bluuebunny/crossref_metadata_2025_split huggingface dataset:
3-D mechanical analysis of complex reservoirs: a novel mesh-free approach
Authors: van Wees Jan-Diederik , Pluymaekers Maarten , Osinga Sander , Fokker Peter , Van Thienen-Visser Karin , Orlic Bogdan , Wassing Brecht , Hegen Dries , Candela Thibault 
Published: August 2019

SUMMARYBuilding geomechanical models for induced seismicity in complex reservoirs poses a major challenge, in particular if many faults need to be included. We developed a novel way of calculating induced stress changes and associated seismic moment response for structurally complex reservoirs with tens to hundreds of faults. Our specific target was to improve the predictive capability of stress evolution along multiple faults, and to use the calculations to enhance physics-based understanding of the reservoir seismicity. Our methodology deploys a mesh-free numerical and analytical approach for both the stress calculation and the seismic moment calculation. We introduce a high-performance computational method for high-resolution induced Coulomb stress changes along faults, based on a Green's function for the stress response to a nucleus of strain. One key ingredient is the deployment of an octree representation and calculation scheme for the nuclei of strain, based on the topology and spatial variability of the mesh of the reservoir flow model. Once the induced stress changes are evaluated along multiple faults, we calculate potential seismic moment release in a fault system supposing an initial stress field. The capability of the approach, dubbed as MACRIS (Mechanical Analysis of Complex Reservoirs for Induced Seismicity) is proven through comparisons with finite element models. Computational performance and suitability for probabilistic assessment of seismic hazards are demonstrated though the use of the complex, heavily faulted Gullfaks field.
Genome-wide SNP based population structure in European hake reveals the need for harmonizing biological and management units
Authors: Leone Agostino , Álvarez Paula , García Dorleta , Saborido-Rey Fran , Rodriguez-Ezpeleta Naiara 
Published: August 2019

AbstractDespite its economic importance, the population structure of the European hake, Merluccius merluccius, is unresolved, and the species is assessed based on two stocks (northern and southern) separated by the Capbreton Canyon. In order to shed light into the European hake population structure, we used Restriction-site-Associated DNA sequencing (RAD-seq) to discover and genotype thousands of genome-wide single nucleotide polymorphisms in more than a hundred samples. Our population genetic inferences confirm differentiation of Mediterranean and northeast Atlantic locations and reveal management relevant information within the latter. First, hake in the Norwegian Sea is genetically different from that of the rest of the locations under study and, second, samples from the eastern Bay of Biscay and the northwestern Iberian Peninsula are not genetically different. These results imply that samples from the northern stock belong to different genetic populations, and that samples belonging to locations included in the northern and southern stocks are part of a single genetically homogeneous population. Although the definition of the boundary between the northern and southern stocks and the potential need for additional stocks still requires further analyses, the mismatch between biological and management units should already be considered in further assessments of European hake.
Evidentiary Burden of Proof regarding Exclusion Grounds for Asylum: The Case of the Turkish Military Asylum Seekers in Greece
Authors: Kouvaras Ilias 
Published: August 2019

Abstract
Relations between Turkey and Greece were recently put to the test by the case of eight Turkish military personnel who fled their country by helicopter, following an attempted coup d’état on 15 July 2016. They landed in Greek territory, where they claimed political asylum. The legal dimension of the complex asylum procedures turned out to be decisive to the final outcome of the case. The judgment by the Greek Council of State integrates the international perception of onus of proof in its review of the exclusion grounds for applicants for international protection.
A Polynomial Sieve and Sums of Deligne Type
Authors: Bonolis Dante 
Published: August 2019

AbstractLet $f\in \mathbb{Z}[T]$ be any polynomial of degree $d&gt;1$ and $F\in \mathbb{Z}[X_{0},...,X_{n}]$ an irreducible homogeneous polynomial of degree $e&gt;1$ such that the projective hypersurface $V(F)$ is smooth. In this paper we present a new bound for $N(f,F,B):=|\{\textbf{x}\in \mathbb{Z}^{n+1}:\max _{0\leq i\leq n}|x_{i}|\leq B,\exists t\in \mathbb{Z}\textrm{ such that}\ f(t)=F(\textbf{x})\}|.$ To do this, we introduce a generalization of the power sieve [ 14, 28] and we extend two results by Deligne and Katz on estimates for additive and multiplicative characters in many variables.
Sectors, Pollution, and Trade: How Industrial Interests Shape Domestic Positions on Global Climate Agreements
Authors: Genovese Federica 
Published: August 2019

