bluuebunny/crossref_metadata_2025_split huggingface dataset:
Versorgung des abdominellen Aortenaneurysmas (AAA) 2019
Authors: Schmitz-Rixen T. , Steffen M. , Böckler D. , Grundmann R. T. 
Published: November 2020

Zusammenfassung
Zielsetzung
Die Daten für das Jahr 2019 des Registers „Abdominelles Aortenaneurysma“ (AAA) des Deutschen Instituts für Gefäßmedizinische Gesundheitsforschung (DIGG) der Deutschen Gesellschaft für Gefäßchirurgie und Gefäßmedizin werden vorgestellt.

Methodik
Im Jahr 2019 beteiligten sich an dem Register insgesamt 109 Kliniken. Für die offene Versorgung (OR) des intakten AAA (iAAA) gaben 78 (71,6 %) Kliniken, für die endovaskuläre Versorgung (EVAR) des iAAA 102 (93,6 %) Kliniken Daten ein. Für das rupturierte AAA (rAAA) wurden von 36 Kliniken (33,0 %) (EVAR) bzw. 50 (45,9 %) Kliniken (OR) Patienten gemeldet. Ausgewertet wurden die Daten von 1967 stationär behandelten Patienten. Von den insgesamt 1793 iAAA waren 1501 infrarenal (83,7 %) und 292 (16,3 %) juxtarenal gelegen.

Ergebnisse
1429 iAAA (79,7 %) wurden endovaskulär und 364 (20,3 %) offen versorgt. Bei den endovaskulär versorgten Patienten mit iAAA verlief der Eingriff in 86,3 % der Fälle komplikationslos. Es verstarben insgesamt 15 Patienten (1,0 %) bis zur Entlassung. Bei den offen versorgten Patienten wiesen 67,0 % der Patienten keine Komplikationen auf. Verstorben sind insgesamt 20 Patienten (5,5 %). Bei EVAR war die Klinikletalität bei Versorgung juxtarenaler AAA mit 3,7 % signifikant höher als bei Versorgung infrarenaler AAA mit 0,6 % (p = 0,002), bei OR konnten hingegen keine signifikanten Unterschiede hinsichtlich der Klinikletalität aufgezeigt werden (juxtarenal 4,8 %, infrarenal 5,8 %; p = 0,470). Von den 174 Patienten mit rAAA wurden 80 (46,0 %) endovaskulär und 94 (54,0 %) offen versorgt. Bei EVAR sind 20,0 % der Patienten während des stationären Aufenthalts verstorben, bei OR 36,2 %.

Schlussfolgerung
Die Ergebnisse des Jahres 2019 zu Klinikletalität und Morbidität bei endovaskulärer und offener Versorgung des iAAA bestätigen weitgehend die publizierten Ergebnisse für die Jahre 2013 bis 2018. Beim rAAA sind die Ergebnisse der einzelnen Jahresberichte hingegen widersprüchlich, die kleinen berichteten jährlichen Fallzahlen erlauben nur Aussagen über größere Zeiträume.
A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis
Authors: Li Xukun , Zhou Yukun , Du Peng , Lang Guanjing , Xu Min , Wu Wei 
Published: November 2020

AbstractThe purpose of this study was to establish and validate a new deep learning system that generates quantitative computed tomography (CT) reports for the diagnosis of pulmonary tuberculosis (PTB) in clinic. 501 CT imaging datasets were collected from 223 patients with active PTB, while another 501 datasets, which served as negative samples, were collected from a healthy population. All the PTB datasets were labeled and classified manually by professional radiologists. Then, four state-of-the-art 3D convolution neural network (CNN) models were trained and evaluated in the inspection of PTB CT images. The best model was selected to annotate the spatial location of lesions and classify them into miliary, infiltrative, caseous, tuberculoma, and cavitary types. The Noisy-Or Bayesian function was used to generate an overall infection probability of this case. The results showed that the recall and precision rates of detection, from the perspective of a single lesion region of PTB, were 85.9% and 89.2%, respectively. The overall recall and precision rates of detection, from the perspective of one PTB case, were 98.7% and 93.7%, respectively. Moreover, the precision rate of type classification of the PTB lesion was 90.9%. Finally, a quantitative diagnostic report of PTB was generated including infection possibility, locations of the lesion, as well as the types. This new method might serve as an effective reference for decision making by clinical doctors.
Exploring Flood Filling Networks for Instance Segmentation of XXL-Volumetric and Bulk Material CT Data
Authors: Gruber Roland , Gerth Stefan , Claußen Joelle , Wörlein Norbert , Uhlmann Norman , Wittenberg Thomas 
Published: November 2020

