Further research is warranted to determine if intrusive imagery or interpretation bias influence the development of bipolar disorder over time in those at risk.
The effect of egg consumption on cardiometabolic health outcomes: an umbrella review
Authors: Mah Eunice , Chen C-Y Oliver , Liska DeAnn J 
Published: October 2019

AbstractObjective:This umbrella review provides an overview of the consistency and gaps in the evidence base on eggs and cardiometabolic health.Design:PubMed, Web of Science, Cochrane Library, the Nutrition Evidence Systematic Review and Agency for Healthcare Research and Quality databases were screened for evidence-based reviews in English that assessed human studies on egg consumption and cardiometabolic outcomes.Results:Seven systematic reviews and fifteen meta-analyses were identified, with eighteen of these published since 2015. Overall, the systematic reviews were of low quality, while meta-analyses were of moderate- to high-quality. No association of increased egg intake and risks of heart disease or stroke in the general population were found in the meta-analyses. Increased risk of heart failure was noted in two meta-analyses that analysed the same three cohort studies. Five recent meta-analyses reported no increased risk of type 2 diabetes mellitus (T2DM) in the general population, although increased risk in US-based populations only has been reported. Older (<2013) meta-analyses reported increased risks of cardiovascular disease (CVD) or heart disease in T2DM populations, and no recent evidence-based reviews were identified. Finally, only one meta-analysis reported intervention studies specifically on eggs and biomarkers (i.e. lipids), and the results contradicted those from observation studies.Conclusions:Recent evidence-based reviews conclude that increased egg consumption is not associated with CVD risk in the general population. More research is needed on the positive associations between egg consumption and heart failure and T2DM risk, as well as CVD risk in diabetics, before firm conclusions can be made.
Yellowstone Plume Conduit Tilt Caused by Large‐Scale Mantle Flow
Authors: Steinberger B. , Nelson P. L. , Grand S. P. , Wang W. 
Published: October 2019

AbstractMantle plumes are hot upwellings of rock thought to originate at the core‐mantle boundary. As they rise through the mantle, their conduits may become tilted due to lateral large‐scale mantle flow. Recent tomographic images have revealed a strongly tilted plume conduit starting at the core‐mantle boundary beneath northern Baja California rising toward the Yellowstone hot spot from the southwest. Here we perform numerical computations of plumes deflected in large‐scale mantle flow with the aim of finding if realistic model parameter ranges exist that yield a good fit with the tomographically observed conduit. We restrict ourselves to models that yield reasonable results for plume conduit tilt and hot spot motion globally. These models require high viscosity ≈1023 Pa s at some lower mantle depths. For a plume head reaching the surface 17 Ma, corresponding to the start of the Columbia River Basalts, our models require rise times ≈80 Myr or longer to match the tilt of the conduit observed by tomography. We used several tomography models to determine mantle density with almost all models predicting southwestward flow in the lowermost mantle beneath the western United States. Exact details of the shape of the predicted conduit's southwesterly tilt vary, depending on the density and viscosity structures we used. In many cases we find comparatively strong tilts in two depth ranges, in the upper and lower portions of the mantle, which is also a characteristic of the tomographically observed conduit. We expect that future models may help to constrain large‐scale flow by matching these corresponding depth ranges.
Sub‐ion‐scale Dynamics of the Ion Diffusion Region in the Magnetotail: MMS Observations
Authors: Zhou M. , Man H. Y. , Zhong Z. H. , Deng X. H. , Pang Y. , Huang S. Y. , Khotyaintsev Y. , Russell C. T. , Giles B. 
Published: October 2019