Abstract
It is usually assumed that the cost of abating pollution is the main deterrent of domestic support for international climate cooperation. In particular, some scholars have argued that, due to the burden of pollution abatement, businesses commonly constrain governments, which then take less cooperative positions on global climate agreements. I suggest that this argument needs further qualification: pollution-related costs rarely have unconditional effects on preferences for global climate agreements. Instead, a sector's pollution level is more likely to influence preferences for climate cooperation if mediated by its trade exposure. If pollution is high, firms in high-trade sectors may be less able to absorb climate regulation, and hence they should be more sensitive to climate cooperation. If pollution is low, firms in high-trade sectors may support climate cooperation, because by being more efficient they are more capable of adjusting to regulation. These dynamics should then affect governmental positions on global climate politics. I test my sectoral argument with original data from business statements and national communications at the United Nations climate negotiations. In line with my argument, I find that businesses in trade-open sectors are more likely to oppose climate agreement as their sector's emissions increase. I also find that in countries where high-emission sectors are open to trade, governments have low preferences for climate cooperation. The findings have implications for the domestic politics of environmental agreements and the distributive politics of global public good provision.
Automated meal detection from continuous glucose monitor data through simulation and explanation
Authors: Zheng Min , Ni Baohua , Kleinberg Samantha 
Published: August 2019

AbstractBackgroundArtificial pancreas systems aim to reduce the burden of type 1 diabetes by automating insulin dosing. These systems link a continuous glucose monitor (CGM) and insulin pump with a control algorithm, but require users to announce meals, without which the system can only react to the rise in blood glucose.ObjectiveWe investigate whether CGM data can be used to automatically infer meals in daily life even in the presence of physical activity, which can raise or lower blood glucose.Materials and MethodsWe propose a novel meal detection algorithm that combines simulations with CGM, insulin pump, and heart rate monitor data. When observed and predicted glucose differ, our algorithm uses simulations to test whether a meal may explain this difference. We evaluated our method on simulated data and real-world data from individuals with type 1 diabetes.ResultsIn simulated data, we detected meals earlier and with higher accuracy than was found in prior work (25.7 minutes, 1.2 g error; compared with 48.3 minutes, 17.2 g error). In real-world data, we discovered a larger number of plausible meals than was found in prior work (30 meals, 76.7% accepted; compared with 33 meals, 39.4% accepted).DiscussionPrior research attempted meal detection from CGM, but had delays and lower accuracy in real data or did not allow for physical activity. Our approach can be used to improve insulin dosing in an artificial pancreas and trigger reminders for missed meal boluses.ConclusionsWe demonstrate that meal information can be robustly inferred from CGM and body-worn sensor data, even in challenging environments of daily life.
Debridement of Sulfur Mustard Skin Burns: A Comparison of Three Methods
Authors: Barillo David J , Croutch Claire R , Barillo Anthony R , Thompson Charles K , Roseman Julie , Reid Frances 
Published: August 2019

Abstract
Sulfur mustard burns are characterized by delayed symptoms, slow healing, and recurrence after closure. Incomplete debridement at the level of the basement membrane is the postulated cause. Graham pioneered laser debridement of mustard burns. For field or mass-casualty use, saline wet-to-wet or antibiotic-soak debridement is more practical. In this study, we compared laser, saline, and antibiotic debridement in a porcine model of deep partial-thickness injury. Deep-dermal sulfur mustard burns were produced in 18 anesthetized Gottingen minipigs using 10-μl saturated vapor cap exposure time of 90 minutes. Debridement was started 48 hours postinjury and consisted of a single laser treatment; 5 days of 5% aqueous mafenide acetate wet-to-wet dressings; or 7 to 12 days of saline wet-to-wet dressings. Wounds were treated with daily silver sulfadiazine for 30 days and, then, assessed by histopathology, silver-ion analysis, colorimetry, and evaporimetry. All wounds healed well with no sign of infection. Antibiotic debridement showed no advantage over saline debridement. There were no significant differences between groups for colorimetry or evaporimetry. Histopathology was graded on a mustard-specific scale of 1 to 15 where higher values indicate better healing. Mean histology scores were 13.6 for laser, 13.9 for mafenide, and 14.3 for saline. Saline debridement statistically outperformed laser (P &lt; .05) but required the longest debridement time. Laser debridement had the benefit of requiring a single treatment rather than daily dressing changes, significantly decreasing need for wound care and personnel resources. Development of a ruggedized laser for field use is a countermeasures priority.
Tumor cells educate mesenchymal stromal cells to release chemoprotective and immunomodulatory factors
Authors: Le Naour Augustin , Prat Mélissa , Thibault Benoît , Mével Renaud , Lemaitre Léa , Leray Hélène , Joubert Marie-Véronique , Coulson Kimberley , Golzio Muriel , Lefevre Lise , Mery Eliane , Martinez Alejandra , Ferron Gwénaël , Delord Jean-Pierre , Coste Agnès , Couderc Bettina 
Published: August 2019

