Search results for "LSS"

Perspective: Essential study quality descriptors for data from nutritional epidemiologic research

2017

Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descrip…

Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook

2017

"Çalışmada 29 yazar bulunmaktadır. Bu yazarlardan sadece Bursa Uludağ Üniversitesi mensuplarının girişleri yapılmıştır” The paper presents the first modelling experiment of the European-scale olive pollen dispersion, analyses the quality of the predictions, and outlines the research needs. A 6-model strong ensemble of Copernicus Atmospheric Monitoring Service (CAMS) was run throughout the olive season of 2014, computing the olive pollen distribution. The simulations have been compared with observations in eight countries, which are members of the European Aeroallergen Network (EAN). Analysis was performed for individual models, the ensemble mean and median, and for a dynamically optimised c…

Cosmological parameters degeneracies and non-Gaussian halo bias

2010

We study the impact of the cosmological parameters uncertainties on the measurements of primordial non-Gaussianity through the large-scale non-Gaussian halo bias effect. While this is not expected to be an issue for the standard Lambda CDM model, it may not be the case for more general models that modify the large-scale shape of the power spectrum. We consider the so-called local non-Gaussianity model, parametrized by the f(NL) non-Gaussianity parameter which is zero for a Gaussian case, and make forecasts on f(NL) from planned surveys, alone and combined with a Planck CMB prior. In particular, we consider EUCLID- and LSST-like surveys and forecast the correlations among f(NL) and the runni…

Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity

2014

Many of the next generation of global climate models will include aerosol schemes which explicitly simulate the microphysical processes that determine the particle size distribution. These models enable aerosol optical properties and cloud condensation nuclei (CCN) concentrations to be determined by fundamental aerosol processes, which should lead to a more physically based simulation of aerosol direct and indirect radiative forcings. This study examines the global variation in particle size distribution simulated by 12 global aerosol microphysics models to quantify model diversity and to identify any common biases against observations. Evaluation against size distribution measurements from…

MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

2015

Abstract. This paper presents the first ensemble modelling experiment in relation to birch pollen in Europe. The seven-model European ensemble of MACC-ENS, tested in trial simulations over the flowering season of 2010, was run through the flowering season of 2013. The simulations have been compared with observations in 11 countries, all members of the European Aeroallergen Network, for both individual models and the ensemble mean and median. It is shown that the models successfully reproduced the timing of the very late season of 2013, generally within a couple of days from the observed start of the season. The end of the season was generally predicted later than observed, by 5 days or more…

Balss ergonomikas ietekme uz pirmsskolas skolotājiem

2019

Maģistra darba tēma: „Balss ergonomikas ietekme uz pirmsskolas skolotājiem”. Darba autore: Ilva Liepa Zinātniskā darba vadītāja: Prof., Dr. Paed. Sarmīte Tūbele Darba apjoms: 56 lpp., ietver 14 attēlus, 5 tabulas. Darba saturu veido ievads, 3 nodaļas, 10 apakšnodaļas, 3 pielikumi. Pētījuma mērķis: izpētīt, vai pirmsskolas skolotājiem ir balss traucējumi un ko viņi ir gatavi darīt, lai saglabātu un uzlabotu balss kvalitāti Pētījuma problēma: Pirmsskolas skolotāji nepietiekama informētība balss ergonomikā. Pētījuma uzdevumi: 1. Analizēt zinātnisko literatūru par pētāmo problēmu; 2. Veikt empīrisku pētījumu par balss ergonomikas ietekmi uz pirmsskolas skolotājiem, izmantojot BTI (balss traucēj…

Galvanic deposition and characterization of brushite/hydroxyapatite coatings on 316L stainless steel

2016

In this work, brushite and brushite/hydroxyapatite (BS, CaHPO4·H2O; HA, Ca10(PO4)6(OH)2) coatings were deposited on 316L stainless steel (316LSS) from a solution containing Ca(NO3)2·4H2O and NH4H2PO4 by a displacement reaction based on a galvanic contact, where zinc acts as sacrificial anode. Driving force for the cementation reaction arises from the difference in the electrochemical standard potentials of two different metallic materials (316LSS and Zn) immersed in an electrolyte, so forming a galvanic contact leading to the deposition of BS/HA on nobler metal. We found that temperature and deposition time affect coating features (morphology, structure, and composition). Deposits were char…

Turvaa ja turvattomuutta Ranskassa

2016

Diagnostic tools for GAMLSS fitted objects

2015

In the last years GAMLSS models were applied in many research fields representing a good solution to analyze data with huge variabilty. In this paper we propose a new approach to diagnostics in GAMLSS as an alternative to classical worm plot. An application will be shown where the class of GAMLSS is applied in order to detect the presence of liver fibrosis as a function of patients risk factors.

Separate regression modelling of the Gaussian and Exponential components of an EMG response from respiratory physiology.

2014

If Y1 \sim N(\mu ;\sigma^2) and Y2 \sim Exp(\nu), with Y1 independent of Y2, then their sum Y = Y1 +Y2 follows an Exponentially Modified Gaussian (EMG) distribution. In many applications it is of interest to model the two components separately, in order to investigate their (possibly) different important predictors. We show how this can be done through a GAMLSS with EMG response, and apply this separate regression modelling strategy to a dataset on lung function variables from the SAPALDIA cohort study.