bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-cost endoscopic third ventriculostomy simulator with mimetic endoscope
Authors: Garling Richard Justin , Jin Xin , Yang Jianzhong , Khasawneh Ahmad H. , Harris Carolyn Anne 
Published: May 2018

OBJECTIVEHydrocephalus affects approximately 1 in 500 people in the US, yet ventricular shunting, the gold standard of treatment, has a nearly 85% failure rate. Endoscopic third ventriculostomy (ETV) is an alternative surgical approach for a specific subset of hydrocephalic patients, but can be limited by the inability of neurosurgical residents to practice prior to patient contact. The goal of this study was to create an affordable ETV model and endoscope for resident training.METHODSOpen-source software was used to isolate the skull and brain from the CT and MR images of a 2-year-old boy with hydrocephalus. A 3D printer created the skull and a 3D mold of the brain. A mixture of silicone and silicone tactile mutator was used to cast the brain mold prior to subsequent compression and shearing modulus testing. A mimetic endoscope was then created from basic supplies and a 3D printed frame. A small cohort of neurosurgical residents and attending physicians evaluated the ETV simulator with mimetic endoscope.RESULTSThe authors successfully created a mimetic endoscope and ETV simulator. After compression and shearing modulus testing, a silicone/Slacker ratio between 10:6 and 10:7 was found to be similar to that of human brain parenchyma. Eighty-seven percent of participants strongly agreed that the simulator was useful for resident training, and 93% strongly agreed that the simulator helped them understand how to orient themselves with the endoscope.CONCLUSIONSThe authors created an affordable (US$123, excluding 3D printer), easy-to-use ETV simulator with endoscope. Previous models have required expensive software and costly operative endoscopes that may not be available to most residents. Instead, this attempt takes advantage of open-source software for the manipulation and fabrication of a patient-specific mold. This model can assist with resident development, allowing them to safely practice use of the endoscope in ETV.
New pressure cells for membrane layers and systems in solutions up to 100°C
Authors: Peters Judith , Golub Maksym , Demé Bruno , Gonthier Julien , Maurice James , Payre Claude , Sadykov Ravil , Lelièvre-Berna Eddy 
Published: May 2018

In reply to the increasing request of structural and molecular dynamics data taken on biological samples at both high temperature and high pressure by neutron scattering techniques, we have developed a new generation of high pressure cells with the following characteristics: (1) a flat geometry to better exploit the neutron beam’s cross section, (2) utilisable in the pressure range between 0 and 600 MPa and up to 100°C, (3) adapted for studies by coherent and incoherent neutron scattering, and (4) compatible with all types of neutron diffractometers and spectrometers at the Institut Laue-Langevin in Grenoble, France. Such high pressure cells permit to explore domains of pressure [Formula: see text] and temperature [Formula: see text] inaccessible so far, to establish [Formula: see text] diagrams and determine phase transitions. They are particularly adapted to the investigation of biological systems living under extreme conditions, as for instance extremophiles living near hot vents in the deep sea, or the response of biomolecules to extreme loads.
Simulated medication errors: A means of evaluating healthcare professionals’ knowledge and understanding of medication safety
Authors: Ramadaniati Hesty Utami , Hughes Jeffery David , Lee Ya Ping , Emmerton Lynne Maree 
Published: May 2018

OBJECTIVE: To determine multi-disciplinary perceptions of the clinical significance of medication errors (MEs), the responsible health professional(s), the contributing factors and potential preventive strategies. METHODS: The five simulated ME cases represented errors from five wards at a children’s hospital in Australia. Pre-determined answers for each case were developed through consensus among the researchers. The root cause analysis (RCA) was undertaken via a questionnaire disseminated to physicians, nurses and pharmacists at the study hospital to seek their opinions on the ME cases. Agreement model between the participants and pre-determined responses regarding the contributing factors was conducted using general estimating equation (GEE) analysis. RESULTS: Of the 111 RCA questionnaires distributed, 25 were returned. The majority (93%) of respondents rated the significance of the MEs as either ‘moderate’ or ‘life-threatening’. Furthermore, they correctly identified two contributing factors relevant to all cases: dismissal of policies/procedures or guidelines (90%) and human resources issues (87%). GEE analysis revealed varied agreement patterns across the contributing factors. Suggested prevention strategies focused on policy and procedures, staffing and supervision, and communication. CONCLUSION: Simulated case studies had potential use to seek front-line healthcare professionals’ understanding of the clinical significance and contributing factors to MEs, along with preventive measures.
SSRI and SNRI withdrawal symptoms reported on an internet forum
Authors: Stockmann Tom , Odegbaro Dolapo , Timimi Sami , Moncrieff Joanna 
Published: May 2018

