bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring adherence in social recovery therapy with people with first episode psychosis
Authors: Lowen Christine , Hodgekins Jo , Pugh Katherine , Berry Clio , Fitzsimmons Mike , French Paul , Sacadura Catarina , Birchwood Max , Jackson Chris , Baggott Eleanor , Bernard Mark , Fowler David 
Published: August 2019

AbstractBackground:The SUPEREDEN3 study, a phase II randomized controlled trial, suggests that social recovery therapy (SRT) is useful in improving functional outcomes in people with first episode psychosis. SRT incorporates cognitive behavioural therapy (CBT) techniques with case management and employment support, and therefore has a different emphasis to traditional CBT for psychosis, requiring a new adherence tool.Aims:This paper describes the SRT adherence checklist and content of the therapy delivered in the SUPEREDEN3 trial, outlining the frequency of SRT techniques and proportion of participants who received a full therapy dose. It was hypothesized that behavioural techniques would be used frequently, consistent with the behavioural emphasis of SRT.Method:Research therapists completed an adherence checklist after each therapy session, endorsing elements of SRT present. Data from 1236 therapy sessions were reviewed to determine whether participants received full, partial or no therapy dose.Results:Of the 75 participants randomized to receive SRT, 57.3% received a full dose, 24% a partial dose, and 18.7% received no dose. Behavioural techniques were endorsed in 50.5% of sessions, with cognitive techniques endorsed in 34.9% of sessions.Conclusions:This report describes an adherence checklist which should be used when delivering SRT in both research and clinical practice. As hypothesized, behavioural techniques were a prominent feature of the SRT delivered in SUPEREDEN3, consistent with the behavioural emphasis of the approach. The use of this adherence tool would be considered essential for anyone delivering SRT looking to ensure adherence to the model.
Real-world evaluation of digital CBT for insomnia in the primary care setting – many should not log on to doze off
Authors: Xu Zheyu , Anderson Kirstie N. 
Published: August 2019

AbstractCognitive behaviour therapy for insomnia (CBTi) has emerged as the first-line treatment for insomnia where available. Clinical trials of digital CBTi (dCBTi) have demonstrated similar efficacy and drop-out rates to face-to-face CBTi. Most patients entering clinical trials are carefully screened to exclude other sleep disorders. This is a case series review of all those referred to a dCBTi within an 18-month time period. Those initially screened, accepted after exclusion of other sleep disorders, commencing and completing therapy were assessed to understand patient population referred from general practice in the UK. 390 patient referrals were analysed. 135 were suitable for dCBTi with a high rate of other sleep disorders detected in screening. 78 completed therapy (20.0%) and 44.9% had significant improvement in sleep outcomes, achieving ≥20% improvement in final sleep efficiency. dCBTi can be used within the UK NHS with good benefit for those who are selected as having insomnia and who then complete therapy. Many referrals are made with those likely to have distinct primary sleep disorders highlighting the need for education regarding sleep and sleep disorders prior to dCBTi therapy.Key learning aims(1)The use of unsupported digital cognitive behavioural therapy for insomnia (dCBTi) requires proper patient selection.(2)There are many insomnia mimics and also previously unrecognized sleep and psychiatric disturbances that are under-diagnosed in the primary care setting that are contraindications for unsupported dCBTi.(3)The use of a stepped care approach similar to the UK’s Improving Access to Psychological Therapies (IAPT) model using dCBTi could be feasible in the public health setting.
Method to Derive Ion Properties From Juno JADE Including Abundance Estimates for O+ and S2+
Authors: Kim Thomas K. , Ebert R. W. , Valek P. W. , Allegrini F. , McComas D. J. , Bagenal F. , Chae K. , Livadiotis G. , Loeffler C. E. , Pollock C. , Ranquist D. A. , Thomsen M. F. , Wilson R. J. , Clark G. , Kollmann P. , Mauk B. H. , Bolton S. , Levin S. , Nicolaou G. 
Published: August 2019

