bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tratamiento de la Enfermedad de Dupuytren en España
Authors: Cerveró Rafael Sanjuan , Herrero Diego Gómez , Parra Carlos Novoa , Molina Fernando Peña , Ferrando Nuria Franco 
Published: November 2019

Resumen
Objetivos Nuestro objetivo consiste en valorar la situación actual en España del tratamiento de la enfermedad de Dupuytren mediante una encuesta realizada a los cirujanos de mano españoles y compararla con una encuesta similar realizada en España antes de la comercialización de la colagenasa en Europa.
Material y Métodos Se remite una encuesta a los socios de la Sociedad Española de Cirugía de la Mano (SECMA) con 30 preguntas divididas en 4 bloques: aspectos demográficos, opinión general del tratamiento de la enfermedad de Dupuytren, casos clínicos y repercusión de la introducción de la colagenasa Clostridium Histolyticum en el tratamiento.
Resultados La tasa de respuesta fue del 38,2% sobre un total de 332 socios. La mayor parte de los participantes se consideró como cirujanos no noveles. La fasciectomía parcial es la técnica más frecuentemente utilizada (73% de los encuestados) y considerada de primera elección (61,9%) seguida por la colagenasa (23% y 31% respectivamente). Más de la mitad de los encuestados consideró que ha habido un cambio en el modo de afrontar la enfermedad de Dupuytren en los últimos 5 años. Con respecto a la colagenasa, actualmente el uso de los protocolos iniciales se ha abandonado, aunque el protocolo de tratamiento más habitual sigue siendo la administración de una dosis desechando el resto del vial.
Conclusiones Actualmente la fasciectomía parcial es la técnica preferida y más frecuentemente utilizada en la enfermedad de Dupuytren seguida de la colagenasa en España.
Holographic signatures of resolved cosmological singularities II: numerical investigations
Authors: Bodendorfer Norbert , Mele Fabio M , Münch Johannes 
Published: November 2019

Abstract
A common strategy to investigate the fate of gravitational singularities in asymptotically AdS spacetimes is to translate the question from the gravitational side to a dual field theory using the gauge/gravity correspondence and to do a field theory computation. Given recent progress in singularity resolution via non-perturbative quantum gravity, it is natural to now turn the question around and to ask about field theory signatures of resolved singularities. An investigation along this line has been initiated in a companion paper, where a finite-distance pole exhibited by the two-point correlator in the dual field theory, which has previously been linked directly to the gravitational bulk singularity, has been resolved in this way. In order to perform analytic computations, some simplifications were necessary. In this paper, we lift these restrictions by tackling the problem numerically. Our analysis shows that the pole in the two-point correlator gets resolved in the same manner as before.
Soft-magnetic coatings as possible sensors for magnetic imaging of superconductors
Authors: Ionescu A M , Simmendinger J , Bihler M , Miksch C , Fischer P , Soltan S , Schütz G , Albrecht J 
Published: November 2019

Abstract
Magnetic imaging of superconductors typically requires a soft-magnetic material placed on top of the superconductor to probe local magnetic fields. For reasonable results the influence of the magnet onto the superconductor has to be small. Thin YBCO films with soft-magnetic coatings are investigated using SQUID magnetometry. Detailed measurements of the magnetic moment as a function of temperature, magnetic field and time have been performed for different heterostructures. It is found that the modification of the superconducting transport in these heterostructures strongly depends on the magnetic and structural properties of the soft-magnetic material. This effect is especially pronounced for an inhomogeneous coating consisting of ferromagnetic nanoparticles.
Evaluation Maturity Level IT Risk Management of Metatrader Software Using Risk IT Framework With Domain Risk Governance (RG)
Authors: Dhaniawaty R P 
Published: November 2019

