Pregnancy Control in Patients with Systemic Lupus Erythematosus and Antiphospholipid Syndrome. Part 1: Infertility, Ovarian Preservation and Preconception Assessment. Consensus Document of the Spanish Society of Gynaecology and Obstetrics (SEGO), the Spanish Society of Internal Medicine (SEMI) and the Spanish Society of Rheumatology (SER)

Objetivo: El embarazo y el puerperio se consideran una situación de riesgo en mujeres con lupus eritematoso sistémico (LES) y síndrome antifosfolípido (SAF). Es esencial que especialistas en enfermedades autoinmunes y en embarazo de alto riesgo intervengan en su seguimiento de forma coordinada. La Sociedad Española de Ginecología y Obstetricia, la Sociedad Española de Medicina Interna, y la Sociedad Española de Reumatología han constituido un grupo de trabajo paritario para la elaboración de 3 documentos de consenso. Métodos: Las fases del trabajo fueron: distribución del trabajo en grupos correspondientes a los 3 períodos relacionados con la gestación, identificación de áreas clave, revisión de la literatura y formulación de recomendaciones. Resultados: En este primer documento se incluyen las primeras 48 recomendaciones que tratan aspectos relacionados con la infertilidad, la necesidad y los tratamientos de preservación gonadal y la valoración preconcepcional. Conclusiones: Estas recomendaciones multidisciplinares se consideran herramientas en la toma de decisiones para los clínicos involucrados en la asistencia a pacientes con LES/SAF durante el embarazo

Affective Pictures and the Open Library of Affective Foods (OLAF): Tools to Investigate Emotions toward Food in Adults

The authors wish to thank Jaime Vila for comments on earlier versions of the manuscript and Oscar Cervilla, Irene Forte, Alba Garrido, Laura Krutman, Lisa Mazzoni, and Teresa Mena for help with data collection and reduction.Recently, several sets of standardized food pictures have been created, supplying both food images and their subjective evaluations. However, to date only the OLAF (Open Library of Affective Foods), a set of food images and ratings we developed in adolescents, has the specific purpose of studying emotions toward food. Moreover, some researchers have argued that food evaluations are not valid across individuals and groups, unless feelings toward food cues are compared with feelings toward intense experiences unrelated to food, that serve as benchmarks. Therefore the OLAF presented here, comprising a set of original food images and a group of standardized highly emotional pictures, is intended to provide valid between-group judgments in adults. Emotional images (erotica, mutilations, and neutrals from the International Affective Picture System/IAPS) additionally ensure that the affective ratings are consistent with emotion research. The OLAF depicts high-calorie sweet and savory foods and low-calorie fruits and vegetables, portraying foods within natural scenes matching the IAPS features. An adult sample evaluated both food and affective pictures in terms of pleasure, arousal, dominance, and food craving, following standardized affective rating procedures. The affective ratings for the emotional pictures corroborated previous findings, thus confirming the reliability of evaluations for the food images. Among the OLAF images, high-calorie sweet and savory foods elicited the greatest pleasure, although they elicited, as expected, less arousal than erotica. The observed patterns were consistent with research on emotions and confirmed the reliability of OLAF evaluations. The OLAF and affective pictures constitute a sound methodology to investigate emotions toward food within a wider motivational framework. The OLAF is freely accessible at digibug.ugr.es.Yeshttp://www.plosone.org/static/editorial#pee

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between data and simulation

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-years (kt-MW-yr). The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 3σ (5σ) level, with a 66 (100) kt-MW-yr far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters. We also show that DUNE has the potential to make a robust measurement of CPV at a 3σ level with a 100 kt-MW-yr exposure for the maximally CP-violating values \delta_{\rm CP}} = \pm\pi/2. Additionally, the dependence of DUNE's sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest

Quantitative Profiling of Volatile and Phenolic Substances in the Wine Vernaccia di Serrapetrona by Development of an HS-SPME-GC-FID/MS Method and HPLC-MS

A headspace solid-phase microextraction coupled to gas chromatography with mass spectrometry and flame ionization detection (HS-SPME-GC-MS/FID) method has been developed for quantifying the main volatiles of the Italian sparkling red wine Vernaccia di Serrapetrona, leading to establish that the divinylbenzene/carboxen/polydimethylsiloxanecoated (gray) fiber, an equilibration time of 15 min, and an extraction time of 15 min at a temperature of 35 °C are the conditions representing the best compromise in terms of sensitivity and time expense, to carry out the analyses. Among the volatiles quantified, 2-phenylethanol, 3-methylbutyl acetate, and ethyl esters levels resulted to be above their odor thresholds, thus being probably responsible for the aroma of this wine with their positive attributes. Phenolic compounds, namely gallic acid, p-coumaric acid, caffeic acid, (+)-catechin, and (+)-epicatechin, were also quantified using high-performance liquid chromatography-MS, thus obtaining an overall characterization of molecules fundamental for both the sensory and the healthy characteristics of the wine. The total phenolic content was found to be in the range of 19.25–61.67 mg l−1 with the most abundant compound being gallic acid (7.44–25.78 mg l−1). Main differences in volatile and phenolic compounds between samples were discussed and analyzed by chemometric techniques as principal component analysis