14 research outputs found
The Trans-Hellas crossing - An exercise in Martian expedition planning
The Hellas Basis is an impact-formed deep basin in the Southern Hemisphere of Mars. We undertook a limited planning exercise for a human Trans-Hellas expedition that would traverse the basin from West to East. The authors of this paper divided into three teams. The Science Group was set the task of defining science goals for a Trans-Hellas Crossing. The Logistics Group was set the task of considering what transport and accommodation the team would use during the expedition and the Resource Group was set the task of defining resource use and allocation during the traverse. We present the main conclusions of this short study and show that the Hellas Basin should be considered a high priority science target for future human expeditions. We demonstrate the effectiveness of Martian expedition planning using a small team with diverse expertise
The Trans-Hellas expedition - An exercise in Martian expedition planning
The Hellas Basis is an impact-formed deep basin in the Southern Hemisphere of Mars. We undertook a planning exercise for a human Trans-Hellas expedition that would traverse the basin from West to East. The authors of this paper divided into three teams. The Science Group was set the task of defining science goals for a Trans-Hellas Crossing. The Logistics Group was set the task of considering what transport and accommodation the team would use during the expedition and the Resources Group was set the task of defining resource use and allocation during the traverse. We present the main conclusions of this short study and show that the Hellas Basin should be considered a high priority science target for future human expeditions. We demonstrate the effectiveness of Martian expedition planning using a small team with diverse expertise
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers
Spaces of Surveillant Simulation: New Technologies, Digital Representations, and Material Geographies
Multisession Cognitive Bias Modification Targeting Multiple Biases in Adolescents with Elevated Social Anxiety
Research studies applying cognitive bias modification of attention (CBM-A) and interpretations (CBM-I) training to reduce adolescent anxiety by targeting associated cognitive biases have found mixed results. This study presents a new multi-session, combined bias CBM package, which uses a mix of training techniques and stimuli to enhance user-engagement. We present preliminary data on its viability, acceptability and effectiveness on reducing symptoms and biases using an A–B case series design. 19 adolescents with elevated social anxiety reported on their social anxiety, real-life social behaviours, general anxiety, depression, and cognitive biases at pre/post time-points during a 2-week baseline phase and a 2-week intervention phase. Retention rate was high. Adolescents also reported finding the CBM training helpful, particularly CBM-I. Greater reductions in social anxiety, negative social behaviour, and general anxiety and depression, characterised the intervention but not baseline phase. There was a significant correlation between interpretation bias change and social anxiety symptom change. Our enhanced multi-session CBM programme delivered in a school-setting appeared viable and acceptable. Training-associated improvements in social anxiety will require further verification in a study with an active control condition/group.Medical Research Counci
Indivisa : boletÃn de estudios e investigación
Proyecto sobre la aplicación de un plan de comunicación en un centro escolar, que representa múltiples ventajas para las personas que trabajan en él o reciben sus servicios: alivia el ambiente interno, mejora el orden y la organización, evita la repetición de tareas, previene el rumor y las falsas interpretaciones, consigue un servicio más eficaz y amable y genera compromiso y responsabilidad. Se ha realizado para un colegio en concreto, pero puede servir de inspiración para otros centros escolares, aunque adaptándolo al Proyecto Educativo de cada uno, asà como al contexto socio-cultural en que se sitúe .Biblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San AgustÃn, 5 - 3 Planta; 28014 Madrid; Tel. +34917748000; [email protected]
Direct virtual photon production in Au+Au collisions at √sNN = 200 GeV
We report the direct virtual photon invariant yields in the transverse momentum ranges 1 6 GeV/c the production follows T A A scaling. Model calculations with contributions from thermal radiation and initial hard parton scattering are consistent ithin uncertainties with the direct virtual photon invariant yield
Energy dependence of J/ψ production in Au+Au collisions at √sNN=39,62.4 and 200GeV
The inclusive J/ψ transverse momentum spectra and nuclear modification factors are reported at midrapidity (|y| < 1.0) in Au+Au collisions at √sN N = 39, 62.4 and 200 GeV taken by the STAR experiment. A suppression of J/ψ production, with respect to the production in p + p scaled by the number of binary nucleon–nucleon collisions, is observed in central Au+Au collisions at these three energies. No significant energy dependence of nuclear modification factors is found within uncertainties. The measured nuclear modification factors can be described by model calculations that take into account both suppression of direct J/ψ production due to the color screening effect and J/ψ regeneration from recombination of uncorrelated charm–anticharm quark pairs