AbstractThe purpose of this study is to determine the extent to which companies anticipate and reduce information technology risks that will occur, it is necessary to evaluate information technology risk management. The method used in this study was evaluating information technology risk management is the Domain Risk Governance (RG) contained in the IT Risk Framework. The evaluation process using this framework and domain is that it can measure the level of company maturity in carrying out information technology risk management. The results of this study are companies knowing the level of maturity in implementing IT risk management at level 2 (recurring) and level 3 (defined), knowing the GAP between the current level of maturity with the target level of maturity and can increase the current level of maturity to achieve the target level it is desirable to use the recommendations given. So companies can compete with competitors in providing services, ensuring that IT risk management activities are aligned with company objectives, reducing losses in the IT implementation process, integrating IT risk strategies with business strategy risk decisions, and ensuring that decisions are made according to company objectives based on opportunities and the consequences that have been made.
Comparison of document similarity measurements in scientific writing using Jaro-Winkler Distance method and Paragraph Vector method
Authors: Cahyono S C 
Published: November 2019

Abstract
The purpose of this research is to study the methods of measuring the similarity of documents and tell us which is the most suitable for Indonesian Scientific Writing. This research method used was Jaro-Winkler Distance as method. Jaro-Winkler is a method that calculates the distance between strings and then measures the similarity. Doc2Vec (Paragraph Vector) is a method that aims to represent documents in vector form for comparison with the machine learning process. The results of this study compare the results of plagiarism detection between the Jaro-Winkler Distance method and the Doc2Vec method. The best measurement comparison method used is the accuracy of the comparison of documents and their speed. Using the dataset created, Doc2Vec outperformed the Jaro-Winkler Distance algorithm in comparing document similarities. Therefore, the development of a document similarity method will be easier in the future by using Doc2Vec (Paragraph Vector) in Indonesian scientific works.
Accurate detection of short and long active ORFs using Ribo-seq data
Authors: Choudhary Saket , Li Wenzheng , D. Smith Andrew 
Published: November 2019

Abstract

Motivation
Ribo-seq, a technique for deep-sequencing ribosome-protected mRNA fragments, has enabled transcriptome-wide monitoring of translation in vivo. It has opened avenues for re-evaluating the coding potential of open reading frames (ORFs), including many short ORFs that were previously presumed to be non-translating. However, the detection of translating ORFs, specifically short ORFs, from Ribo-seq data, remains challenging due to its high heterogeneity and noise.

Results
We present ribotricer, a method for detecting actively translating ORFs by directly leveraging the three-nucleotide periodicity of Ribo-seq data. Ribotricer demonstrates higher accuracy and robustness compared with other methods at detecting actively translating ORFs including short ORFs on multiple published datasets across species inclusive of Arabidopsis, Caenorhabditis elegans, Drosophila, human, mouse, rat, yeast and zebrafish.

Availability and implementation
Ribotricer is available at https://github.com/smithlabcode/ribotricer. All analysis scripts and results are available at https://github.com/smithlabcode/ribotricer-results.

Supplementary information
Supplementary data are available at Bioinformatics online.
Measles outbreak in a public hospital, Szczecin, Poland, January 2019
Authors: Koenig C , Wojtynska O , Paradowska-Stankiewicz I 
Published: November 2019

Abstract

Background
In January 2019, a measles infection in an employee in a 168-bed hospital was reported to the local sanitary station (PSSE) in Szczecin, Poland. Further transmission occurred in the hospital and more cases were reported in the community. We investigated to identify transmission routes and implement control measures.

Methods
An outbreak case was any hospital staff, visitor, or patient, or any person in contact with them, meeting clinical criteria, from 3rd January. Cases were interviewed by PSSE to identify contacts and verify vaccination status. Susceptible contacts were offered post exposure vaccination (PEV). Clinical specimens were sent to the National Reference Laboratory for RT-PCR and serology confirmation. We collected vaccination status, geographical location and queried hospital authorities about control measures.

Results
The index case, the hospital employee, returned from Ukraine one day before onset of symptoms. We identified 17 (8 confirmed, 7 probable, 2 suspect) outbreak cases including 11 hospital personnel. Four of the personnel provided vaccine documentation (36%), of which three had received 2 doses. Contacts identified as susceptible (130) received PEV. Eight cases were contacts of the index case but were not promptly identified and did not receive PEV. The hospital refused new admissions for 19 days.
Another 16 cases were identified in the community, with exposure information not sufficient to establish an epidemiologic link with the outbreak.

