bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exposure and response prevention therapy augmented with naltrexone in kleptomania: a controlled case study using galvanic skin response for monitoring
Authors: Olbrich Sebastian , Jahn Ina , Stengler Katarina 
Published: March 2019

AbstractBackground:Kleptomania is a disease that shares features with obsessive compulsive spectrum disorders (OCD) and with substance abuse disorders (SAD). This is underlined by therapeutic approaches in kleptomania ranging from cognitive behavioural therapy and selective serotonin reuptake inhibitors that are effective in OCD, and opioid antagonists that are currently being used in SAD. However, almost no literature exists about exposure and response prevention (ERP) therapy in kleptomania. Furthermore, there is a clear lack of objective markers that would allow a therapeutic monitoring.Aim:To show the effectiveness of ERP therapy in kleptomania in a single case report.Method:An ERP therapy under real-world conditions and later augmentation with the opioid antagonist naltrexone is described. Continuous measurements of galvanic skin response (GSR) before, during and after therapy sessions are reported in association with changes of the Kleptomania Symptom Assessment Scale (KSAS) self-questionnaire.Results:While KSAS scores showed a clear treatment response to ERP sessions, the GSR was significantly lower during ERP treatment in comparison with baseline measures. However, during augmentation with naltrexone, GSR measures increased again and clinical severity did not further improve.Conclusions:This case shows the possible usefulness of ERP-like approaches and therapy monitoring using electrophysiological markers of arousal for individualized treatment in kleptomania.
Resource Nationalism in the Law and Policies of Indonesia: A Contest of State, Foreign Investors, and Indigenous Peoples
Authors: KADIR M.Y. Aiyub , MURRAY Alexander 
Published: March 2019

AbstractThis paper examines resource nationalism in the legal system of Indonesia under the interpretation of Articles 33(2), 33(3), and 18B(2) of the 1945 Constitution. It will describe the evolution of the meaning of resource nationalism since independence to the present day, in the context of foreign investment, to investigate the extent to which resource nationalism has benefited indigenous peoples. This paper argues that resource nationalism in the legal system of Indonesia has been driven by state-centric goals and has strayed far away from considerations of the benefits to the indigenous people (Masyarakat Hukum Adat/MHA), so as to dominantly benefit the elites of government and foreign investors. This paper will introduce a new conceptual framework in order to develop an effective argument about resource nationalism using International Human Rights Law.
Forced-Choice Versus Likert Responses on an Occupational Big Five Questionnaire
Authors: Watrin Luc , Geiger Mattis , Spengler Maik , Wilhelm Oliver 
Published: March 2019

Abstract. Conventional self-report measures are prone to response biases, which distort measurement in any applied assessment. The forced-choice (FC) format was proposed as a potential remedy for these biases. The purpose of these studies was to develop and evaluate a FC questionnaire for the occupational context based on the five factor model of personality. A single-stimulus Likert questionnaire was contextualized for occupational settings and psychometrically optimized in Study 1 ( N = 401). Considering optimal design strategies, we subsequently used this questionnaire to construct and validate a FC questionnaire in Study 2 ( N = 517). Methodological add-ons to established approaches were applied to achieve decent confirmatory model fit. The new questionnaire shows good psychometric qualities and strong validity. We make suggestions for further applications and studies.
Modeling Subgrid Variability of Snow Depth Using the Fokker‐Planck Equation Approach
Authors: He Siwei , Ohara Noriaki 
Published: March 2019