AbstractXXL-Computed Tomography (XXL-CT) is able to produce large scale volume datasets of scanned objects such as crash tested cars, sea and aircraft containers or cultural heritage objects. The acquired image data consists of volumes of up to and above$$\hbox {10,000}^{3}$$10,0003voxels which can relate up to many terabytes in file size and can contain multiple 10,000 of different entities of depicted objects. In order to extract specific information about these entities from the scanned objects in such vast datasets, segmentation or delineation of these parts is necessary. Due to unknown and varying properties (shapes, densities, materials, compositions) of these objects, as well as interfering acquisition artefacts, classical (automatic) segmentation is usually not feasible. Contrarily, a complete manual delineation is error-prone and time-consuming, and can only be performed by trained and experienced personnel. Hence, an interactive and partial segmentation of so-called “chunks” into tightly coupled assemblies or sub-assemblies may help the assessment, exploration and understanding of such large scale volume data. In order to assist users with such an (possibly interactive) instance segmentation for the data exploration process, we propose to utilize delineation algorithms with an approach derived from flood filling networks. We present primary results of a flood filling network implementation adapted to non-destructive testing applications based on large scale CT from various test objects, as well as real data of an airplane and describe the adaptions to this domain. Furthermore, we address and discuss segmentation challenges due to acquisition artefacts such as scattered radiation or beam hardening resulting in reduced data quality, which can severely impair the interactive segmentation results.
Treatment for Younger Siblings of Participants in a Home-Based Intensive Paediatric Feeding Programme in Australia
Authors: Taylor Tessa , Haberlin Alayna 
Published: November 2020

AbstractEarly childhood feeding problems can be challenging. Children who limit their food consumption may significantly impact multiple critical areas of development. Effective treatment should be accessed as early as possible but has been limited to a handful of US hospital programmes. Feeding problems affect both children with and without disability, and families may struggle with multiple children having feeding difficulties. We provided short-term (less than 2 weeks), in-home, intensive, behaviour-analytic feeding intervention to two children with typical development who were younger siblings of children already in the programme. We used a withdrawal/reversal design to assess the effects of nonremoval of the spoon, re-presentation, contingent and noncontingent access to tangibles, differential attention, and response cost. This multi-component intervention was effective in increasing the consumption of a wide variety of foods at regular texture and self-feeding for both participants. Variety was increased to over 60 foods from all food groups. Admission goals were met (100%). We trained caregivers to high procedural integrity and generalised the protocol. We provided actual plate picture examples of family meals consumed where the brothers and parents ate the same meal. Caregiver satisfaction and social acceptability were high. Gains were maintained at 3-year follow-up where parents reported problems were fully resolved.
Investing in Low-Trust Countries: On the Role of Social Trust in the Global Mutual Fund Industry
Authors: Massa Massimo , Wang Chengwei , Zhang Hong , Zhang Jian 
Published: November 2020

AbstractWe hypothesize that social trust, in mitigating contracting incompleteness, may have an important effect on the activeness and effectiveness of delegated portfolio management. Using a complete sample of worldwide open-end mutual funds, we find that trust is positively associated with the activeness of funds and that trust-related active share delivers superior performance (e.g., approximately 2% per year for cross-border investments). Moreover, “trust in the market” and “trust in managers” play important yet different roles for different types of cross-border delegated portfolio management. Our results suggest that trust acts as a fundamental building block for delegated portfolio management.
Inhibitory effect of positional syllable frequency in Spanish 2nd and 4th grade readers
Authors: Luque J. L. , Álvarez C. J. , Bordoy S. , Giménez A. , López-Pérez P. J. , López-Zamora M. 
Published: November 2020