BACKGROUND: Antidepressant withdrawal symptoms are well-recognised, but their potential duration remains uncertain. OBJECTIVE: We aimed to describe the characteristics of withdrawal associated with two popular classes of antidepressants, including duration. METHODS: We analysed the content of a sample of posts on an antidepressant withdrawal website. We compared the characteristics of withdrawal associated with SSRIs and SNRIs, including time of onset, duration and nature of symptoms. RESULTS: 110 posts about SSRI withdrawal, and 63 concerning SNRI withdrawal, were analysed. The mean duration of withdrawal symptoms was significantly longer with SSRIs than SNRIs: 90.5 weeks (standard deviation, SD, 150.0) and 50.8 weeks (SD 76.0) respectively; p = 0.043). Neurological symptoms, such as ‘brain zaps,’ were more common among SNRI users ( p = 0.023). Psychosexual/genitourinary symptoms may be more common among SSRI users ( p = 0.054). LIMITATIONS: The website aims to help people with antidepressant withdrawal, and is therefore likely to attract people who have difficulties. Length of prior use of antidepressants was long, with a mean of 252.2 weeks (SD 250.8). CONCLUSIONS: People accessing antidepressant withdrawal websites report experiencing protracted withdrawal symptoms. There are some differences in the characteristics of withdrawal associated with different classes of antidepressants.
The effect of sitting posture on the loads at cervico-thoracic and lumbosacral joints
Authors: Kwon Yuri , Kim Ji-Won , Heo Jae-Hoon , Jeon Hyeong-Min , Choi Eui-Bum , Eom Gwang-Moon 
Published: May 2018

BACKGROUND: The sitting in an awkward posture for a prolonged time may lead to spinal or musculoskeletal disease. It is important to investigate the joint loads at spine while sitting. OBJECTIVE: The purpose of this study was to investigate the joint moment and antero-posterior (AP) reaction force at cervico-thoracic and lumbosacral joint for various sitting postures. METHODS: Twenty healthy males participated in this study. Six sitting postures were defined from three spinal curvatures (slump, flat, and lordosis) and two arm postures (arms-on-chest and arms-forward). Kinematic and kinetic data were measured in six sitting postures from which joint moment and AP reaction force were calculated by inverse dynamics. RESULTS: In the cervico-thoracic joint, joint moment and AP reaction force were greater in slump than the flat and lordosis postures ([Formula: see text] 0.001) and also in arms-forward posture compared to arms-on-chest posture. In the lumbosacral joint, joint moment and AP reaction force were greater in slump than flat and lordotic posture ([Formula: see text] 0.001) but there was no difference between different arm postures. The joint loads (moment and AP reaction force) at the cervico-thoriacic joint were closely related to the head flexion angle ([Formula: see text] 0.86) while those at the lumbosacral joint were correlated to the trunk flexion angle ([Formula: see text] 0.77). In slump posture, the joint moments were close to or over the extreme of the daily life such as sit-to-stand and walking. Consequently, if the slump is continued for a long time, it may cause pain and diseases at the cervico-thoracic and lumbosacral joints. CONCLUSIONS: The results of the study indicated that the lordosis or flat would be better spinal postures. Also, keeping arms close to body would be desirable to reduce joint loads.
Salvaging the Mother Tongue in Exile
Authors: Barrera Tomás Espino 
Published: May 2018