AbstractA physically based subgrid variability model for snow process using the Fokker‐Planck equation (FPE) approach was proposed. This FPE can express the evolution of the probability density function (PDF) of snow depth within a finite area, possibly a grid cell of distributed models or a small basin, whose shape can be irregular. The main advantage of this approach is that it does not rely on a given PDF but dynamically computes the PDF through an advection‐diffusion‐type equation, the FPE, which was derived from point‐scale process‐based governing equations. Snow depth was treated as a random variable, while the snow redistribution and snowmelt rate were treated as the sources of stochasticity. The main challenge in solving this FPE is evaluating the time‐space covariances appearing in the diffusion coefficient. In this study, approximations to evaluate the covariance terms, accounting for snowmelt and snow redistribution, were proposed. The simulated results of the FPE model were validated by the measured time series of snow depth at one site and the spatial distributions of snow depth measured by ground penetrating radar and airborne light detection and ranging (Lidar). It was shown that the point‐observed snow depth fell within the simulated range during most of the 2‐year study period. The simulated PDFs of snow depth within the study area were similar to the observed PDFs of snow depth by ground penetrating radar and Lidar. In summary, these results demonstrate the efficacy of the proposed FPE model representing the subgrid variability of snow depth.
Role of Large‐Scale Tectonic Forces in Intraplate Earthquakes of Central and Eastern North America
Authors: Ghosh Attreyee , Holt William E. , Bahadori Alireza 
Published: March 2019

AbstractCentral and eastern United States (CEUS) have experienced large intraplate earthquakes. Yet, at present there is no comprehensive model to explain stresses, strain, and seismicity in this intraplate setting. Models to explain the intraplate stresses in CEUS include glacio‐isostatic adjustment, ridge push effects, local stresses along preexisting fracture zones, and large‐scale convection. In this paper, we present a self‐consistent model of the dynamics of CEUS that explains the stress field responsible for these intraplate earthquakes. The earthquakes represent slow, ongoing deformation associated with forces arising from a combination of lithosphere topography and structure, together with the effects of density‐driven mantle flow. Using GPS data, we calculate strain rates that are likely to arise from tectonic effects and conclude that intraplate strain rates associated with tectonic effects are unlikely to exceed 1 × 10−9 year−1. We test several models of lateral viscosity variations by comparing model stress orientation output with earthquake moment tensors,
directions from stress inversion, and P axes of earthquakes. A model that satisfies stress and earthquake constraints and also strain rate magnitude constraints requires high viscosity (1025 Pa·s) craton and old oceanic lithosphere of the western Atlantic block and weaker (5 × 1024 Pa·s) accreted Appalachian terrane. Other strength contrasts within the lithosphere are likely present. Incorporation of these into future models using constraints from seismology, along with refined geodetic measurements and improved estimates of crust and upper mantle densities, is needed to further refine long‐term dynamic models and better evaluate the hazards associated with this very slow, ongoing permanent deformation within the eastern and central United States.
Spatiotemporal Prediction of Tidal Currents Using Gaussian Processes
Authors: Sarkar Dripta , Osborne Michael A. , Adcock Thomas A. A. 
Published: March 2019

AbstractPredicting fast tidal currents can be a challenging task. Unlike tidal water levels, currents can vary sharply over short distances. The classical approach of harmonic analysis can analyze data at point locations and there is a need for a method that can handle spatiotemporal data, as well as be robust to the uncertainty and noise inevitable in real‐world measurements. In this work, we present a Bayesian machine learning (ML) approach to tackle the problem. The method is based on Gaussian processes, a nonparametric ML technique that uses a kernel function to capture structures in the data. A case study is performed using data from a validated numerical model simulating the tidal dynamics in the Pentland Firth region, UK. Several sampling strategies are explored and the case where measurement location is changed after every sampling is found to produce the lowest average error in the predictions. We show that the presented methodology using data from just a single moving data source can provide a better spatiotemporal description than traditional techniques using continuous data from a large number of locations. The work can be useful to developers of tidal energy farms, navigation, and other purposes.
Modeling of the Effects of Wintertime Aerosols on Boundary Layer Properties Over the Indo Gangetic Plain
Authors: Bharali Chandrakala , Nair Vijayakumar S. , Chutia Lakhima , Babu S. Suresh 
Published: March 2019