Conclusions
The introduction of measles into a susceptible population and missing contacts for PEV led to a hospital-associated outbreak. For the community cases, exposure may have occurred in multiple public spaces around the hospital.
Most of the hospital staff who developed measles lacked vaccination records. The PSSE has recommended MMR vaccination for all hospital personnel without such documentation.

Key messages
This study shows how a single imported case, in an environment poorly immunized could lead to an outbreak and potentially transmit it to the community. It is very important to keep a high rate of measles vaccination (95% recommended by WHO) in the community and insure of immunization status of health workers.
A common European framework on how to create healthy living environments on the local level
Authors: Quilling E , Plantz C 
Published: November 2019

Abstract
In a consensus-process, 17 national and regional Public Health authorities from 13 European countries agreed upon a common Policy Framework of Action (PFA) that summarizes the current evidence making the case for healthy living environments and the role of municipalities. The PFA provides a conceptual model for interventions including an ideal process, quality criteria and guiding principles that municipal approaches should be based on.
The PFA is a consensus document based on the results and decisions of the first meeting of the JAHEE-work package partners. It was then circulated among the Work package partners and the JAHEE Steering Committee in two feedback rounds. The PFA development was supported by an interdisciplinary German expert group in the field of public health. To draw up a catalogue of criteria to identify promising practice projects, a number of existing quality assurance instruments for health promotion and prevention focusing on reducing health inequalities were examined and central aspects of the various instruments were identified. The suggested catalogue of criteria is based on good practice as defined by European experience (EQUIHP, JANPA, CHRODIS, INHERIT and the good practice criteria of the German network Equity in Health). These instruments were systematically compared and the criteria found in most instruments were included in the criteria catalogue for the PFA.
Result: 16 good-practice-criteria could be identified - such as “target group orientation”, “concept driven strategy”, “empowerment”, “networking” etc. These criteria form an essential basis for the further partner process in the Joint Action. Furthermore, the PFA provides a conceptual model for interventions including an ideal process based on the public health action cycle and guiding principles that municipal approaches should include.
Mobilizing knowledge in behaviour change to promote health; the case of the Behaviour Change Wheel
Authors: Belanger-Gravel A 
Published: November 2019

Abstract

Issue/problem
Over the past decades, researchers from many fields have built an impressive body of knowledge regarding behaviour change. However, the use of this knowledge for accurately designing/delivering/executing behaviour change programs is challenging for many public health practitioners.

Description of the problem
To support effective knowledge mobilization in behaviour change and to build a coherent and useful body of scientific evidence, leading researchers in behavioural sciences have developed and refined a number of tools for designing interventions. Among these tools, the Behaviour Change Wheel (BCW) was built on an impressive effort to synthetize available evidence regarding intervention development frameworks, behaviour change theories, and behaviour change techniques. However, studies highlighted some issues associated with the use of these methodological innovations. Working with our public health partners in the field of health communication, we realized that applying models such as the BCW is far from being mundane practices. To support optimal knowledge mobilization in behavioural sciences, we are developing a research agenda to understand perceptions and motivations of public health practitioners toward innovations such as the BCW and to develop and evaluate knowledge mobilization strategies.

Results
The initiative will contribute to the development of new scientific knowledge regarding mechanisms underlying effective knowledge mobilization in behaviour change and will further support the adoption of these evidence-based practices within the field of public health.

