bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trauma, Social Work, and Psychodrama
Authors: Giacomucci Scott 
Published: February 2021

AbstractThe history and principles of trauma-informed practice in social work are presented while differentiating trauma-informed and trauma-focused practices. The practice of trauma-focused group therapy and trauma-focused psychodrama is outlined while acknowledging the recent calls for increased trauma content in graduate curriculums. Safety, play, and spontaneity are elevated as core elements in psychodrama’s effectiveness in working with trauma survivors. Psychodrama’s unique capacity for treating post-traumatic stress disorder (PTSD) is presented while outlining two trauma-focused psychodrama models—the Therapeutic Spiral Model and the Relational Trauma Repair Model.
4d F(4) gauged supergravity and black holes of class ℱ
Authors: Hosseini Seyed Morteza , Hristov Kiril 
Published: February 2021

Abstract
We perform a consistent reduction of 6d matter-coupled F(4) supergravity on a compact Riemann surface $$ {\Sigma}_{\mathfrak{g}} $$

Σ
g

of genus $$ \mathfrak{g} $$
g
, at the level of the bosonic action. The result is an $$ \mathcal{N} $$
N
= 2 gauged supergravity coupled to two vector multiplets and a single hypermultiplet. The four-dimensional model is holographically dual to the 3d superconformal field theories of class ℱ, describing different brane systems in massive type IIA and IIB wrapped on $$ {\Sigma}_{\mathfrak{g}} $$

Σ
g

. The naive reduction leads to a non-standard 4d mixed duality frame with both electric and magnetic gauge fields, as well as a massive tensor, that can be only described in the embedding tensor formalism. Upon a chain of electromagnetic dualities, we are able to determine the scalar manifolds and electric gaugings that uniquely specify the model in the standard supergravity frame. We then use the result to construct the first examples of static dyonic black holes in AdS6 and perform a microscopic counting of their entropy via the 5d topologically twisted index. Finally, we show the existence of further subtruncations to the massless sector of the 4d theory, such as the Fayet-Iliopoulos gauged T3 model and minimal gauged supergravity. We are in turn able to find new asymptotically AdS4 solutions, providing predictions for the squashed S3 partition functions and the superconformal and refined twisted indices of class ℱ theories.
Covariance matrix forecasting using support vector regression
Authors: Fiszeder Piotr , Orzeszko Witold 
Published: February 2021

AbstractSupport vector regression is a promising method for time-series prediction, as it has good generalisability and an overall stable behaviour. Recent studies have shown that it can describe the dynamic characteristics of financial processes and make more accurate forecasts than other machine learning techniques. The first main contribution of this paper is to propose a methodology for dynamic modelling and forecasting covariance matrices based on support vector regression using the Cholesky decomposition. The procedure is applied to range-based covariance matrices of returns, which are estimated on the basis of low and high prices. Such prices are most often available with closing prices for many financial series and contain more information about volatility and relationships between returns. The methodology guarantees the positive definiteness of the forecasted covariance matrices and is flexible, as it can be applied to different dependence patterns. The second contribution of the paper is to show with an example of the exchange rates from the forex market that the covariance matrix forecasts calculated using the proposed approach are more accurate than the forecasts from the benchmark dynamic conditional correlation model. The advantage of the suggested procedure is higher during turbulent periods, i.e., when forecasting is the most difficult and accurate forecasts matter most.
Trait positions for elevated invasiveness in adaptive ecological networks
Authors: Hui Cang , Richardson David M. , Landi Pietro , Minoarivelo Henintsoa O. , Roy Helen E. , Latombe Guillaume , Jing Xin , CaraDonna Paul J. , Gravel Dominique , Beckage Brian , Molofsky Jane 
Published: February 2021