The dramatic increase in the number of exiles and refugees in the past 100 years has generated a substantial amount of literature written in a second language as well as a heightened sensibility towards the progressive loss of fluency in the mother tongue. Confronted by what modern linguistics has termed ‘first-language attrition’, the writings of numerous exilic translingual authors exhibit a deep sense of trauma which is often expressed through metaphors of illness and death. At the same time, most of these writers make a deliberate effort to preserve what is left from the mother tongue by attempting to increase their exposure to poems, dictionaries or native speakers of the ‘dying’ language. The present paper examines a range of attitudes towards translingualism and first language attrition through the testimonies of several exilic authors and thinkers from different countries (Vladimir Nabokov's Speak, Memory, Hannah Arendt's interviews, Jorge Semprún's Quel beau dimanche! and Autobiografía de Federico Sánchez, and Eva Hoffman's Lost in Translation, among others). Special attention will be paid to the historical frameworks that encourage most of their salvaging operations by infusing the mother tongue with categories of affect and kinship.
Smooth H i Low Column Density Outskirts in Nearby Galaxies
Authors: Ianjamasimanana R. , Walter Fabian , de Blok W. J. G. , Heald George H. , Brinks Elias 
Published: May 2018

Abstract
The low column density gas at the outskirts of galaxies as traced by the 21 cm hydrogen line emission (H i) represents the interface between galaxies and the intergalactic medium, i.e., where galaxies are believed to get their supply of gas to fuel future episodes of star formation. Photoionization models predict a break in the radial profiles of H i at a column density of ∼5 × 1019 cm−2 due to the lack of self-shielding against extragalactic ionizing photons. To investigate the prevalence of such breaks in galactic disks and to characterize what determines the potential edge of the H i disks, we study the azimuthally averaged H i column density profiles of 17 nearby galaxies from the H i Nearby Galaxy Survey and supplemented in two cases with published Hydrogen Accretion in LOcal GAlaxieS data. To detect potential faint H i emission that would otherwise be undetected using conventional moment map analysis, we line up individual profiles to the same reference velocity and average them azimuthally to derive stacked radial profiles. To do so, we use model velocity fields created from a simple extrapolation of the rotation curves to align the profiles in velocity at radii beyond the extent probed with the sensitivity of traditional integrated H i maps. With this method, we improve our sensitivity to outer-disk H i emission by up to an order of magnitude. Except for a few disturbed galaxies, none show evidence of a sudden change in the slope of the H i radial profiles: the alleged signature of ionization by the extragalactic background.
The Black Hole in the Most Massive Ultracompact Dwarf Galaxy M59-UCD3
Authors: Ahn Christopher P. , Seth Anil C. , Cappellari Michele , Krajnović Davor , Strader Jay , Voggel Karina T. , Walsh Jonelle L. , Bahramian Arash , Baumgardt Holger , Brodie Jean , Chilingarian Igor , Chomiuk Laura , den Brok Mark , Frank Matthias , Hilker Michael , McDermid Richard M. , Mieske Steffen , Neumayer Nadine , Nguyen Dieu D. , Pechetti Renuka , Romanowsky Aaron J. , Spitler Lee 
Published: May 2018

Abstract
We examine the internal properties of the most massive ultracompact dwarf galaxy (UCD), M59-UCD3, by combining adaptive-optics-assisted near-IR integral field spectroscopy from Gemini/NIFS and Hubble Space Telescope (HST) imaging. We use the multiband HST imaging to create a mass model that suggests and accounts for the presence of multiple stellar populations and structural components. We combine these mass models with kinematics measurements from Gemini/NIFS to find a best-fit stellar mass-to-light ratio (M/L) and black hole (BH) mass using Jeans anisotropic models (JAMs), axisymmetric Schwarzschild models, and triaxial Schwarzschild models. The best-fit parameters in the JAM and axisymmetric Schwarzschild models have BHs between 2.5 and 5.9 million solar masses. The triaxial Schwarzschild models point toward a similar BH mass but show a minimum χ
2 at a BH mass of ∼0. Models with a BH in all three techniques provide better fits to the central V
rms profiles, and thus we estimate the BH mass to be