Lessons
Although rapidly adopted by the community of researchers, it is not clear whether or not public health practitioners would be as willing, or capable of using the BCW to design and deliver programs. Issues regarding knowledge mobilization in behaviour change should be addressed to improve the uptake of this knowledge in practice.
MARSHAL, a novel tool for virtual phenotyping of maize root system hydraulic architectures
Authors: Meunier Félicien , Heymans Adrien , Draye Xavier , Couvreur Valentin , Javaux Mathieu , Lobet Guillaume 
Published: November 2019

Abstract
Functional-structural root system models combine functional and structural root traits to represent the growth and development of root systems. In general, they are characterized by a large number of growth, architectural and functional root parameters, generating contrasted root systems evolving in a highly non-linear environment (soil, atmosphere), which makes the link between local traits and functioning unclear. On the other end of the root system modelling continuum, macroscopic root system models associate to each root system a set of plant-scale, easily interpretable parameters. However, as of today, it is unclear how these macroscopic parameters relate to root-scale traits and whether the upscaling of local root traits is compatible with macroscopic parameter measurements. The aim of this study was to bridge the gap between these two modelling approaches. We describe here the MAize Root System Hydraulic Architecture soLver (MARSHAL), a new efficient and user-friendly computational tool that couples a root architecture model (CRootBox) with fast and accurate algorithms of water flow through hydraulic architectures and plant-scale parameter calculations. To illustrate the tool’s potential, we generated contrasted maize hydraulic architectures that we compared with root system architectural and hydraulic observations. Observed variability of these traits was well captured by model ensemble runs. We also analysed the multivariate sensitivity of mature root system conductance, mean depth of uptake, root system volume and convex hull to the input parameters to highlight the key model parameters to vary for virtual breeding. It is available as an R package, an RMarkdown pipeline and a web application.
Giant ovarian mucinous cystadenoma, a challenging situation in resource-limited countries
Authors: Moyon Miguel Angel , León Daysi Alejandra , Aguayo William G , Mecias Alejandro R , Moyon F Xavier , Tufiño Jorge , Yu Alberto , Molina Gabriel 
Published: November 2019

Abstract
Mucinous cystadenomas are a common benign neoplasm of the ovaries that can grow much larger than other adnexal masses; they are recognized as precursors of ovarian cancer and may slowly transform to borderline tumors and invasive ovarian cancer. Prompt and accurate treatment is essential as these tumors can grow to massive sizes and be potentially lethal if left untreated. Health care providers must understand the patient, their expectations and their problems; without proper communication and follow-up, any treatment is destined to disappoint. We present a case of a 76-year-old female with limited access to health care. She presented with a giant cystadenoma that grew over 1 year. Complete resection was decided and the patient underwent complete recovery. On follow-up control patient is doing well.
Molecular networks regulating cell division during Arabidopsis leaf growth
Authors: Vercruysse Jasmien , Baekelandt Alexandra , Gonzalez Nathalie , Inzé Dirk 
Published: November 2019

AbstractLeaves are the primary organs for photosynthesis, and as such have a pivotal role for plant growth and development. Leaf development is a multifactorial and dynamic process involving many genes that regulate size, shape, and differentiation. The processes that mainly drive leaf development are cell proliferation and cell expansion, and numerous genes have been identified that, when ectopically expressed or down-regulated, increase cell number and/or cell size during leaf growth. Many of the genes regulating cell proliferation are functionally interconnected and can be grouped into regulatory modules. Here, we review our current understanding of six important gene regulatory modules affecting cell proliferation during Arabidopsis leaf growth: ubiquitin receptor DA1–ENHANCER OF DA1 (EOD1), GROWTH REGULATING FACTOR (GRF)–GRF-INTERACTING FACTOR (GIF), SWITCH/SUCROSE NON-FERMENTING (SWI/SNF), gibberellin (GA)–DELLA, KLU, and PEAPOD (PPD). Furthermore, we discuss how post-mitotic cell expansion and these six modules regulating cell proliferation make up the final leaf size.
Jet Propagation in Neutron Star Mergers and GW170817
Authors: Hamidani Hamid , Kiuchi Kenta , Ioka Kunihito 
Published: November 2019