AbstractOur ability to predict the outcome of invasion declines rapidly as non-native species progress through intertwined ecological barriers to establish and spread in recipient ecosystems. This is largely due to the lack of systemic knowledge on key processes at play as species establish self-sustaining populations within the invaded range. To address this knowledge gap, we present a mathematical model that captures the eco-evolutionary dynamics of native and non-native species interacting within an ecological network. The model is derived from continuous-trait evolutionary game theory (i.e., Adaptive Dynamics) and its associated concept of invasion fitness which depicts dynamic demographic performance that is both trait mediated and density dependent. Our approach allows us to explore how multiple resident and non-native species coevolve to reshape invasion performance, or more precisely invasiveness, over trait space. The model clarifies the role of specific traits in enabling non-native species to occupy realised opportunistic niches. It also elucidates the direction and speed of both ecological and evolutionary dynamics of residing species (natives or non-natives) in the recipient network under different levels of propagule pressure. The versatility of the model is demonstrated using four examples that correspond to the invasion of (i) a horizontal competitive community; (ii) a bipartite mutualistic network; (iii) a bipartite antagonistic network; and (iv) a multi-trophic food web. We identified a cohesive trait strategy that enables the success and establishment of non-native species to possess high invasiveness. Specifically, we find that a non-native species can achieve high levels of invasiveness by possessing traits that overlap with those of its facilitators (and mutualists), which enhances the benefits accrued from positive interactions, and by possessing traits outside the range of those of antagonists, which mitigates the costs accrued from negative interactions. This ‘central-to-reap, edge-to-elude’ trait strategy therefore describes the strategic trait positions of non-native species to invade an ecological network. This model provides a theoretical platform for exploring invasion strategies in complex adaptive ecological networks.
Multi-criteria Evaluation in Strategic Environmental Assessment in the Creation of a Sustainable Agricultural Waste Management Plan for wineries: Case Study: Oplenac Vineyard
Authors: Josimović Boško , Krunić Nikola , Gajić Aleksandra , Manić Božidar 
Published: February 2021

AbstractStrategic Environmental Assessment (SEA), as a support to strategic planning, is a starting point in the creation of a sustainable concept of managing waste that is based on the principles of a circular economy. The role of SEA is to guide the planning process towards the goal of securing the best effects in relation to the quality of the living environment and the socio-economic aspects of development. SEA is also an instrument that can be used when making optimal decisions about spatial development, which further contributes to its importance and role in the planning process. The implementation of SEA allows developers to establish the benefits and implications of the proposed spatial changes, taking into account the capacity of the space to sustain the planned development, and to determine the degree of acceptability of the proposed spatial changes. This paper presents a specific method used for impact assessment in SEA for the Agro-Waste Management Plan (AWMP) for Oplenac Vineyard. The specificity of this method is that it combines specific goals, indicators and criteria for assessing the effect of planning solutions formulated in the simulated AWMP for Oplenac Vineyard using a semi-quantitative expert method. The results of the paper indicate the possibility of using GIS tools to increase objectivity in the expert evaluation of planning solutions, particularly in relation to a group of criteria for assessing the spatial dispersion of the impacts. This reduces the subjectivity that is characteristic of all expert methods. The graphical presentation of the results in GIS technology and the use of matrices and graphs to present the results makes them easier to understand and creates a good basis for making optimal decisions on future activities concerning the elimination of waste from wineries and viticulture. The research was carried out within the framework of the NoAW project, which is supported by the European Commission through the Horizon2020 research and innovation program.
Reliable Residual-Based Error Estimation for the Finite Cell Method
Authors: Di Stolfo Paolo , Schröder Andreas 
Published: February 2021

AbstractIn this work, the reliability of a residual-based error estimator for the Finite Cell method is established. The error estimator is suitable for the application of hp-adaptive finite elements and allows for Neumann boundary conditions on curved boundaries. The reliability proof of the error estimator relies on standard arguments of residual-based a posteriori error control, but includes several modifications with respect to the error contributions associated with the volume residuals as well as the jumps across inner edges and Neumann boundary parts. Important ingredients of the proof are Stein’s extension theorem and a modified trace theorem which estimates the norm of the trace on (curved) boundary parts in terms of the local mesh size and polynomial degree. The efficiency of the error estimator is also considered by discussing an artificial example which yields an efficiency index depending on the mesh-family parameter h. Numerical experiments on more realistic domains, however, suggest global efficiency with the occurrence of a large overestimation on only few cut elements. In the experiments the reliability of the error estimator is demonstrated for h- and p-uniform as well as for hp-geometric and h-adaptive refinements driven by the error estimator. The practical applicability of the error estimator is also studied for a 3D problem with a non-smooth solution.
Management of multiple brain metastases: a patterns of care survey within the German Society for Radiation Oncology
Authors: Kraft Johannes , Mayinger Michael , Willmann Jonas , Brown Michelle , Tanadini-Lang Stephanie , Wilke Lotte , Guckenberger Matthias , Andratschke Nicolaus 
Published: February 2021

Abstract
Purpose
The treatment of brain metastases (BM) has changed considerably in recent years and in particular, the management of multiple BM is currently undergoing a paradigm shift and treatment may differ from current guidelines. This survey was designed to analyze the patterns of care in the management of multiple BM.