AbstractFactors released by surrounding cells such as cancer-associated mesenchymal stromal cells (CA-MSCs) are involved in tumor progression and chemoresistance. In this study, we characterize the mechanisms by which naïve mesenchymal stromal cells (MSCs) can acquire a CA-MSCs phenotype. Ovarian tumor cells trigger the transformation of MSCs to CA-MSCs by expressing pro-tumoral genes implicated in the chemoresistance of cancer cells, resulting in the secretion of high levels of CXC chemokine receptors 1 and 2 (CXCR1/2) ligands such as chemokine (C-X-C motif) ligand 1 (CXCL1), CXCL2, and interleukin 8 (IL-8). CXCR1/2 ligands can also inhibit the immune response against ovarian tumor cells. Indeed, through their released factors, CA-MSCs promote the differentiation of monocytes towards M2 macrophages, which favors tumor progression. When CXCR1/2 receptors are inhibited, these CA-MSC-activated macrophages lose their M2 properties and acquire an anti-tumoral phenotype. Both ex vivo and in vivo, we used a CXCR1/2 inhibitor to sensitize ovarian tumor cells to carboplatin and circumvent the pro-tumoral effects of CA-MSCs. Since high concentrations of CXCR1/2 ligands in patients’ blood are associated with chemoresistance, CXCR1/2 inhibition could be a potential therapeutic strategy to revert carboplatin resistance.
‘More than devastating’—patient experiences and neurological sequelae of Japanese encephalitis§
Authors: Turtle Lance , Easton Ava , Defres Sylviane , Ellul Mark , Bovill Begona , Hoyle Jim , Jung Agam , Lewthwaite Penny , Solomon Tom 
Published: August 2019

Abstract

Background
Japanese encephalitis (JE), caused by the mosquito-borne JE virus, is a vaccine-preventable disease endemic to much of Asia. Travellers from non-endemic areas are susceptible if they travel to a JE endemic area. Although the risk to travellers of JE is low, the consequences may be severe.

Methods
Here, we describe three cases of JE in British travellers occurring in 2014–15. In addition, we report, through interviews with survivors and their families, personal experiences of life after JE.

Results
Three cases of JE were diagnosed in British travellers in 2014/15. One was acquired in Thailand, one in China and one in either Thailand, Laos or Cambodia. All three patients suffered severe, life-threatening illnesses, all were admitted to intensive care units and required medical evacuation back to the UK. One patient suffered a cardiac arrest during the acute stage but made a good recovery. The other two patients remain significantly paralysed and ventilator dependent. All three cases had clear indications for vaccination, and all have been left with life-changing neurological sequelae.

Conclusions
Travel health providers should be aware of the severity of JE, as well as the risk, allowing travellers to make fully informed decisions on JE vaccination.
Galaxy shape measurement with convolutional neural networks
Authors: Ribli Dezső , Dobos László , Csabai István 
Published: August 2019

