41 research outputs found
Model for Glass Transition in a Binary fluid from a Mode Coupling approach
We consider the Mode Coupling Theory (MCT) of Glass transition for a Binary
fluid. The Equations of Nonlinear Fluctuating Hydrodynamics are obtained with a
proper choice of the slow variables corresponding to the conservation laws. The
resulting model equations are solved in the long time limit to locate the
dynamic transition. The transition point from our model is considerably higher
than predicted in existing MCT models for binary systems. This is in agreement
with what is seen in Computer Simulation of binary fluids. fluids.Comment: 9 Pages, 3 Figure
ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle
The Allergic Rhinitis and its Impact on Asthma (ARIA) initiative commenced during a World Health Organization workshop in 1999. The initial goals were (1) to propose a new allergic rhinitis classification, (2) to promote the concept of multi-morbidity in asthma a
Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.
Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes
An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task Progress
Abstract. For an ambient intelligent agent to support a human in demanding tasks it is important to be aware of the progress made in a given workflow. It would be possible to interact with the human about this, but this may disturb task performance. In this paper an ambient agent model is presented that is able to obtain such an awareness of the human’s progress in a workflow by performing model-based analysis using available workflow models and available observation information. Simulation experiments for the presented the ambient agent model for a case study are discussed, and evaluated by automated formal verification
An ambient agent model for monitoring and analysing dynamics of complex human behaviour
Speed Dating with an Affective Virtual Agent- Developing a Testbed for Emotion Models
Abstract. In earlier studies, user involvement with an embodied software agent and willingness to use that agent were partially determined by the aesthetics of the design and the moral fiber of the character. We used these empirical results to model agents that in their turn would build up affect for their users much the same way as humans do for agents. Through simulations, we tested these models for internal consistency and were successful in establishing the relationships among the factors as suggested by the earlier user studies. This paper reports on the first confrontation of our agent system with real users to check whether users recognize that our agents function in similar ways as humans do. Through a structured questionnaire, users informed us whether our agents evaluated the user’s aesthetics and moral stance while building up a level of involvement with the user and a degree of willingness to interact with the user again
Inter and intraobserver variability in DePalma's classification of shoulder calcific tendinitis
OBJECTIVE: To determine the intraobserver reproducibility and interobserver reliability of DePalma and Kruper's classification of calcific tendinitis of the rotator cuff. The result of this classification influences the choice of therapeutic procedures in patients with symptomatic calcific tendinitis. METHODS: Plain anteroposterior radiographs of shoulders from 100 patients with symptomatic calcified deposits of the rotator cuff were classified according to the criteria of DePalma and Kruper by 6 independent observers at 2 different time points within 4 months. The kappa values of intraobserver reproducibility and interobserver reliability were calculated. RESULTS: Kappa values of intraobserver reproducibility had a mean of 0.487 (SD 0.094); kappa values of interobserver reliability were 0.234 for the first test and 0.273 for the second test. CONCLUSION: Determination of intraobserver reproducibility gave satisfactory to sufficient results and interobserver reliability was satisfactory for both tests indicating that studies based on the classification of DePalma and Kruper should be interpreted cautiously
Colonial Echo, 1957
The Colonial Echo, the College of William and Mary's student yearbook, began publication in 1899. There were no volumes produced in 1900 or 1904
Nitrogen fixation in biological soil crusts from southeast Utah, USA
Biological soil crusts can be the dominant source of N for arid land ecosystems. We measured potential N fixation rates biweekly for 2 years, using three types of soil crusts: (1) crusts whose directly counted cells were \u3e98% Microcoleus vaginatus (light crusts); (2) crusts dominated by M. vaginatus, but with 20% or more of the directly counted cells represented by Nostoc commune and Scytonema myochrous (dark crusts); and (3) the soil lichen Collema sp. At all observation times, Collema had higher nitrogenase activity (NA) than dark crusts, which had higher NA than light crusts, indicating that species composition is critical when estimating N inputs. In addition, all three types of crusts generally responded in a similar fashion to climate conditions. Without precipitation within a week of collection, no NA was recorded, regardless of other conditions being favorable. Low (\u3c1°C) and high (\u3e26°C) temperatures precluded NA, even if soils were moist. If rain or snow melt had occurred 3 or less days before collection, NA levels were highly correlated with daily average temperatures of the previous 3 days (r 2=0.93 for Collema crusts; r 2=0.86 for dark crusts and r 2=0.83 for light crusts) for temperatures between 1°C and 26°C. If a precipitation event followed a long dry period, NA levels were lower than if collection followed a time when soils were wet for extended periods (e.g., winter). Using a combination of data from a recording weather datalogger, time-domain reflectometry, manual dry-down curves, and N fixation rates at different temperatures, annual N input from the different crust types was estimated. Annual N input from dark crusts found at relatively undisturbed sites was estimated at 9 kg ha–1 year–1. With 20% cover of the N-fixing soil lichen Collema, inputs are estimated at 13 kg ha–1 year–1. N input from light crusts, generally indicating soil surface disturbance, was estimated at 1.4 kg ha–1 year–1. The rates in light crusts are expected to be highly variable, as disturbance history will determine cyanobacterial biomass and therefore N fixation rates