AbstractThe inhibitory effect of positional syllable frequency is a well-known phenomenon in visual word recognition: words with high-frequency syllables require extra time for deactivating the lexical syllabic neighbors. The inhibitory effect implies that a connection exists between graphemes, phonemes, the first syllable, and the phonological lexicon. However, experimental results of the first developmental stages of occurrence are scarce and inconclusive. A second- and fourth-grade sample of typical school readers participated in a lexical decision task containing high/low frequency words and high/low syllable frequency words. Our primary hypothesis was that the inhibitory effect would be found on both school grade groups. We did not predict significant differences in magnitude of effect between second- and fourth-grade participants. A general inhibitory effect was found, and separate analyses by school grade groups also indicated significant inhibitory effects. Furthermore, second- and fourth-grade children showed small sizes of the inhibitory effect, resembling the sizes found in adult normal readers. Our results suggest that Spanish readers reach a functional connection between syllables and words at an early stage. The straightforward theoretical implication is that the inhibitory effect relies heavily on the structural properties of the lexical access system that are acquired at an early age.
Development and validation of the patient history COVID-19 (PH-Covid19) scoring system: a multivariable prediction model of death in Mexican patients with COVID-19
Authors: Mancilla-Galindo J. , Vera-Zertuche J. M. , Navarro-Cruz A. R. , Segura-Badilla O. , Reyes-Velázquez G. , Tepepa-López F. J. , Aguilar-Alonso P. , Vidal-Mayo J. de J. , Kammar-García A. 
Published: November 2020

Abstract
Most of the existing prediction models for COVID-19 lack validation, are inadequately reported or are at high risk of bias, a reason which has led to discourage their use. Few existing models have the potential to be extensively used by healthcare providers in low-resource settings since many require laboratory and imaging predictors. Therefore, we sought to develop and validate a multivariable prediction model of death in Mexican patients with COVID-19, by using demographic and patient history predictors. We conducted a national retrospective cohort study in two different sets of patients from the Mexican COVID-19 Epidemiologic Surveillance Study. Patients with a positive reverse transcription-polymerase chain reaction for SARS-CoV-2 and complete unduplicated data were eligible. In total, 83 779 patients were included to develop the scoring system through a multivariable Cox regression model; 100 000, to validate the model. Eight predictors (age, sex, diabetes, chronic obstructive pulmonary disease, immunosuppression, hypertension, obesity and chronic kidney disease) were included in the scoring system called PH-Covid19 (range of values: −2 to 25 points). The predictive model has a discrimination of death of 0.8 (95% confidence interval (CI) 0.796–0.804). The PH-Covid19 scoring system was developed and validated in Mexican patients to aid clinicians to stratify patients with COVID-19 at risk of fatal outcomes, allowing for better and efficient use of resources.
The Opera and the Omnibus: Material Culture, Urbanism and Boieldieu'sLa dame blanche
Authors: Vilkner Nicole 
Published: November 2020

AbstractIn the summer of 1828, the Entreprise générale des Dames Blanches launched a fleet of white omnibuses onto the streets of Paris. These public transportation vehicles were named and fashioned after Boieldieu'sopéra comique La dame blanche(1825): their rear doors were decorated with scenes of Scotland, their flanks painted with gesturing opera characters, and their mechanical horns trumpeted fanfares through the streets. The omnibuses offered one of the first mass transportation systems in the world and were an innovation that transformed urban circulation. During their thirty years of circulation, the omnibuses also had a profound effect on the reception history of Boieldieu's opera. When the omnibuses improved the quality of working- and middle-class life, bourgeois Parisians applauded the vehicles’ egalitarian business model, and Boieldieu's opera became unexpectedly entwined in the populist rhetoric surrounding the omnibus. Viewing opera through the lens of the Dames Blanches, Parisians conflated the sounds of opera and street, as demonstrated by Charles Valentin Alkan's piano pieceLes omnibus, Op. 2 (1829), which combines operatic idioms and horn calls. Through these examples and others, this study examines the complex ways that material culture affects the dissemination and reception of a musical work.
Gender and Violence against Political Candidates: Lessons from Sri Lanka
Authors: Bjarnegård Elin , Håkansson Sandra , Zetterberg Pär 
Published: November 2020