AbstractThe Jovian Auroral Distributions Experiment Ion sensor (JADE‐I) on Juno is a plasma instrument that measures the energy‐per‐charge (E/Q) distribution of 0.01 to 46.2 keV/q ions over a mass‐per‐charge (M/Q) range of 1– 64 amu/q. However, distinguishing O+ and S2+ from JADE‐I's measurements is a challenging task due to similarities in their M/Q (∼16 amu/q). Because of this, O+ and S2+ have not been fully resolved in the in situ measurements made by plasma instruments at Jupiter (e.g., Voyager PLS and Galileo PLS) and their relative ratios has been studied using physical chemistry models and ultraviolet remote observations. To resolve this ambiguity, a ray tracing simulation combined with carbon foil effects is developed and used to obtain instrument response functions for H+, O+, O2+, O3+, Na+, S+, S2+, and S3+. The simulation results indicate that JADE‐I can resolve the M/Q ambiguity between O+ and S2+ due to a significant difference in their charge state modification process and a presence of a large electric potential difference (∼8 kV) between its carbon foils and MCPs. A forward model based on instrument response functions and convected kappa distributions is then used to obtain ion properties at the equatorial plasma sheet (∼36 RJ) in the predawn sector of magnetosphere. The number density ratio between O+ and S2+ for the selected plasma sheet crossings ranges from 0.2 to 0.7 (0.37 ± 0.12) and the number density ratio between total oxygen ions to total sulfur ions ranges from 0.2 to 0.6 (0.41 ± 0.09).
Multimode 3‐D Kirchhoff Migration of Receiver Functions at Continental Scale
Authors: Millet F. , Bodin T. , Rondenay S. 
Published: August 2019

AbstractReceiver function analysis is widely used to image sharp structures in the Earth, such as the Moho or transition zone discontinuities. Standard procedures either rely on the assumption that underlying discontinuities are horizontal (common conversion point stacking) or are computationally expensive and usually limited to 2‐D geometries (reverse time migration and generalized Radon transform). Here, we develop a teleseismic imaging method that uses fast 3‐D traveltime calculations with minimal assumption about the underlying structure. This allows us to achieve high computational efficiency without limiting ourselves to 1‐D or 2‐D geometries. In our method, we apply acoustic Kirchhoff migration to transmitted and reflected teleseismic waves (i.e., receiver functions). The approach expands on the work of Cheng et al. (2016, https://doi.org/10.1093/gji/ggw062) to account for free surface multiples. We use an Eikonal solver based on the fast marching method to compute traveltimes for all scattered phases. Three‐dimensional scattering patterns are computed to correct the amplitudes and polarities of the three component input signals. We consider three different stacking methods (linear, phase weighted, and second root) to enhance the structures that are most coherent across scattering modes and find that second‐root stack is the most effective. Results from synthetic tests show that our imaging principle can recover scattering structures accurately with minimal artifacts. Application to real data from the Multidisciplinary Experiments for Dynamic Understanding of Subduction under the Aegean Sea experiment in the Hellenic subduction zone yields images that are similar to those obtained by 2‐D generalized Radon transform migration at no additional computational cost, further supporting the robustness of our approach.
Tempo‐Spatial Variations of the Kuroshio Current in the Tokara Strait Based on Long‐Term Ferryboat ADCP Data
Authors: Liu Zhao‐Jun , Nakamura Hirohiko , Zhu Xiao‐Hua , Nishina Ayako , Guo Xinyu , Dong Menghong 
Published: August 2019

AbstractTransverse‐vertical structure and temporal variability of the Kuroshio current across the Tokara Strait during 2003–2012 measured by a ferryboat acoustic Doppler current profiler with a 2‐km horizontal resolution and a two‐day interval are presented. The Kuroshio passing through the Tokara Strait exhibits a multicore velocity structure. Its seasonal volume transport variation is biannual for baroclinic components relative to 700 m, peaking in July and December–January. However, the barotropic transport component exhibits an annual cycle with a maximum in December. Empirical orthogonal function analysis of the cross‐sectional velocity is performed. The first two empirical orthogonal function modes reveal the north‐south shift of the Kuroshio current axis and the change in Kuroshio volume transport, respectively. Temporal variabilities of the leading two modes correspond to those of the Kuroshio Position Index and the sea level difference across the strait, respectively. The third empirical orthogonal function mode, with a relatively smaller horizontal scale, was examined in terms of turbulent mixing. The banded structure captured by this mode is likely induced by flow‐topography interaction because islands in the Kuroshio route could cause horizontal and vertical flow separation. Additional analysis based on high‐resolution reanalysis data suggested that (1) inertial instability, which is expected in the areas with negative Ertel's potential vorticity, arises to enhance vertical mixing around the islands in the Tokara Strait, and (2) when the Kuroshio directly impinges the islands, flow divergence in the lee of the islands drives upwelling and leads to uplift of isotherms.
Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments
Authors: McInerney David , Kavetski Dmitri , Thyer Mark , Lerat Julien , Kuczera George 
Published: August 2019