AbstractThis paper reports magnetospheric multiscale (MMS) observations of the sub‐ion‐scale dynamics within the ion diffusion region (IDR) in the Earth's magnetotail. MMS crossed the IDR from the southern to the northern hemisphere, at about two ion inertial length earthward of the X line with a small guide field. Electrons were anisotropic in the inflow region of the IDR and turned into isotropic within the IDR. The isotropization of the electrons was probably due to the pitch angle scattering in highly curved magnetic field lines. We suggest that the thickness of the electron isotropic region strongly depends on the horizontal distance to the X line. The out‐of‐plane current bifurcated in the IDR. It peaked at the boundaries between the inflow and outflow electrons around the separatrices. Magnetic energy conversion and dissipation predominantly occurred at the peak of the out‐of‐plane current instead of at the neutral sheet center where BL = 0. Both the energy dissipation and normal electric field EN exhibited evident asymmetry with respect to the neutral sheet. The energy dissipation was larger around the northern separatrix than around the southern separatrix. The electric field EN showed a tripolar variation across the neutral sheet, that is, a unipolar EN around the southern separatrix and a bipolar EN around the northern separatrix. The reasons and implications of these asymmetries are discussed.
On the Acceleration Mechanism of Ultrarelativistic Electrons in the Center of the Outer Radiation Belt: A Statistical Study
Authors: Zhao H. , Baker D.N. , Li X. , Malaspina D.M. , Jaynes A.N. , Kanekal S.G. 
Published: October 2019

AbstractUsing energetic particle and wave measurements from the Van Allen Probes, Polar Orbiting Environmental Satellites (POES), and Geostationary Operational Environmental Satellite (GOES), the acceleration mechanism of ultrarelativistic electrons (>3 MeV) in the center of the outer radiation belt is investigated statistically. A superposed epoch analysis is conducted using 19 storms, which caused flux enhancements of 1.8–7.7 MeV electrons. The evolution of electron phase space density radial profile suggests an energy‐dependent acceleration of ultrarelativistic electrons in the outer belt. Especially, for electrons with very high energies (~7 MeV), prevalent positive phase space density radial gradients support inward radial diffusion being responsible for electron acceleration in the center of the outer belt (L*~3–5) during most enhancement events in the Van Allen Probes era. We propose a two‐step acceleration process to explain the acceleration of ~7 MeV electrons in the outer belt: intense and sustained chorus waves locally energize core electron populations to ultrarelativistic energies at high L region beyond the Van Allen Probes' apogee, followed by inward radial diffusion which further energizes these populations to even higher energies. Statistical results of chorus wave activity inferred from POES precipitating electron measurements as well as core electron populations observed by the Van Allen Probes and GOES support this hypothesis.
Subtidal Water Level and Current Variability in a Bar‐Built Estuary During Cold Front Season: Barataria Bay, Gulf of Mexico
Authors: Payandeh A.R. , Justic D. , Mariotti G. , Huang H. , Sorourian S. 
Published: October 2019

AbstractSubtidal water level and current variability in Barataria Bay—a microtidal bar‐built estuary within the Mississippi Delta—and its relation to local and remote wind forcings were analyzed using three different methods: (1) statistical analysis of in situ observations, (2) an analytical model with idealized wind field, and (3) a barotropic numerical model. Remote wind effects (i.e., the coastal water levels imposed by Ekman transport) are dominant at forcing currents at the bay mouth and thus control estuary‐shelf exchanges. In contrast, subtidal water level variability, which ranges from 0.35 m at the bay mouth to 0.55 m at the bay head, is mainly associated with local wind effects, especially at the head of the bay. This occurs because the local wind‐induced water level tilting within the bay is larger than the coastal sea level pumping, i.e., the spatially uniform variations in water levels forced by remote winds. This result contrasts with (1) most coastal plain, fjord, and tectonic estuaries and (2) with other bar‐built estuaries in the region, in which remote wind effects dominate water level variability within the estuary. These differences are due to geomorphological features unique to Barataria Bay, such as its limited estuarine‐shelf connectivity and its orientation relative to local shoreline.
Methane Production Pathway Regulated Proximally by Substrate Availability and Distally by Temperature in a High‐Latitude Mire Complex
Authors: Chang Kuang‐Yu , Riley William J. , Brodie Eoin L. , McCalley Carmody K. , Crill Patrick M. , Grant Robert F. 
Published: October 2019