4.2

−
1.7

+
2.1

×

10

6

M
⊙ (estimated 1σ uncertainties). We also present deep radio imaging of M59-UCD3 and two other UCDs in Virgo with dynamical BH mass measurements, and we compare these to X-ray measurements to check for consistency with the fundamental plane of BH accretion. We detect faint radio emission in M59cO but find only upper limits for M60-UCD1 and M59-UCD3 despite X-ray detections in both these sources. The BH mass and nuclear light profile of M59-UCD3 suggest that it is the tidally stripped remnant of a ∼109–1010
M
⊙ galaxy.
Chromospheric Response during the Precursor and the Main Phase of a B6.4 Flare on 2005 August 20
Authors: Awasthi Arun Kumar , Rudawy Pawel , Falewicz Robert , Berlicki Arkadiusz , Liu Rui 
Published: May 2018

Abstract
Solar flare precursors depict a constrained rate of energy release, in contrast to the imminent rapid energy release, which calls for a different regime of plasma processes to be at play. Due to the subtle emission during the precursor phase, its diagnostics remain delusive, revealing either nonthermal electrons (NTEs) or thermal conduction to be the driver. In this regard, we investigate the chromospheric response during various phases of a B6.4 flare on 2005 August 20. Spatiotemporal investigation of flare ribbon enhancement during the precursor phase, carried out using spectra images recorded in several wavelength positions on the Hα line profile, revealed its delayed response (180 s) compared to the X-ray emission, as well as a sequential increment in the width of the line profile, which are indicative of a slow heating process. However, the energy contained in the Hα emission during the precursor phase can reach as high as 80% of that estimated during the main phase. Additionally, the plasma hydrodynamics during the precursor phase, resulting from the application of a single-loop one-dimensional model, revealed the presence of a power-law extension in the model-generated X-ray spectra, with a flux lower than the RHESSI background. Therefore, our multiwavelength diagnostics and hydrodynamical modeling of the precursor emission indicates the role of a two-stage process. First, reconnection-triggered NTEs, although too small in flux to overcome the observational constraints, thermalize in the upper chromosphere. This leads to the generation of a slow conduction front, which causes plasma heating during the precursor phase.
MOSFiT: Modular Open Source Fitter for Transients
Authors: Guillochon James , Nicholl Matt , Villar V. Ashley , Mockler Brenna , Narayan Gautham , Mandel Kaisey S. , Berger Edo , Williams Peter K. G. 
Published: May 2018

AbstractMuch of the progress made in time-domain astronomy is accomplished by relating observational multiwavelength time-series data to models derived from our understanding of physical laws. This goal is typically accomplished by dividing the task in two: collecting data (observing), and constructing models to represent that data (theorizing). Owing to the natural tendency for specialization, a disconnect can develop between the best available theories and the best available data, potentially delaying advances in our understanding new classes of transients. We introduceMOSFiT: the Modular Open Source Fitter for Transients, aPython-based package that downloads transient data sets from open online catalogs (e.g., the Open Supernova Catalog), generates Monte Carlo ensembles of semi-analytical light-curve fits to those data sets and their associated Bayesian parameter posteriors, and optionally delivers the fitting results back to those same catalogs to make them available to the rest of the community.MOSFiTis designed to help bridge the gap between observations and theory in time-domain astronomy; in addition to making the application of existing models and creation of new models as simple as possible,MOSFiTyields statistically robust predictions for transient characteristics, with a standard output format that includes all the setup information necessary to reproduce a given result. As large-scale surveys such as that conducted with the Large Synoptic Survey Telescope (LSST), discover entirely new classes of transients, tools such asMOSFiTwill be critical for enabling rapid comparison of models against data in statistically consistent, reproducible, and scientifically beneficial ways.
Reducing and Analyzing the PHAT Survey with the Cloud
Authors: Williams Benjamin F. , Olsen Knut , Khan Rubab , Pirone Daniel , Rosema Keith 
Published: May 2018