AbstractProbabilistic modeling of streamflow in ephemeral catchments, where streamflow is frequently zero or negligible, is a major scientific and operational challenge. This paper evaluates the benefits of an explicit treatment of zero flows in the residual error models used for hydrological model calibration and prediction. In this approach, the lower bound of zero for streamflow is implemented using a censoring approach. The explicit approach is compared to a simpler pragmatic approach, which imposes the zero streamflow bound in prediction but not in calibration. Following a theoretical exposition, empirical comparisons are reported using a daily rainfall‐runoff model (GR4J), four residual error schemes (based on log, log‐sinh, and Box‐Cox [BC] transformations withλ= 0.2 and 0.5), 74 Australian catchments with diverse hydroclimatology, and five performance metrics (reliability, precision, bias, proportion of zero flow days, and Continuous Ranked Probability skill score). The key findings are as follows: (1) inmid‐ephemeralcatchments (5–50% zero flows) the explicit approach improves predictive performance, especially reliability, through better characterization of residual errors; (2) BC0.2 and BC0.5 schemes are Pareto optimal in mid‐ephemeral catchments (when the explicit approach is used): BC0.2 achieves better reliability and is recommended for probabilistic prediction, whereas BC0.5 attains lower volumetric bias; (3) inlow‐ephemeralcatchments (<5% zero flows) the pragmatic approach is sufficient; (4) inhigh‐ephemeralcatchments (>50% zero flows) theoretical limitations result in poor performance of these particular explicit and pragmatic approaches, and further development is needed. The findings provide guidance on improving probabilistic streamflow predictions in ephemeral catchments.
Mars Upper Atmospheric Responses to the 10 September 2017 Solar Flare: A Global, Time‐Dependent Simulation
Authors: Fang Xiaohua , Pawlowski David , Ma Yingjuan , Bougher Stephen , Thiemann Edward , Eparvier Francis , Wang Wenbin , Dong Chuanfei , Lee Christina O. , Dong Yaxue , Benna Mehdi , Elrod Meredith , Chamberlin Phillip , Mahaffy Paul , Jakosky Bruce 
Published: August 2019

AbstractWe report the first global, time‐dependent simulation of the Mars upper atmospheric responses to a realistic solar flare event, an X8.2 eruption on 10 September 2017. The Mars Global Ionosphere‐Thermosphere Model runs with realistically specified flare irradiance, giving results in reasonably good agreement with the Mars Atmosphere and Volatile EvolutioN spacecraft measurements. It is found that the ionized and neutral regimes of the upper atmosphere are significantly disturbed by the flare but react differently. The ionospheric electron density enhancement is concentrated below ∼110‐km altitude due to enhanced solar X‐rays, closely following the time evolution of the flare. The neutral atmospheric perturbation increases with altitude and is important above ∼150‐km altitude, in association with atmospheric upwelling driven by solar extreme ultraviolet heating. It takes ∼2.5 hr past the flare peak to reach the maximum disturbance and then additional ∼10 hr to generally settle down to preflare levels.
Benguela Niños and Benguela Niñas in Forced Ocean Simulation From 1958 to 2015
Authors: Imbol Koungue Rodrigue Anicet , Rouault Mathieu , Illig Serena , Brandt Peter , Jouanno Julien 
Published: August 2019