Abstract
The gravitational wave event from the binary neutron star (BNS) merger GW170817 and the following multi-messenger observations present strong evidence for i) merger ejecta expanding with substantial velocities and ii) a relativistic jet which had to propagate through the merger ejecta. The ejecta’s expansion velocity is not negligible for the jet head motion, which is a fundamental difference from the other systems like collapsars and active galactic nuclei. Here we present an analytic model of the jet propagation in an expanding medium. In particular, we notice a new term in the expression of the breakout time and velocity. In parallel, we perform a series of over a hundred 2D numerical simulations of jet propagation. The BNS merger ejecta is prepared based on numerical relativity simulations of a BNS merger with the highest-resolution to date. We show that our analytic results agree with numerical simulations over a wide parameter space. Then we apply our analytic model to GW170817, and obtain two solid constraints on: i) the central engine luminosity as Liso, 0 ∼ 3 × 1049 − 2.5 × 1052 erg s−1, and on ii) the delay time between the merger and engine activation t0 − tm < 1.3 s. The engine power implies that the apparently-faint short gamma-ray burst (sGRB) sGRB 170817A is similar to typical sGRBs if observed on-axis.
Galaxy simulation with the evolution of grain size distribution
Authors: Aoyama Shohei , Hirashita Hiroyuki , Nagamine Kentaro 
Published: November 2019

Abstract
We compute the evolution of interstellar dust in a hydrodynamic simulation of an isolated disc galaxy. We newly implement the evolution of full grain size distribution by sampling 32 grid points on the axis of the grain radius. We solve it consistently with the chemical enrichment and hydrodynamic evolution of the galaxy. This enables us to theoretically investigate spatially resolved evolution of grain size distribution in a galaxy. The grain size distribution evolves from a large-grain-dominated ($\gtrsim 0.1\,\rm{\mu m}$) phase to a small-grain production phase, eventually converging to a power-law-like grain size distribution similar to the so-called MRN distribution. We find that the small-grain abundance is higher in the dense ISM in the early epoch (t ≲ 1 Gyr) because of efficient dust growth by accretion, while coagulation makes the small-grain abundance less enhanced in the dense ISM later. This leads to steeper extinction curves in the dense ISM than in the diffuse ISM in the early phase, while they show the opposite trend later. The radial trend of extinction curves is described by faster evolution in the inner part. We also confirm that the simulation reproduces the observed relation between dust-to-gas ratio and metallicity, and the radial gradients of dust-to-gas ratio and dust-to-metal ratio in nearby galaxies. Since the above change in the grain size distribution occurs in t ∼ 1 Gyr, the age and density dependence of grain size distribution has a significant impact on the extinction curves even at high redshift.
The impact of atmospheric dispersion in the performance of high-resolution spectrographs
Authors: Wehbe B , Cabral A , Martins J H C , Figueira P , Santos N C , Ávila G 
Published: November 2019

ABSTRACT
Differential atmospheric dispersion is a wavelength-dependent effect introduced by the atmosphere. It is one of the instrumental errors that can affect the position of the target as perceived on the sky and its flux distribution. This effect will affect the results of astronomical observations if not corrected by an atmospheric dispersion corrector (ADC). In high-resolution spectrographs, in order to reach a radial velocity (RV) precision of 10 cm s−1, an ADC is expected to return residuals at only a few tens of milliarcseconds (mas). In fact, current state-of-the-art spectrograph conservatively require this level of residuals, although no work has been done to quantify the impact of atmospheric dispersion. In this work, we test the effect of atmospheric dispersion on astronomical observations in general, and in particular on RV precision degradation and flux losses. Our scientific objective was to quantify the amount of residuals needed to fulfil the requirements set on an ADC during the design phase. We found that up to a dispersion of 100 mas, the effect on the RV is negligible. However, on the flux losses, such a dispersion can create a loss of ∼2 per cent at 380 nm, a significant value when efficiency is critical. The requirements set on ADC residuals should take into consideration the atmospheric conditions where the ADC will function, and also all the aspects related with not only the RV precision requirements but also the guiding camera used, the tolerances on the flux loss, and the different melt data of the chosen glasses.