AbstractWintertime fog and severe aerosol loading in the boundary layer over South Asia, especially Indo Gangetic Plain (IGP), causes disruptions in the day‐to‐day life of millions of people living in the region, and these heavy pollution episodes result in relentless effects on human health. Weather Research Forecasting model coupled with aerosol chemistry is used to investigate the radiative effects and feedbacks of aerosols on the evolution and structure of the planetary boundary layer over the region. In general, aerosols lead to cooling at the surface, which decreases the nonradiative fluxes (latent and sensible heat fluxes), weakens the turbulent diffusion, and inhibits/delays the growth of convective boundary layer. The impact was maximum over IGP where aerosol‐induced solar dimming (60–80 W/m2) led to a cooling of −0.6 to −2 ° C at the surface, which decreases the noontime boundary layer height by ∼200 m. This effect overwhelms the diabatic heating due to absorbing aerosols in the atmosphere. The significant decrease in sensible (∼11–23 W/m2) and latent heat flux (5–14 W/m2) was observed over IGP and western India. Aerosol boundary layer interaction increases the aerosol loading near the surface (PM2.5) by 3 to 30 μg/m3, which further deteriorate the air quality and visibility over the region. The aerosol forcing increases the relative humidity in the lower boundary layer and amplifies the aerosol forcing. The fog events over the Indian regions identified using INSAT‐3D observations coincide with the regions where aerosol‐boundary layer interactions are very significant. The aerosol‐boundary layer interaction has significance in forecasting fog events and planning mitigation strategies for improving the air quality over the region.
WaxPSM: A Forward Model of Leaf Wax Hydrogen Isotope Ratios to Bridge Proxy and Model Estimates of Past Climate
Authors: Konecky Bronwen , Dee Sylvia G. , Noone David C. 
Published: March 2019

AbstractThe D/H ratio of epicuticular plant waxes (δDwax) preserved in sedimentary archives is a powerful tool for paleoclimate reconstruction, but comparisons to other proxy records or to climate model simulations requires a proxy system model (PSM) that accounts for transformations between δDprecip and δDwax. Here we present a new, publicly available PSM for plant waxes, WaxPSM. WaxPSM predicts δDwax from observational data or any isotope‐enabled modern, paleo, or future climate model experiment. δD values of the C29 n‐alkane are calculated based on precipitation or soil water δD and observed apparent fractionation values, adjusted for plant‐type differences. Using WaxPSM, we assess three key uncertainties in δDwax records: the degree to which variations in δD may reflect changes in vegetation rather than climate, structural uncertainties that arise from limited water isotopic observations, and the impacts of land cover change on climate reconstructions during the Last Glacial Maximum and the Preindustrial period. Parametric and structural uncertainties can cause δDwax variations up to 50‰, but in most cases, the differences are ∼10–30‰. The drier subtropics are additionally impacted by the incorrect structural assumption that plants' source water, δDsoil, is isotopically similar to the climate variable of interest, δDprecip. We recommend a coordinated, systematic effort to elevate observational constraints on δDprecip, δDsoil, and the δD of multiple compound classes, which would dramatically reduce parametric and structural uncertainties and allow further complexity to be built into the model.
Evaluation of FAMIL2 in Simulating the Climatology and Seasonal‐to‐Interannual Variability of Tropical Cyclone Characteristics
Authors: Li Jinxiao , Bao Qing , Liu Yimin , Wu Guoxiong , Wang Lei , He Bian , Wang Xiaocong , Li Jiandong 
Published: March 2019