ABSTRACT
We present our results from training and evaluating a convolutional neural network (CNN) to predict galaxy shapes from wide-field survey images of the first data release of the Dark Energy Survey (DES DR1). We use conventional shape measurements as ‘ground truth’ from an overlapping, deeper survey with less sky coverage, the Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS). We demonstrate that CNN predictions from single band DES images reproduce the results of CFHTLenS at bright magnitudes and show higher correlation with CFHTLenS at fainter magnitudes than maximum likelihood model fitting estimates in the DES Y1 im3shape catalogue. Prediction of shape parameters with a CNN is also extremely fast, it takes only 0.2 ms per galaxy, improving more than 4 orders of magnitudes over forward model fitting. The CNN can also accurately predict shapes when using multiple images of the same galaxy, even in different colour bands, with no additional computational overhead. The CNN is again more precise for faint objects, and the advantage of the CNN is more pronounced for blue galaxies than red ones when compared to the DES Y1 metacalibration catalogue, which fits a single Gaussian profile using riz band images. We demonstrate that CNN shape predictions within the metacalibration self-calibrating framework yield shear estimates with negligible multiplicative bias, m < 10−3, and no significant point spread function (PSF) leakage. Our proposed set-up is applicable to current and next-generation weak lensing surveys where higher quality ‘ground truth’ shapes can be measured in dedicated deep fields.
Modelling the light curve of ‘Oumuamua: evidence for torque and disc-like shape
Authors: Mashchenko Sergey 
Published: August 2019

ABSTRACT
We present the first attempt to fit the light curve of the interstellar visitor ‘Oumuamua using a physical model that includes optional torque. We consider both conventional (Lommel–Seeliger triaxial ellipsoid) and alternative (‘black-and-white ball’, ‘solar sail’) brightness models. With all the brightness models, some torque is required to explain the timings of the most conspicuous features – deep minima – of the asteroid’s light curve. Our best-fitting models are a thin disc (aspect ratio 1:6) and a thin cigar (aspect ratio 1:8) that are very close to being axially symmetric. Both models are tumbling and require some torque that has the same amplitude in relation to ‘Oumuamua’s linear non-gravitational acceleration as in Solar system comets whose dynamics is affected by outgassing. Assuming random orientation of the angular momentum vector, we compute probabilities for our best-fitting models. We show that cigar-shaped models suffer from a fine-tuning problem and have only 16 per cent probability to produce light-curve minima as deep as the ones present in ‘Oumuamua’s light curve. Disc-shaped models, on the other hand, are very likely (at 91 per cent) to produce minima of the required depth. From our analysis, the most likely model for ‘Oumuamua is a thin disc (slab) experiencing moderate torque from outgassing.
Astrophysical implications of double-layer torsional oscillations in a neutron star crust as a lasagna sandwich
Authors: Sotani Hajime , Iida Kei , Oyamatsu Kazuhiro 
Published: August 2019

Abstract
In the crust of a neutron star, global torsional oscillations could occur in two elastic layers. The outer and inner layers are composed of spherical and cylindrical nuclei and of cylindrical holes (tubes) and spherical holes (bubbles), respectively, while between these two layers, a phase of slab-like (lasagna) nuclei with vanishingly small elasticity is sandwiched. In this work, we update systematic calculations of the eigenfrequencies of the fundamental oscillations in the inner layer by newly allowing for the presence of tubes. We find that the frequencies still depend strongly on the slope parameter of the nuclear symmetry energy, L, while being almost independent of the incompressibility of symmetric nuclear matter. We also find that the fundamental frequencies in the inner layer can become smaller than those in the outer layer because the tube phase has a relatively small shear modulus and at the same time dominates the inner layer in thickness. As a result, we can successfully explain not only the quasi-periodic oscillations originally discovered in the observed X-ray afterglow of the giant flare of SGR 1806–20 but also many others recently found by a Bayesian procedure.
Sensitivity of low-degree solar p modes to active and ephemeral regions: frequency shifts back to the Maunder minimum
Authors: Chaplin William J , Howe Rachel , Basu Sarbani , Elsworth Yvonne , Milbourne Timothy W , Haywood Raphaëlle D , Davies Guy R , Hale Steven J , Miglio Andrea , Ross Eddie 
Published: August 2019

