Exotic nonrelativistic string

We construct a classical nonrelativistic string model in 3+1 dimensions. The model contains a spurion tensor field that is responsible for the noncommutative structure of the model. Under double-dimensional reduction the model reduces to the exotic nonrelativistic particle in 2+1 dimensions.

Evaluation of Hot Mix Asphalt Moisture Sensitivity Using the Nottingham Asphalt Test Equipment, July 2005

Moisture sensitivity of Hot Mix Asphalt (HMA) mixtures, generally called stripping, is a major form of distress in asphalt concrete pavement. It is characterized by the loss of adhesive bond between the asphalt binder and the aggregate (a failure of the bonding of the binder to the aggregate) or by a softening of the cohesive bonds within the asphalt binder (a failure within the binder itself), both of which are due to the action of loading under traffic in the presence of moisture. The evaluation of HMA moisture sensitivity has been divided into two categories: visual inspection test and mechanical test. However, most of them have been developed in pre-Superpave mix design. This research was undertaken to develop a protocol for evaluating the moisture sensitivity potential of HMA mixtures using the Nottingham Asphalt Tester (NAT). The mechanisms of HMA moisture sensitivity were reviewed and the test protocols using the NAT were developed. Different types of blends as moisture-sensitive groups and non-moisture-sensitive groups were used to evaluate the potential of the proposed test. The test results were analyzed with three parameters based on performance character: the retained flow number depending on critical permanent deformation failure (RFNP), the retained flow number depending on cohesion failure (RFNC), and energy ratio (ER). Analysis based on energy ratio of elastic strain (EREE ) at flow number of cohesion failure (FNC) has higher potential to evaluate the HMA moisture sensitivity than other parameters. If the measurement error in data-acquisition process is removed, analyses based on RFNP and RFNC would also have high potential to evaluate the HMA moisture sensitivity. The vacuum pressure saturation used in AASHTO T 283 and proposed test has a risk to damage specimen before the load applying.

On the efficient evaluation of ruin probabilities for completely monotone claim size distributions

In this paper we propose a highly accurate approximation procedure for ruin probabilities in the classical collective risk model, which is based on a quadrature/rational approximation procedure proposed in [2]. For a certain class of claim size distributions (which contains the completely monotone distributions) we give a theoretical justification for the method. We also show that under weaker assumptions on the claim size distribution, the method may still perform reasonably well in some cases. This in particular provides an efficient alternative to a related method proposed in [3]. A number of numerical illustrations for the performance of this procedure is provided for both completely monotone and other types of random variables.

Robust accelerated failure time regression

Robust estimators for accelerated failure time models with asymmetric (or symmetric) error distribution and censored observations are proposed. It is assumed that the error model belongs to a log-location-scale family of distributions and that the mean response is the parameter of interest. Since scale is a main component of mean, scale is not treated as a nuisance parameter. A three steps procedure is proposed. In the first step, an initial high breakdown point S estimate is computed. In the second step, observations that are unlikely under the estimated model are rejected or down weighted. Finally, a weighted maximum likelihood estimate is computed. To define the estimates, functions of censored residuals are replaced by their estimated conditional expectation given that the response is larger than the observed censored value. The rejection rule in the second step is based on an adaptive cut-off that, asymptotically, does not reject any observation when the data are generat ed according to the model. Therefore, the final estimate attains full efficiency at the model, with respect to the maximum likelihood estimate, while maintaining the breakdown point of the initial estimator. Asymptotic results are provided. The new procedure is evaluated with the help of Monte Carlo simulations. Two examples with real data are discussed.

Constitutive activity of receptors coupled to guanine nucleotide regulatory proteins.

Adrenoceptors are prototypic members of the superfamily of seven transmembrane domain, G protein-coupled receptors. Study of the properties of several mutationally activated adrenoceptors is deepening understanding of the normal functioning of this ubiquitous class of receptors. The new findings suggest an expansion of the classical ternary complex model of receptor action to include an explicit isomerization of the receptors from an inactive to an active state which couples to the G protein ('allosteric ternary complex model'). This isomerization involves conformational changes which may occur spontaneously, or be induced by agonists or appropriate mutations which abrogate the normal 'constraining' function of the receptor, allowing it to 'relax' into the active conformation. Robert Lefkowitz and colleagues discuss the physiological and pathophysiological implications of these new insights into regulation of receptor activity.