AbstractWe evaluate the ability of the latest generation atmospheric general circulation model from State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (namely, FAMIL2) in simulating some key characteristics (genesis location, track, number, and intensity) of tropical cyclones (TCs) in terms of their climatology and seasonal to interannual variability. A standard 1° × 1° atmospheric model intercomparison project experiment is carried out for the period 1979–2002, and the last 20 years of outputs are used for analysis. The same period from International Best Track Archive for Climate Stewardship (IBTrACS) is used as the observation for comparison purposes. The evaluations focus on TC activity at the global scale as well as in the three key regions of the northern Indian Ocean (NIO), western Pacific (WP) and northern Atlantic (NA). With respect to the simulated TC climatology, FAMIL2 shows notable ability in correctly reproducing the main characteristics of the genesis locations, tracks, and numbers of TC, particularly over the key regions of TC activity in the Northern Hemisphere; whereas, it underestimates the intensities of TC, as is the case with many state‐of‐the‐art climate models operating at a medium resolution. On seasonal‐to‐interannual time scales, meanwhile, FAMIL2 successfully reproduces the seasonal cycles of TC numbers over the NIO and WP regions, the former being characterized by double TC peaks (in May and October) and the latter by a maximum peak season in August. However, the model only captures these features approximately. For the simulated interannual variability of TC activity, the correlation coefficients of 20‐year TC numbers between FAMIL2 and IBTrACS are 0.22, 0.51 (95% confidence interval), and 0.49 (95% confidence interval) for the NIO, WP, and NA, respectively. We also examine the possible reasons behind the performance of FAMIL2 by investigating its subseasonal signs related to the Madden‐Julian Oscillation (MJO) and convectively coupled equatorial waves. The TC genesis potential index is employed to investigate the possible impacts of the large‐scale dynamic fields on the simulation of TC activity. Finally, the biases of simulated TC activity, as well as possible solutions for these biases, are discussed with respect to the horizontal resolution of the model. A TC forecasting case study is introduced as a first step in applying FAMIL2 to a TC forecasting system.
Aerosol Mixing State: Measurements, Modeling, and Impacts
Authors: Riemer N. , Ault A. P. , West M. , Craig R. L. , Curtis J. H. 
Published: March 2019

AbstractAtmospheric aerosols are complex mixtures of different chemical species, and individual particles exist in many different shapes and morphologies. Together, these characteristics contribute to the aerosol mixing state. This review provides an overview of measurement techniques to probe aerosol mixing state, discusses how aerosol mixing state is represented in atmospheric models at different scales, and synthesizes our knowledge of aerosol mixing state's impact on climate‐relevant properties, such as cloud condensation and ice nucleating particle concentrations, and aerosol optical properties. We present these findings within a framework that defines aerosol mixing state along with appropriate mixing state metrics to quantify it. Future research directions are identified, with a focus on the need for integrating mixing state measurements and modeling.
Shift Happens! Adjusting Stage‐Discharge Rating Curves to Morphological Changes at Known Times
Authors: Mansanarez V. , Renard B. , Coz J. Le , Lang M. , Darienzo M. 
Published: March 2019

AbstractEstablishing streamflow time series in unstable rivers is challenged by changes in the stage‐discharge relation after floods. Then, the field hydrologist must develop a new stage‐discharge rating curve using new calibration data but also using some information from previous calibration data and previous rating curves. The process includes a large amount of informal expert knowledge and hydraulic assumptions seldom made explicit. This paper develops a stage‐period‐discharge (SPD) model based on the physical interpretation of changes in the stage‐discharge relation across a series of stability periods defined by known dates and times. Using simple hydraulic equations, the user provides prior knowledge on the controls, their static and varying parameters, and their possible changes. As a single model is used for all the periods, the estimation of all rating curves can be performed in one go: All gaugings hence provide information to estimate the static parameters and the varying parameters for the relevant periods. Bayesian inference is used, providing a natural way to include prior knowledge and to quantify uncertainty. The generality and some key properties of the method are demonstrated through application to two hydrometric stations, differing in hydraulic configuration and in number and type of changes. Specific experiments demonstrate the ability of the SPD model to transfer information across periods. Consequently, rating curves are more precisely estimated than by separately estimating them for each period. The SPD model provides a hydraulically based, transparent, and user‐friendly approach to replace manual shift corrections traditionally applied in operational practice, with a quantification of uncertainties.
Quantification and Prediction of Nighttime Evapotranspiration for Two Distinct Grassland Ecosystems
Authors: Groh J. , Pütz T. , Gerke H. H. , Vanderborght J. , Vereecken H. 
Published: March 2019