Methods
An online survey consisting of 36 questions was distributed to the members of the German Society for Radiation Oncology (DEGRO).

Results
In total, 193 physicians out of 111 institutions within the German Society for Radiation oncology responded to the survey. Prognostic scores for decision making were not used regularly. Whole brain radiotherapy approaches (WBRT) are the preferred treatment option for patients with multiple BM, although stereotactic radiotherapy treatments are chosen by one third depending on prognostic scores and overall number of BM. Routine hippocampal avoidance (HA) in WBRT is only used by a minority. In multiple BM of driver-mutated non-small cell lung cancer origin up to 30% favor sole TKI therapy as upfront treatment and would defer upfront radiotherapy.

Conclusion
In multiple BM WBRT without hippocampal avoidance is still the preferred treatment modality of choice regardless of GPA and mutational status, while SRT is only used in patients with good prognosis. Evidence for both, SRS and hippocampal avoidance radiotherapy, is growing albeit the debate over the appropriate treatment in multiple BM is yet not fully clarified. Further prospective assessment of BM management—ideally as randomized trials—is required to align evolving concepts with the proper evidence and to update current guidelines.
Planar efficient metasurface for generation of Bessel beam and super-resolution focusing
Authors: Li Dancui , Wang Xiaorui , Ling Jinzhong , Yuan Ying 
Published: February 2021

AbstractIn this paper, we propose a device generating Bessel beam that can assist microscope to enhance resolution of microscope to λ/3. As the conventional optical devices of generating Bessel beam have some drawbacks, such as low efficiency, and bulky volume, we design plane-axicons for generating Bessel beam using the principle of phase superposition. The designed plane-axicons can generate Bessel beams with zero-order and higher-order by changing topological charge n. We also demonstrate the FWHMs of plane-axicons about as small as λ/3 and have FWHMs with weak fluctuations independent of wavelength across the visible spectrum, which means the Bessel beam can be used to increase resolution of microscope. These performances make the plane-axicons can also enable other advanced research and applications related to Bessel beams ranging from laser fabrication to optical manipulation.
Pinpointing Brain TREM2 Levels in Two Mouse Models of Alzheimer’s Disease
Authors: Meier Silvio R. , Sehlin Dag , Hultqvist Greta , Syvänen Stina 
Published: February 2021

Abstract
Purpose
The triggering receptor expressed on myeloid cells 2 (TREM2) is expressed by brain microglia. Microglial activation, as observed in Alzheimer’s disease (AD) as well as in transgenic mice expressing human amyloid-beta, appears to increase soluble TREM2 (sTREM2) levels in CSF and brain. In this study, we used two different transgenic mouse models of AD pathology and investigated the potential of TREM2 to serve as an in vivo biomarker for microglial activation in AD.

Procedures
We designed and generated a bispecific antibody based on the TREM2-specific monoclonal antibody mAb1729, fused to a single-chain variable fragment of the transferrin receptor binding antibody 8D3. The 8D3-moiety enabled transcytosis of the whole bispecific antibody across the blood-brain barrier. The bispecific antibody was radiolabeled with I-125 (ex vivo) or I-124 (PET) and administered to transgenic AD and wild-type (WT) control mice. Radioligand retention in the brain of transgenic animals was compared to WT mice by isolation of brain tissue at 24 h or 72 h, or with in vivo PET at 24 h, 48 h, and 72 h. Intrabrain distribution of radiolabeled mAb1729-scFv8D3CL was further studied by autoradiography, while ELISA was used to determine TREM2 brain concentrations.

Results
Transgenic animals displayed higher total exposure, calculated as the AUC based on SUV determined at 24h, 48h, and 72h post injection, of PET radioligand [124I]mAb1729-scFv8D3CL than WT mice. However, differences were not evident in single time point PET images or SUVs. Ex vivo autoradiography confirmed higher radioligand concentrations in cortex and thalamus in transgenic mice compared to WT, and TREM2 levels in brain homogenates were considerably higher in transgenic mice compared to WT.