AbstractA nascent body of literature has highlighted the violence (broadly defined) that women sometimes face as they enter politics. Some interpretations depict this violence as primarily gender motivated: women politicians are targeted because they are women. Another interpretation is that violence in some contexts is an everyday political practice targeting men and women alike. However, because we lack large-scale, systematic comparisons of men's and women's exposure to election violence, we know little about the extent to which—and how—candidate sex shapes this form of violence. We address this research gap by using original survey data on 197 men and women political candidates in the 2018 Sri Lankan local elections. Sri Lanka is a suitable case for analysis because it is a postconflict country in which political violence has been endemic and the number of women candidates has increased rapidly due to gender quota adoption. Overall, we find large similarities in men's and women's exposure to violence, suggesting that violence sometimes is part of a larger political practice. However, we find that women are exposed to forms of intimidation of a sexual nature more often than men. This finding demonstrates the need for gender-sensitive analyses of election violence.
NHS Health Checks for people with mental ill-health 2013–2017: an observational study
Authors: Garriga C. , Robson J. , Coupland C. , Hippisley-Cox J. 
Published: November 2020

Abstract

Aims
People living with serious mental ill-health experience adverse cardiovascular outcomes causing some of the greatest health inequality gaps in England, UK. We describe uptake of the NHS Health Check programme in people with mental ill-health, and rates of new diagnoses and management of cardiovascular risk factors in those who attend NHS Health Checks in comparison to those people without mental ill-health.

Methods
We used a large nationally representative database of people registered with general practitioners in England (QResearch). Between 2013 and 2017, we analysed attendance at NHS Health Checks and outcomes in the succeeding 12 months, in people with serious mental illness (SMI) including psychoses and in people prescribed long-term antidepressant medications (LTAD), with comparison to attendees who did not have these conditions. Hazard ratios (HR) were used to describe the association between outcomes and SMI and LTAD adjusting for sociodemographic variables.

Results
In those eligible for the NHS Health Check programme, we found a higher percentage of people with SMI attended an NHS Health Check (65 490, 19.8%) than those without SMI (524 728, 16.6%); adjusted HR 1.05 [95% confidence interval 1.02–1.08]. We also observed a higher percentage of attendance in people on LTAD (46 437, 20.1%) compared to people who were not prescribed LTAD (543 781, 16.7%); adjusted HR 1.10 (1.08–1.13). People with SMI were more likely to be identified with chronic kidney disease (CKD, HR 1.23, 1.12–1.34) and type 2 diabetes (HR 1.14, 1.03–1.25) within the 12 months following their NHS Health Check compared with those without SMI. People on LTAD were more likely to be identified with CKD (HR 1.55, 1.42–1.70) and type 2 diabetes (HR 1.45, 1.31–1.60) and also hypertension, cardiovascular disease, non-diabetic hyperglycaemia, familial hypercholesterolemia and dementia within the 12 months following their NHS Health Check. Statins were more likely to be prescribed to NHS Health Check attendees with SMI and those on LTAD than those without these conditions; HR 1.31 (1.25–1.38) and 1.91 (1.82–2.01), respectively. Antihypertensives were more likely to be prescribed to those on LTAD; HR 1.21 (1.14–1.29).

Conclusions
We found evidence that people with SMI or on LTAD treatment were 5–10% more likely to access NHS Health Checks than people without these conditions. People with SMI or on LTAD treatment who attended NHS Health Checks had higher rates of diagnosis of CKD, type 2 diabetes and some other relevant co-morbidities and increased treatment with statins and also anti-hypertensive medication in people on LTAD. This is likely to contribute to equitable reduction in adverse cardiovascular events for people with mental ill-health.
Mercury's Interior Structure Constrained by Density and P‐Wave Velocity Measurements of Liquid Fe‐Si‐C Alloys
Authors: Knibbe J. S. , Rivoldini A. , Luginbuhl S. M. , Namur O. , Charlier B. , Mezouar M. , Sifre D. , Berndt J. , Kono Y. , Neuville D. R. , van Westrenen W. , Van Hoolst T. 
Published: November 2020