AbstractA systematic study of Benguela Niño and Benguela Niña events during 1958 to 2015 including those that developed before the satellite era (1982) is carried out using an ocean general circulation model in combination with a linear equatorial model. Altogether, 21 strong warm and cold anomalous coastal events are identified among which 6 undocumented extreme coastal events are reported. Results suggest that most of these extreme coastal events including the newly identified ones are linked to remote equatorial forcing via mode 2 equatorial Kelvin waves. The latter propagates after approaching the African coast poleward as coastally trapped waves leading surface temperature anomalies along the Angola‐Benguela current system by one month. One to two months before the peak of Benguela Niños or Niñas usually occurring in March–April, a large‐scale wind stress forcing is observed with both local (variations of alongshore coastal wind stress) and remote forcing developing simultaneously. Results further suggest that surface temperature anomalies off Southern Angola and in the Angola‐Benguela Front are associated with equatorial dynamics and meridional wind stress fluctuations off the southwestern African coast north of 15°S. Similar mechanisms are observed for Northern Namibia in combination with forcing by local meridional wind stress variations.
The Plasma Nature of Lightning Channels and the Resulting Nonlinear Resistance
Authors: da Silva C. L. , Sonnenfeld R. G. , Edens H. E. , Krehbiel P. R. , Quick M. G. , Koshak W. J. 
Published: August 2019

AbstractLightning channels are made of plasma. As a consequence, the driving electrical current changes the channel's resistance in a nonlinear fashion. The resistance has an intricate dependence on the history of Joule heating and various cooling processes, as well as on the various kinetic processes that dictate the population balance of electrons within the channel. Such dependence cannot be captured by an analytic function, as often attempted. In this paper, we introduce a minimal numerical model that can qualitatively capture the temporal dynamics of the key plasma properties of a lightning channel, including its electric field, temperature, plasma density, radius, and the resulting nonlinear resistance. Through a series of novel parameterizations, we introduce six zero‐dimensional equations that can capture both nonequilibrium/low‐temperature and local thermodynamic equilibrium/high‐temperature plasma regimes. In this manuscript, we go to great lengths to validate the model, showing that it can reproduce the finite time scale of streamer‐to‐leader transition, replicate the negative differential resistance behavior of steady‐state plasma arcs, and properly describe the temporal evolution of temperature in a return stroke channel. Finally, the model is applied to the simulation of optical emissions from rocket‐triggered lightning strikes, explaining the measured delay between the rise of current and visible light, as well as reproducing the direct relationship between peak current and peak radiated power and between charge transferred to ground and total radiated energy.
Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product
Authors: Crow W. T. , Chen F. , Reichle R. H. , Xia Y. 
Published: August 2019

AbstractThe physical parameterization of key processes in land surface models (LSMs) remains uncertain, and new techniques are required to evaluate LSMs accuracy over large spatial scales. Given the role of soil moisture in the partitioning of surface water fluxes (between infiltration, runoff, and evapotranspiration), surface soil moisture (SSM) estimates represent an important observational benchmark for such evaluations. Here, we apply SSM estimates from the NASA Soil Moisture Active Passive Level‐4 product (SMAP_L4) to diagnose bias in the correlation between SSM and surface runoff for multiple Noah‐Multiple Physics (Noah‐MP) LSM parameterization cases. Results demonstrate that Noah‐MP surface runoff parameterizations often underestimate the correlation between prestorm SSM and the event‐scale runoff coefficient (RC; defined as the ratio between event‐scale streamflow and precipitation volumes). This bias can be quantified against an observational benchmark calculated using streamflow observations and SMAP_L4 SSM and applied to explain a substantial fraction of the observed basin‐to‐basin (and case‐to‐case) variability in the skill of event‐scale RC estimates from Noah‐MP. Most notably, a low bias in LSM‐predicted SSM/RC correlation squanders RC information contained in prestorm SSM and reduces LSM RC estimation skill. Based on this concept, a novel case selection strategy for ungauged basins is introduced and demonstrated to successfully identify poorly performing Noah‐MP parameterization cases.
Selection for antimicrobial resistance is reduced when embedded in a natural microbial community
Authors: Klümper Uli , Recker Mario , Zhang Lihong , Yin Xiaole , Zhang Tong , Buckling Angus , Gaze William H 
Published: August 2019