ABSTRACT
We explore the sensitivity of the frequencies of low-degree solar p modes to near-surface magnetic flux on different spatial scales and strengths, specifically to active regions with strong magnetic fields and ephemeral regions with weak magnetic fields. We also use model reconstructions from the literature to calculate average frequency offsets back to the end of the Maunder minimum. We find that the p-mode frequencies are at least 3 times less sensitive (at 95  per cent confidence) to the ephemeral-region field than they are to the active-region field. Frequency shifts between activity cycle minima and maxima are controlled predominantly by the change of active region flux. Frequency shifts at cycle minima (with respect to a magnetically quiet Sun) are determined largely by the ephemeral flux, and are estimated to have been $0.1\, \rm \mu Hz$ or less over the last few minima. We conclude that at epochs of cycle minimum, frequency shifts due to near-surface magnetic activity are negligible compared to the offsets between observed and model frequencies that arise from inaccurate modelling of the near-surface layers (the so-called surface term). The implication is that this will be the case for other Sun-like stars with similar activity, which has implications for asteroseismic modelling of stars.
Dasypus kappleri (Cingulata: Dasypodidae)
Authors: Aya-Cuero Carlos , Chacón-Pacheco Julio , Anacleto Teresa Cristina S 
Published: August 2019

AbstractDasypus kappleri Krauss, 1862, commonly known as greater long-nosed armadillo, is the second largest extant armadillo and readily distinguishable by the prominent spurs on the hind legs. It is diurnal-nocturnal, solitary, and insectivorous. It is a semi-fossorial species ranging east of the Andes across the central lowlands of South America. It occupies a wide range of habitats including rainforest, riparian forest, and grassland. D. kappleri is listed as “Least Concern” by the International Union for Conservation of Nature and Natural Resources in light of its wide distribution, which presumedly contains robust populations.
EANO guideline on the diagnosis and treatment of vestibular schwannoma
Authors: Goldbrunner Roland , Weller Michael , Regis Jean , Lund-Johansen Morten , Stavrinou Pantelis , Reuss David , Evans D Gareth , Lefranc Florence , Sallabanda Kita , Falini Andrea , Axon Patrick , Sterkers Olivier , Fariselli Laura , Wick Wolfgang , Tonn Joerg-Christian 
Published: August 2019

AbstractThe level of evidence to provide treatment recommendations for vestibular schwannoma is low compared with other intracranial neoplasms. Therefore, the vestibular schwannoma task force of the European Association of Neuro-Oncology assessed the data available in the literature and composed a set of recommendations for health care professionals. The radiological diagnosis of vestibular schwannoma is made by magnetic resonance imaging. Histological verification of the diagnosis is not always required. Current treatment options include observation, surgical resection, fractionated radiotherapy, and radiosurgery. The choice of treatment depends on clinical presentation, tumor size, and expertise of the treating center. In small tumors, observation has to be weighed against radiosurgery, in large tumors surgical decompression is mandatory, potentially followed by fractionated radiotherapy or radiosurgery. Except for bevacizumab in neurofibromatosis type 2, there is no role for pharmacotherapy.
Nobeyama 45 m mapping observations toward Orion A. I. Molecular outflows
Authors: Tanabe Yoshihiro , Nakamura Fumitaka , Tsukagoshi Takashi , Shimajiri Yoshito , Ishii Shun , Kawabe Ryohei , Feddersen Jesse R , Kong Shuo , Arce Hector G , Bally John , Carpenter John M , Momose Munetake 
Published: August 2019

Abstract
We conducted an exploration of 12CO molecular outflows in the Orion A giant molecular cloud to investigate outflow feedback using 12CO ($J = 1\!-\!0$) and ${}^{13}$CO ($J = 1\!-\!0$) data obtained by the Nobeyama 45 m telescope. In the region excluding the center of OMC 1, we identified 44 12CO (including 17 newly detected) outflows based on the unbiased and systematic procedure of automatically determining the velocity range of the outflows and separating the cloud and outflow components. The optical depth of the 12CO emission in the detected outflows is estimated to be approximately 5. The total momentum and energy of the outflows, corrected for optical depth, are estimated to be $1.6 \times 10^{2}\, M_{\odot }\:$km$\:$s$^{-1}$ and $1.5\times 10^{46}\:$erg, respectively. The momentum and energy ejection rate of the outflows are estimated to be 36% and 235% of the momentum and energy dissipation rates of the cloud turbulence, respectively. Furthermore, the ejection rates of the outflows are comparable to those of the expanding molecular shells estimated by Feddersen et al. (2018, ApJ, 862, 121). Cloud turbulence cannot be sustained by the outflows and shells unless the energy conversion efficiency is as high as 20%.