AbstractExperimental measurements of density by X‐ray absorption and of P‐wave velocity by ultrasonic techniques of liquid Fe‐(<17 wt%) Si‐(<4.5 wt%) C alloys at pressures up to 5.8 GPa are presented. These data are used to construct an Fe‐Si‐C liquid mixing model and to characterize interior structure models of Mercury with liquid outer core composed of Fe‐Si‐C. The interior structure models are constrained by geodetic measurements of the planet, such as the obliquity and libration of Mercury. The results indicate that S and/or C with concentrations at the wt% level are likely required in Mercury's core to ensure the existence of an inner core with a radius (below ∼1,200 km) that is consistent with reported dynamo simulations for Mercury's magnetic field. Interior structure models with more than 14 wt% Si in the core, estimated for Mercury by assuming an EH chondrite‐like bulk composition, are only feasible if the obliquity of Mercury is near the upper limit of observational uncertainties (2.12 arcmin) and the mantle is dense (3.43–3.68 g·cm−3). Interior structure models with the central obliquity value (2.04 arcmin) and less than 7.5 wt% Si in the core, consistent with estimates of Mercury's core composition from an assumed CB chondrite‐like bulk composition, are compatible with 3.15–3.35 g·cm−3 mantle densities and an inner core radius below 1,200 km. Interior structure models with the obliquity of Mercury near the lower observational uncertainty limit (1.96 arcmin) have a low‐density mantle (2.88–3.03 g·cm−3), less than 4 wt% Si in the core, and an inner core radius larger than 1,600 km.
Little Effect of Land Use on N2O and NO Emission Pulses Following Rewetting of Dry Soils Across Seasonally Dry sub‐Saharan Africa
Authors: Hickman Jonathan E. , Kaya Bocary , Kebede Abhraham , Kandji Serigne , Fitch Laura , Neill Christopher , Nyadzi Gerson , Diru Willy , Palm Cheryl A. 
Published: November 2020

AbstractIn seasonally dry ecosystems, which are common in sub‐Saharan Africa, precipitation after dry periods can cause large pulses of nitrous oxide (N2O), a greenhouse gas, and of nitric oxide (NO), a precursor to tropospheric ozone pollution. Agricultural practices can change soil characteristics, affecting trace N gas emissions. To evaluate the effects of land use on trace gas pulses at the start of the rainy season, we conducted laboratory measurements of N2O and NO fluxes from soils collected from four pairs of agricultural and natural savannah sites across the Sudano‐Sahelian zone. We also conducted in situ wetting experiments, measuring NO fluxes from fallow sandy soils in Tanzania and NO and N2O fluxes from clayey soils in Kenya with different histories of fertilizer use. In incubation studies, NO increased by a factor of 7 to 25 following wetting, and N2O fluxes shifted from negative to positive; cumulative NO fluxes were an order of magnitude larger than cumulative N2O fluxes. In Kenya and Tanzania, NO increased by 1 to 2 orders of magnitude after wetting, and N2O increased by a factor of roughly 5 to 10. Cumulative NO fluxes ranged from 87 to 115 g NO‐N ha−1 across both countries—a substantial proportion of annual emissions—compared to roughly 1 g N2O‐N in Kenya. There were no effects of land use or fertilization history on the magnitude of NO or N2O pulses, though land use may have been confounded with differences in soil texture potentially limiting the ability to detect land use effects.
Single-cell network biology for resolving cellular heterogeneity in human diseases
Authors: Cha Junha , Lee Insuk 
Published: November 2020

AbstractUnderstanding cellular heterogeneity is the holy grail of biology and medicine. Cells harboring identical genomes show a wide variety of behaviors in multicellular organisms. Genetic circuits underlying cell-type identities will facilitate the understanding of the regulatory programs for differentiation and maintenance of distinct cellular states. Such a cell-type-specific gene network can be inferred from coregulatory patterns across individual cells. Conventional methods of transcriptome profiling using tissue samples provide only average signals of diverse cell types. Therefore, reconstructing gene regulatory networks for a particular cell type is not feasible with tissue-based transcriptome data. Recently, single-cell omics technology has emerged and enabled the capture of the transcriptomic landscape of every individual cell. Although single-cell gene expression studies have already opened up new avenues, network biology using single-cell transcriptome data will further accelerate our understanding of cellular heterogeneity. In this review, we provide an overview of single-cell network biology and summarize recent progress in method development for network inference from single-cell RNA sequencing (scRNA-seq) data. Then, we describe how cell-type-specific gene networks can be utilized to study regulatory programs specific to disease-associated cell types and cellular states. Moreover, with scRNA data, modeling personal or patient-specific gene networks is feasible. Therefore, we also introduce potential applications of single-cell network biology for precision medicine. We envision a rapid paradigm shift toward single-cell network analysis for systems biology in the near future.