Acute respiratory syndrome after inhalation of waterproofing sprays: a posteriori exposure-response assessment in 102 cases

Waterproofing agents are widely used to protect leather and textiles in both domestic and occupational activities. An outbreak of acute respiratory syndrome following exposure to waterproofing sprays occurred during the winter 2002-2003 in Switzerland. About 180 cases were reported by the Swiss Toxicological Information Centre between October 2002 and March 2003, whereas fewer than 10 cases per year had been recorded previously. The reported cases involved three brands of sprays containing a common waterproofing mixture, that had undergone a formulation change in the months preceding the outbreak. A retrospective analysis was undertaken in collaboration with the Swiss Toxicological Information Centre and the Swiss Registries for Interstitial and Orphan Lung Diseases to clarify the circumstances and possible causes of the observed health effects. Individual exposure data were generated with questionnaires and experimental emission measurements. The collected data was used to conduct numeric simulation for 102 cases of exposure. A classical two-zone model was used to assess the aerosol dispersion in the near- and far-field during spraying. The resulting assessed dose and exposure levels obtained were spread on large scales, of several orders of magnitude. No dose-response relationship was found between exposure indicators and health effects indicators (perceived severity and clinical indicators). Weak relationships were found between unspecific inflammatory response indicators (leukocytes, C-reactive protein) and the maximal exposure concentration. The results obtained disclose a high interindividual response variability and suggest that some indirect mechanism(s) predominates in the respiratory disease occurrence. Furthermore, no threshold could be found to define a safe level of exposure. These findings suggest that the improvement of environmental exposure conditions during spraying alone does not constitute a sufficient measure to prevent future outbreaks of waterproofing spray toxicity. More efficient preventive measures are needed prior to the marketing and distribution of new waterproofing agents.

What matters for predicting spatial distributions of trees: techniques, data, or species' characteristics?

Data characteristics and species traits are expected to influence the accuracy with which species' distributions can be modeled and predicted. We compare 10 modeling techniques in terms of predictive power and sensitivity to location error, change in map resolution, and sample size, and assess whether some species traits can explain variation in model performance. We focused on 30 native tree species in Switzerland and used presence-only data to model current distribution, which we evaluated against independent presence-absence data. While there are important differences between the predictive performance of modeling methods, the variance in model performance is greater among species than among techniques. Within the range of data perturbations in this study, some extrinsic parameters of data affect model performance more than others: location error and sample size reduced performance of many techniques, whereas grain had little effect on most techniques. No technique can rescue species that are difficult to predict. The predictive power of species-distribution models can partly be predicted from a series of species characteristics and traits based on growth rate, elevational distribution range, and maximum elevation. Slow-growing species or species with narrow and specialized niches tend to be better modeled. The Swiss presence-only tree data produce models that are reliable enough to be useful in planning and management applications.

Research networks and inventors’ mobility as drivers of innovation evidence from Europe

We investigate the importance of the labour mobility of inventors, as well as the scale, extent and density of their collaborative research networks, for regional innovation outcomes. To do so, we apply a knowledge production function framework at the regional level and include inventors’ networks and their labour mobility as regressors. Our empirical approach takes full account of spatial interactions by estimating a spatial lag model together, where necessary, with a spatial error model. In addition, standard errors are calculated using spatial heteroskedasticity and autocorrelation consistent estimators to ensure their robustness in the presence of spatial error autocorrelation and heteroskedasticity of unknown form. Our results point to the existence of a robust positive correlation between intraregional labour mobility and regional innovation, whilst the relationship with networks is less clear. However, networking across regions positively correlates with a region’s innovation intensity.

Statistical Inversion Theory in X-ray Tomography

In this thesis the X-ray tomography is discussed from the Bayesian statistical viewpoint. The unknown parameters are assumed random variables and as opposite to traditional methods the solution is obtained as a large sample of the distribution of all possible solutions. As an introduction to tomography an inversion formula for Radon transform is presented on a plane. The vastly used filtered backprojection algorithm is derived. The traditional regularization methods are presented sufficiently to ground the Bayesian approach. The measurements are foton counts at the detector pixels. Thus the assumption of a Poisson distributed measurement error is justified. Often the error is assumed Gaussian, altough the electronic noise caused by the measurement device can change the error structure. The assumption of Gaussian measurement error is discussed. In the thesis the use of different prior distributions in X-ray tomography is discussed. Especially in severely ill-posed problems the use of a suitable prior is the main part of the whole solution process. In the empirical part the presented prior distributions are tested using simulated measurements. The effect of different prior distributions produce are shown in the empirical part of the thesis. The use of prior is shown obligatory in case of severely ill-posed problem.