Conclusion
Antibody-based radioligands, engineered to enter the brain, may serve as PET radioligands to follow changes of TREM2 in vivo, but antibody formats with faster systemic clearance to increase the specific signal in relation to that from blood in combination with antibodies showing higher affinity for TREM2 must be developed to further progress this technique for in vivo use.
Gesundheits- und Risikoverhalten von Kindern und Jugendlichen mit und ohne Behinderung und krankheitsbedingter Einschränkung: Ergebnisse der Kinder und Jugendgesundheitsstudie (KiGGS-Welle 2)
Authors: Zelfl Loriane , Lutz Judith , Masciangelo Lisa , Rathmann Katharina 
Published: February 2021

Zusammenfassung
Hintergrund
Obwohl rund 10 % der Kinder und Jugendlichen in Deutschland mit Behinderung und/oder chronischer Erkrankung leben, wurde deren Gesundheits- und Risikoverhalten bislang nicht differenziert zwischen denjenigen mit und ohne Beeinträchtigung ausgewertet.

Forschungsziel
Ziel des Beitrags ist es, Unterschiede im Gesundheits- und Risikoverhalten zwischen 3‑ bis 17-Jährigen mit und ohne Beeinträchtigung in Deutschland darzustellen.

Material und Methode
Anhand der Daten der KiGGS-Welle 2 (Kinder und Jugendgesundheitsstudie 2014–2017) des Robert Koch-Instituts wurden Angaben von Eltern stellvertretend für die 3‑ bis 10-Jährigen und Angaben von 11- bis 17-Jährigen mit/ohne Behinderung und/oder krankheitsbedingter Erkrankung ausgewertet. Als abhängige Variablen wurden das Bewegungs‑, Ernährungs- und Mundgesundheitsverhalten (n = 11.110) sowie der Alkohol- und Tabakkonsum (n = 3060) in uni-, bi- und multivariaten Analysen herangezogen.

Ergebnisse
Die 3‑ bis 17-Jährigen mit Beeinträchtigung trinken seltener Alkohol, weisen allerdings häufiger einen hohen Konsum zuckerhaltiger Getränke, eine niedrige Zahnputzfrequenz und eine seltenere körperliche Aktivität auf als Gleichaltrige ohne Beeinträchtigung. Auch nach Kontrolle von soziodemografischen und -ökonomischen Merkmalen bleiben diese Assoziationen für den Konsum zuckerhaltiger Getränke, den Alkoholkonsum sowie die körperliche Inaktivität bestehen. Für den Tabakkonsum zeigen sich keine Unterschiede zwischen Heranwachsenden mit und ohne Beeinträchtigung.

Diskussion
Die Ergebnisse legen Handlungsbedarfe zur Stärkung eines gesundheitsförderlichen Verhaltens von 3‑ bis 17-Jährigen mit Beeinträchtigung in den Bereichen Bewegung und Ernährung nahe. Durch verhältnis- und verhaltenspräventive Maßnahmen sollte das Gesundheitsverhalten von Kindheit an zielgruppenspezifisch gefördert werden.
Cost-effectiveness of physical activity interventions in cancer survivors of developed countries: a systematic review
Authors: Gubler-Gut Barbara E. , Pöhlmann Johannes , Flatz Aline , Schwenkglenks Matthias , Rohrmann Sabine 
Published: February 2021

Abstract
Purpose
Physical activity has been shown to improve survival and quality of life of cancer patients. Due to differences in patient populations, healthcare settings, and types of intervention, cost-effectiveness analyses of physical activity interventions in cancer survivors are difficult to compare. Available evidence from breast cancer survivor research has shown inconsistent results, and transfer of results to other types of cancer is not straightforward. This paper systematically reviewed current evidence on the cost-effectiveness of physical activity interventions in cancer survivors independent of cancer type compared to usual care or another experimental intervention.

Methods
The literature search was conducted in seven databases and enhanced by a search for gray literature. Eligible studies were restricted to developed countries and assessed using the CHEERS, CHEC, and PHILIPS checklists. The study protocol was pre-published in PROSPERO.

Results
Seven studies, five cost-utility, and two combined cost-utility/cost-effectiveness analyses fully met the inclusion criteria. They covered eight different types of cancer and various interventions. The cost-effectiveness analyses were of moderate to high methodological quality. A high probability of cost-effectiveness was reported in two analyses. One intervention appeared to be not cost-effective, and one to be cost-effective only from an organizational perspective. Three other analyses reported a cost-effectiveness better than US$ 101,195 (€ 80,000) per QALY gained.