AbstractEvapotranspiration (ET) is, after precipitation, the second largest flux at the land surface in the water cycle and occurs mainly during daytime. Less attention has been given to water fluxes from the land surface into the atmosphere during nighttime (i.e., between sunset and sunrise). The nighttime ET (ETN) may be estimated based on models that use meteorological data; however, due to missing experimental long‐term data, the verification of ETN estimates is limited. In this paper, the amount of ETN for two grassland ecosystems was determined from highly temporally resolved and precise weighing lysimeter data. We found that annual ETN ranged between 3.5% and 9.5% of daytime annual ET (ETD) and occurred mainly during wet soil and canopy surface conditions, which suggests that ETN is largely related to evaporation. ETN was positively correlated with wind speed. Dew formation, ranging from 4.8% to 6.4% of annual precipitation, was in absolute terms larger than ETN. The prediction of ETN with the Penman‐Monteith model improved if the aerodynamic and surface resistance parameters were based on vegetation height observations and the nighttime stomatal resistance parameter was assumed to be zero. The occurrence of hot days during the observation period showed to increase average ETN rates. Our results suggest that ETN can be observed with precision weighing lysimeters, was a not negligible component in the water balance of the grassland ecosystems, and thus needs more attention when simulating land surface hydrological processes.
Circularly and elliptically polarized light under water and the Umov effect
Authors: Ding Yitian , Pau Stanley 
Published: March 2019

AbstractTotal internal reflection occurs when light is incident on the interface of high- and low-refractive-index materials at an angle greater than the critical angle. Sunlight with high degree of linear polarization, such as atmospheric scattered skylight, can be converted with a high efficiency up to 53% to circular and elliptical polarizations by total internal reflection under water in the region outside Snell’s window. The degree of circular polarization is observed to be inversely dependent on the albedo of underwater objects and is shown to be a direct consequence of the Umov effect. Our results are important for underwater polarimetry, surveillance applications and studies of marine animals’ polarized vision near the water-air interface.
Comparison of human isogeneic Wharton’s jelly MSCs and iPSC-derived MSCs reveals differentiation-dependent metabolic responses to IFNG stimulation
Authors: Devito Liani , Klontzas Michail E. , Cvoro Aleksandra , Galleu Antonio , Simon Marisa , Hobbs Carl , Dazzi Francesco , Mantalaris Athanasios , Khalaf Yacoub , Ilic Dusko 
Published: March 2019

AbstractVariability among donors, non-standardized methods for isolation, and characterization contribute to mesenchymal stem/stromal cell (MSC) heterogeneity. Induced pluripotent stem cell (iPSCs)-derived MSCs would circumvent many of current issues and enable large-scale production of standardized cellular therapy. To explore differences between native MSCs (nMSCs) and iPSC-derived MSCs (iMSCs), we developed isogeneic lines from Wharton’s jelly (WJ) from the umbilical cords of two donors (#12 and #13) under xeno-free conditions. Next, we reprogrammed them into iPSCs (iPSC12 and iPSC13) and subsequently differentiated them back into iMSCs (iMSC12 and iMSC13) using two different protocols, which we named ARG and TEX. We assessed their differentiation capability, transcriptome, immunomodulatory potential, and interferon-γ (IFNG)-induced changes in metabolome. Our data demonstrated that although both differentiation protocols yield iMSCs similar to their parental nMSCs, there are substantial differences. The ARG protocol resulted in iMSCs with a strong immunomodulatory potential and lower plasticity and proliferation rate, whereas the TEX protocol raised iMSCs with a higher proliferation rate, better differentiation potential, though weak immunomodulatory response. Our data suggest that, following a careful selection and screening of donors, nMSCs from umbilical’s cord WJ can be easily reprogrammed into iPSCs, providing an unlimited source of material for differentiation into iMSCs. However, the differentiation protocol should be chosen depending on their clinical use.