Abstract
We discuss the technical challenges we faced and the techniques we used to overcome them when reducing the Panchromatic Hubble Andromeda Treasury (PHAT) photometric data set on the Amazon Elastic Compute Cloud (EC2). We first describe the architecture of our photometry pipeline, which we found particularly efficient for reducing the data in multiple ways for different purposes. We then describe the features of EC2 that make this architecture both efficient to use and challenging to implement. We describe the techniques we adopted to process our data, and suggest ways these techniques may be improved for those interested in trying such reductions in the future. Finally, we summarize the output photometry data products, which are now hosted publicly in two places in two formats. They are in simple fits tables in the high-level science products on MAST, and on a queryable database available through the NOAO Data Lab.
Schroedinger’s Code: A Preliminary Study on Research Source Code Availability and Link Persistence in Astrophysics
Authors: Allen Alice , Teuben Peter J. , Ryan P. Wesley 
Published: May 2018

Abstract
We examined software usage in a sample set of astrophysics research articles published in 2015 and searched for the source codes for the software mentioned in these research papers. We categorized the software to indicate whether the source code is available for download and whether there are restrictions to accessing it, and if the source code is not available, whether some other form of the software, such as a binary, is. We also extracted hyperlinks from one journal’s 2015 research articles, as links in articles can serve as an acknowledgment of software use and lead to the data used in the research, and tested them to determine which of these URLs are still accessible. For our sample of 715 software instances in the 166 articles we examined, we were able to categorize 418 records as according to whether source code was available and found that 285 unique codes were used, 58% of which offered the source code for download. Of the 2558 hyperlinks extracted from 1669 research articles, at best, 90% of them were available over our testing period.
A Model for Data Citation in Astronomical Research Using Digital Object Identifiers (DOIs)
Authors: Novacescu Jenny , Peek Joshua E. G. , Weissman Sarah , Fleming Scott W. , Levay Karen , Fraser Elizabeth 
Published: May 2018

Abstract
Standardizing and incentivizing the use of digital object identifiers (DOIs) to aggregate and identify both data analyzed and data generated by a research project will advance the field of astronomy to match best practices in other research fields like geoscience and medicine. An increase in the use of DOIs will prepare the discipline for changing expectations among funding agencies and publishers, who increasingly expect accurate and thorough data citation to accompany scientific outputs. The use of DOIs ensures a robust, sustainable, and interoperable approach to data citation in which due credit is given to the researchers and institutions who produce and maintain the primary data. We describe in this work the advantages of DOIs for data citation and best practices for integrating a DOI service in an astronomical archive. We report on a pilot project carried out in collaboration with AAS journals. During the course of the 1.5-year long pilot, over 75% of submitting authors opted to use the integrated DOI service to clearly identify data analyzed during their research project when prompted at the time of paper submission.
Coronal Mass Ejection Data Clustering and Visualization of Decision Trees
Authors: Ma Ruizhe , Angryk Rafal A. , Riley Pete , Boubrahimi Soukaina Filali 
Published: May 2018

Abstract
Coronal mass ejections (CMEs) can be categorized as either “magnetic clouds” (MCs) or non-MCs. Features such as a large magnetic field, low plasma-beta, and low proton temperature suggest that a CME event is also an MC event; however, so far there is neither a definitive method nor an automatic process to distinguish the two. Human labeling is time-consuming, and results can fluctuate owing to the imprecise definition of such events. In this study, we approach the problem of MC and non-MC distinction from a time series data analysis perspective and show how clustering can shed some light on this problem. Although many algorithms exist for traditional data clustering in the Euclidean space, they are not well suited for time series data. Problems such as inadequate distance measure, inaccurate cluster center description, and lack of intuitive cluster representations need to be addressed for effective time series clustering. Our data analysis in this work is twofold: clustering and visualization. For clustering we compared the results from the popular hierarchical agglomerative clustering technique to a distance density clustering heuristic we developed previously for time series data clustering. In both cases, dynamic time warping will be used for similarity measure. For classification as well as visualization, we use decision trees to aggregate single-dimensional clustering results to form a multidimensional time series decision tree, with averaged time series to present each decision. In this study, we achieved modest accuracy and, more importantly, an intuitive interpretation of how different parameters contribute to an MC event.