Conclusions
Physical activity interventions in cancer survivors of developed countries were cost-effective in some but not all clinical trials reviewed.

Implications for Cancer Survivors
Cost-effectiveness of physical activity interventions appear to depend upon the intensity of the activity.
Intracerebral Hemorrhage in COVID-19 Patients with Pulmonary Failure: A Propensity Score-Matched Registry Study
Authors: Lang Corinna N. , Dettinger Johanna S. , Berchtold-Herz Michael , Utzolino Stefan , Bemtgen Xavier , Zotzmann Viviane , Schmid Bonaventura , Biever Paul M. , Bode Christoph , Müller-Peltzer Katharina , Duerschmied Daniel , Wengenmayer Tobias , Niesen Wolf-Dirk , Staudacher Dawid L. 
Published: February 2021

AbstractBackgroundHypercoagulability in Coronavirus Disease 2019 (COVID-19) causes deep vein thrombosis and pulmonary embolism necessitating systemic anticoagulation. Case reports of intracerebral hemorrhages in ventilated COVID-19 patients warrant precaution. It is unclear, however, if COVID-19 patients with acute respiratory distress syndrome (ARDS) with or without veno-venous extracorporeal membrane oxygenation therapy (VV-ECMO) have more intracerebral hemorrhages (ICH) compared to other ARDS patients.MethodsWe conducted a retrospective observational single-center study enrolling all patients with ARDS from 01/2018 to 05/2020. PCR-positive SARS-CoV-2 patients with ARDS were allocated to the COVID-19 group. Propensity score matching was performed for age, VV-ECMO, and bleeding risk.ResultsA total of 163 patients with moderate or severe ARDS were identified, 47 (28.8%) in the COVID-19 group, and 116 (71.2%) in the non-COVID-19 group. In 63/163 cases (38.7%), VV-ECMO therapy was required. The ICU survival was 52.8%. COVID-19 patients were older, more often male, and exhibited a lower SOFA score, but the groups showed similar rates of VV-ECMO therapy. Treatments with antiplatelet agents (p = 0.043) and therapeutic anticoagulation (p = 0.028) were significantly more frequent in the COVID-19 patients. ICH was detected in 22 patients (13.5%) with no statistical difference between the groups (11.2 vs. 19.1% without and with SARS-CoV-2, respectively,p = 0.21). Propensity score matching confirmed similar rates of ICH in both groups (12.8 vs. 19.1% without and with SARS-CoV-2, respectively,p = 0.57), thus leveling out possible confounders.ConclusionsIntracerebral hemorrhage was detected in every tenth patient with ARDS. Despite statistically higher rates of antiplatelet therapy and therapeutic anticoagulation in COVID-19 patients, we found a similar rate of ICH in patients with ARDS due to COVID-19 compared to other causes of ARDS.
Variance Propagation for Density Surface Models
Authors: Bravington Mark V. , Miller David L. , Hedley Sharon L. 
Published: February 2021

AbstractSpatially explicit estimates of population density, together with appropriate estimates of uncertainty, are required in many management contexts. Density surface models (DSMs) are a two-stage approach for estimating spatially varying density from distance sampling data. First, detection probabilities—perhaps depending on covariates—are estimated based on details of individual encounters; next, local densities are estimated using a GAM, by fitting local encounter rates to location and/or spatially varying covariates while allowing for the estimated detectabilities. One criticism of DSMs has been that uncertainty from the two stages is not usually propagated correctly into the final variance estimates. We show how to reformulate a DSM so that the uncertainty in detection probability from the distance sampling stage (regardless of its complexity) is captured as an extra random effect in the GAM stage. In effect, we refit an approximation to the detection function model at the same time as fitting the spatial model. This allows straightforward computation of the overall variance via exactly the same software already needed to fit the GAM. A further extension allows for spatial variation in group size, which can be an important covariate for detectability as well as directly affecting abundance. We illustrate these models using point transect survey data of Island Scrub-Jays on Santa Cruz Island, CA, and harbour porpoise from the SCANS-II line transect survey of European waters. Supplementary materials accompanying this paper appear on-line.