AbstractProjected 21st century changes in high‐latitude climate are expected to have significant impacts on permafrost thaw, which could cause substantial increases in emissions to the atmosphere of carbon dioxide (CO2) and methane (CH4, which has a global warming potential 28 times larger than CO2 over a 100‐year horizon). However, predicted CH4 emission rates are very uncertain due to difficulties in modeling complex interactions among hydrological, thermal, biogeochemical, and plant processes. Methanogenic production pathways (i.e., acetoclastic [AM] and hydrogenotrophic [HM]) and the magnitude of CH4 emissions may both change as permafrost thaws, but a mechanistic analysis of controls on such shifts in CH4 dynamics is lacking. In this study, we reproduced observed shifts in CH4 emissions and production pathways with a comprehensive biogeochemical model (ecosys) at the Stordalen Mire in subarctic Sweden. Our results demonstrate that soil temperature changes differently affect AM and HM substrate availability, which regulates magnitudes of AM, HM, and thereby net CH4 emissions. We predict very large landscape‐scale, vertical, and temporal variations in the modeled HM fraction, highlighting that measurement strategies for metrics that compare CH4 production pathways could benefit from model informed scale of temporal and spatial variance. Finally, our findings suggest that the warming and wetting trends projected in northern peatlands could enhance peatland AM fraction and CH4 emissions even without further permafrost degradation.
Detecting Changes in River Flow Caused by Wildfires, Storms, Urbanization, Regulation, and Climate Across Sweden
Authors: Arheimer Berit , Lindström Göran 
Published: October 2019

AbstractChanges in river flow may appear from shifts in land cover, constructions in the river channel, and climatic change, but currently there is a lack of understanding of the relative importance of these drivers. Therefore, we collected gauged river flow time series from 1961 to 2018 from across Sweden for 34 disturbed catchments to quantify how the various types of disturbances have affected river flow. We used trend analysis and the differences in observations versus hydrological modeling to explore the effects on river flow from (1) land cover changes from wildfires, storms, and urbanization; (2) dam constructions with regulations for hydropower production; and (3) climate‐change impact in otherwise undisturbed catchments. A mini model ensemble, consisting of three versions of the S‐HYPE model, was used, and the three models gave similar results. We searched for changes in annual and daily stream flow, seasonal flow regime, and flow duration curves. The results show that regulation of river flow has the largest impact, reducing spring floods with up to 100% and increasing winter flow by several orders of magnitude, with substantial effects transmitted far downstream. Climate changed the total river flow up to 20%. Tree removal by wildfires and storms has minor impacts at medium and large scales. Urbanization, on the contrary, showed a 20% increase in high flows also at medium scales. This study emphasizes the benefits of combining observed time series with numerical modeling to exclude the effect of varying weather conditions, when quantifying the effects of various drivers on long‐term streamflow shifts.
Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations
Authors: Short Gianotti Daniel J. , Salvucci Guido D. , Akbar Ruzbeh , McColl Kaighin A. , Cuenca Richard , Entekhabi Dara 
Published: October 2019

AbstractSurface soil moisture measurements are typically correlated to some degree with changes in subsurface soil moisture. We calculate a hydrologic length scale, λ, which represents (1) the mean‐state estimator of total column water changes from surface observations, (2) an e‐folding length scale for subsurface soil moisture profile covariance fall‐off, and (3) the best second‐moment mass‐conserving surface layer thickness for a simple bucket model, defined by the data streams of satellite soil moisture and precipitation retrievals. Calculations are simple, based on three variables: the autocorrelation and variance of surface soil moisture and the variance of the net flux into the column (precipitation minus estimated losses), which can be estimated directly from the soil moisture and precipitation time series. We develop a method to calculate the lag‐one autocorrelation for irregularly observed time series and show global surface soil moisture autocorrelation. λ is driven in part by local hydroclimate conditions and is generally larger than the 50‐mm nominal radiometric length scale for the soil moisture retrievals, suggesting broad subsurface correlation due to moisture drainage. In all but the most arid regions, radiometric soil moisture retrievals provide more information about ecosystem‐relevant water fluxes than satellite radiometers can explicitly “see”; lower‐frequency radiometers are expected to provide still more statistical information about subsurface water dynamics.
River Water‐Quality Concentration and Flux Estimation Can be Improved by Accounting for Serial Correlation Through an Autoregressive Model
Authors: Zhang Qian , Hirsch Robert M. 
Published: October 2019

AbstractAccurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which has been shown to provide among the most accurate estimates compared to other common methods. The main objective of this work was to improve WRTDS estimation by accounting for the autocorrelation structure of model residuals using the first‐order autoregressive model (AR1). This modified approach, called WRTDS‐Kalman Filter (WRTDS‐K), was compared with WRTDS for six constituents including nitrate‐plus‐nitrite (NOx), total phosphorus, total Kjeldahl nitrogen, soluble reactive phosphorus, suspended sediment, and chloride. Near‐daily concentration records at nine sites were used to generate subsets through Monte Carlo sampling for five different sampling scenarios. Results show that WRTDS‐K provided generally better daily estimates of concentration and flux than WRTDS under these sampling scenarios for all constituents, especially NOx. The degree of improvement is strongly affected by the underlying sampling scenario, with WRTDS‐K gaining more advantage when more samples are available, and hence more residuals can be exploited. The performance of WRTDS‐K depends on the AR1 coefficient (ρ) and that relationship varies with constituents and sampling scenarios. These results provided recommendations on the optimal ρ for each constituent and sampling scenario. Overall, WRTDS‐K has the potential for broad applications to monitoring records elsewhere, as demonstrated by a pilot application to Chesapeake Bay tributaries.
A Framework for Global Multicategory and Multiscalar Drought Characterization Accounting for Snow Processes
Authors: Zhang Baoqing , Xia Youlong , Huning Laurie S. , Wei Jiahua , Wang Guangqian , AghaKouchak Amir 
Published: October 2019

AbstractDrought indices do not always provide the most relevant information for water resources management as most of them neglect the role of snow in the land surface water balance. In this study, a physically based drought index, the Standardized Moisture Anomaly Index (SZI), was modified and improved by incorporating the effects of snow dynamics for drought characterization at multiple time scales. The new version of the SZI, called SZIsnow, includes snow in both the water supply and demand in drought characterization by using the water‐energy budgets from the Global Land Data Assimilation Systems product. We compared and evaluated the performance of SZIsnow and SZI in drought identification globally across various time scales using observed multicategory drought evidences from several sources. Results show that the SZIsnow agrees better with the observed changes in hydrological and agricultural droughts than the SZI, particularly over basins with high snow accumulation. Furthermore, the SZIsnow is more consistent with the residual water‐energy ratio than the SZI over snow‐influenced regions. Overall, the SZIsnow can be either a complement or an improvement over the SZI for identifying, monitoring, and characterizing hydrological and agricultural droughts at various scales (e.g., 1–48 months) over high‐latitude and high‐elevation regions that receive snow.
Effects of Pore‐Scale Heterogeneity on Macroscopic NAPL Dissolution Efficiency: A Two‐Scale Numerical Simulation Study
Authors: Aminnaji Morteza , Rabbani Arash , J. Niasar Vahid , Babaei Masoud 
Published: October 2019

AbstractInterphase mass transfer or dissolution coefficient of nonaqueous phase liquids (NAPL) is an important parameter in predicting the transport of contaminant species in porous media. While the literature offers valuable insights into the dependence of this coefficient on different parameters at the continuum scale (e.g., contaminant saturation and Darcy velocity), effects of pore‐scale heterogeneity on macroscopic dissolution coefficient have received little attention. In this work a three‐dimensional pore‐scale model is developed to simulate interphase mass transfer over different synthetic pore network structures with various pore radii correlation lengths. The pore network modeling simulates dissolution of immobile NAPL into water (single phase) through diffusive throats for the water‐NAPL interface. The impacts of pore network spatially correlated heterogeneities, NAPL saturation/distribution, and aqueous phase velocity on NAPL mass transfer coefficient and water‐NAPL interfacial surface area are studied. These macroscopic properties are then employed in two‐dimensional continuum‐scale domains formed by concatenating 20 by 20 pore networks in x and y directions. The results highlight the impact of pore‐scale heterogeneity on the distribution of NAPL and subsequently on the dissolution rate (i.e., dissolution coefficient). An uncorrelated distribution of pore radii consistently leads to higher NAPL dissolution coefficient than spatially correlated heterogeneity. The results of continuum modeling show that NAPL dissolution rates are only different between domains formed by correlated and uncorrelated pore networks at very high flow rates and Darcy velocities. However, for typical values of Darcy velocity in groundwater systems, variation in mass transfer coefficient due to pore‐scale heterogeneity is minimal for efficient mass removal.