Abstract
Antibiotic resistance has emerged as one of the most pressing, global threats to public health. In single-species experiments selection for antibiotic resistance occurs at very low antibiotic concentrations. However, it is unclear how far these findings can be extrapolated to natural environments, where species are embedded within complex communities. We competed isogenic strains of Escherichia coli, differing exclusively in a single chromosomal resistance determinant, in the presence and absence of a pig faecal microbial community across a gradient of antibiotic concentration for two relevant antibiotics: gentamicin and kanamycin. We show that the minimal selective concentration was increased by more than one order of magnitude for both antibiotics when embedded in the community. We identified two general mechanisms were responsible for the increase in minimal selective concentration: an increase in the cost of resistance and a protective effect of the community for the susceptible phenotype. These findings have implications for our understanding of the evolution and selection of antibiotic resistance, and can inform future risk assessment efforts on antibiotic concentrations.
Efficacy of omega-3 PUFAs in depression: A meta-analysis
Authors: Liao Yuhua , Xie Bo , Zhang Huimin , He Qian , Guo Lan , Subramanieapillai Mehala , Fan Beifang , Lu Ciyong , McIntyre Roger S. 
Published: August 2019

AbstractWe conducted this meta-analysis of double-blind randomized placebo-controlled trials to estimate the efficacy of omega-3 polyunsaturated fatty acids (PUFAs), especially docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), in the improvement of depression. We applied a systematic bibliographic search in PubMed and EMBASE for articles published prior to 20 December 2017. This meta-analysis was performed using RevMan 5.3 and R 3.4.3, and means and standard deviations were calculated in fixed- or random-effects models based on the results of the Q-test. A sensitivity analysis was also conducted to evaluate the stability of the results, and publication bias was evaluated by a funnel plot and Egger’s linear regression analysis. Our search resulted in 180 articles; we analyzed 26 studies, which included 2160 participants. The meta-analysis showed an overall beneficial effect of omega-3 polyunsaturated fatty acids on depression symptoms (SMD = −0.28,P = 0.004). Compared with placebo, EPA-pure (=100% EPA) and EPA-major formulations (≥60% EPA) demonstrated clinical benefits with an EPA dosage ≤1 g/d (SMD = −0.50,P = 0.003, and SMD = −1.03,P = 0.03, respectively), whereas DHA-pure and DHA-major formulations did not exhibit such benefits.Current evidence supports the finding that omega-3 PUFAs with EPA ≥ 60% at a dosage of ≤1 g/d would have beneficial effects on depression. Further studies are warranted to examine supplementation with omega-3 PUFAs for specific subgroups of subjects with inflammation, severity of depression, and the dose response for both EPA and DHA supplementation.
Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models
Authors: Paul Riya , Andlauer Till. F. M. , Czamara Darina , Hoehn David , Lucae Susanne , Pütz Benno , Lewis Cathryn M. , Uher Rudolf , Müller-Myhsok Bertram , Ising Marcus , Sämann Philipp G. 
Published: August 2019

AbstractThe identification of generalizable treatment response classes (TRC[s]) in major depressive disorder (MDD) would facilitate comparisons across studies and the development of treatment prediction algorithms. Here, we investigated whether such stable TRCs can be identified and predicted by clinical baseline items. We analyzed data from an observational MDD cohort (Munich Antidepressant Response Signature [MARS] study, N = 1017), treated individually by psychopharmacological and psychotherapeutic means, and a multicenter, partially randomized clinical/pharmacogenomic study (Genome-based Therapeutic Drugs for Depression [GENDEP], N = 809). Symptoms were evaluated up to week 16 (or discharge) in MARS and week 12 in GENDEP. Clustering was performed on 809 MARS patients (discovery sample) using a mixed model with the integrated completed likelihood criterion for the assessment of cluster stability, and validated through a distinct MARS validation sample and GENDEP. A random forest algorithm was used to identify prediction patterns based on 50 clinical baseline items. From the clustering of the MARS discovery sample, seven TRCs emerged ranging from fast and complete response (average 4.9 weeks until discharge, 94% remitted patients) to slow and incomplete response (10% remitted patients at week 16). These proved stable representations of treatment response dynamics in both the MARS and the GENDEP validation sample. TRCs were strongly associated with established response markers, particularly the rate of remitted patients at discharge. TRCs were predictable from clinical items, particularly personality items, life events, episode duration, and specific psychopathological features. Prediction accuracy improved significantly when cluster-derived slopes were modelled instead of individual slopes. In conclusion, model-based clustering identified distinct and clinically meaningful treatment response classes in MDD that proved robust with regard to capturing response profiles of differently designed studies. Response classes were predictable from clinical baseline characteristics. Conceptually, model-based clustering is translatable to any outcome measure and could advance the large-scale integration of studies on treatment efficacy or the neurobiology of treatment response.