Suorituskyvyn analysointijärjestelmän rakentaminen pk-yrityksessä

Tutkimuksen päätavoite oli kehittää suorituskyvyn analysointijärjestelmä metalliteollisuuden alihankintaa suorittavalle pk-yritykselle. Lisäksi tutkittiin toimintatapoja, jotka edesauttavat menestyksekkään analysointijärjestelmän rakentamista. Tutkimuksessa käsiteltiin myös mittausjärjestelmän hyötyjä ja haittoja pk-yritykselle. Tutkimuksen teoreettisessa osassa käsitellään yleisesti suorituskykyä, esitellään erilaisia suorituskyvyn analysointijärjestelmiä ja selvitetään järjestelmien eroja. Lisäksi esitellään erilaisia prosessimalleja, joiden avulla yritys voi rakentaa suorituskyvyn analysointijärjestelmän. Tutkimuksen empiirisessä osassa esitellään yrityksessä läpikäyty prosessimalli, jonka avulla rakennettiin suorituskyvyn analysointijärjestelmä. Yrityksessä läpikäydyn prosessin pohjana toimi SAKE-prosessimalli, mutta ideoita haettiin myös Toivasen mallista. Tutkimuksen tuloksena syntyi teoreettinen paketti suorituskyvyn analysoinnista ja malli suorituskyvyn analysointijärjestelmästä. Teoreettinen paketti toimi hyvänä pohjana ja tarjosi taustatietoa aiheesta projektissa mukana olleille henkilöille. Tutkimuksen tuloksena syntynyt malli soveltuu parhaiten metallin mekaanista työstöä suorittavalle yritykselle, mutta myös muut yritykset voivat ottaa tästä mallia. Hyödyllisimmäksi näkökulmaksi voi nostaa itse prosessin, jonka avulla päästään tarkastelemaan yrityksen menestymisen taustalla olevia tekijöitä.

Cross-country data on the quantity of schooling: a selective survey and some quality measures

We survey a number of papers that have focused on the construction of cross-country data sets on average years of schooling. We discuss the construction of the different series, compare their profiles and construct indicators of their information content. The discussion focuses on a sample of OECD countries but we also provide some results for a large non-OECD sample.

Operatiivisen tason suorituskyvyn mallimittariston kehittäminen logistiikkapalveluyritykselle

Tutkimuksen tavoitteena oli kehittää mallimittaristo logistiikkapalvelualalla toimivan yrityksen operatiivisen tason suorituskyvyn seurantaan ja toiminnanohjausta varten, päivittäisen johtamisen tueksi. Tutkimus suoritettiin pääosin toiminta-analyyttisena, yhden yrityksen empiirisenä tapaustutkimuksena. Tutkimuksen kohdeyrityksen toiminnanmittaus perustuu tällä hetkellä pääasiassa taloudellisiin mittareihin ja muutamaan kyselyyn. Toiminnanohjauksen ja – kehittämisen, päätöksenteon tueksi tarvitaan, taloudellisten mittareiden lisäksi, mittareita, joilla pystytään seuraamaan suorituskyvyn taustalla vaikuttavien tekijöiden kehittymistä. Tutkimuksen kohdeyrityksen operatiivisen tason suorituskyvyn mallimittariston suunnittelussa haluttiin varmistaa, että jatkossa mittaamisella vaikutettaisiin seuraustekijöiden lisäksi myös syytekijöihin, selkiyttää liiketoiminnan tavoitteet, operatiivisen tason näkökulmasta, ja mittaamisen tavoite. Tutkimuksessa esitelty mallimittaristo on suunniteltu, tasapainotetun mittariston viitekehyksen avulla. Mittariston näkökulmiksi valittiin: talous, sidosryhmä (asiakas), prosessi ja henkilöstö. Mittariston tuottaman tiedon tavoitteena on toiminnanohjauksen, -kehittämisen ja päätöksenteon tukeminen, kun mittaustulokset ja trendi ovat yhdessä paikassa, on tiedonhaku ja - hyödyntäminen helpompaa. Mallimittaristoa ei testattu eikä käyttöönotettu tutkimuksessa.

Correcting the Errors : A Note on Volatility Forecast Evaluation Based on High-Frequency Data and Realized Volatilities

This note develops general model-free adjustment procedures for the calculation of unbiased volatility loss functions based on practically feasible realized volatility benchmarks. The procedures, which exploit the recent asymptotic distributional results in Barndorff-Nielsen and Shephard (2002a), are both easy to implement and highly accurate in empirically realistic situations. On properly accounting for the measurement errors in the volatility forecast evaluations reported in Andersen, Bollerslev, Diebold and Labys (2003), the adjustments result in markedly higher estimates for the true degree of return-volatility predictability.

Amplitude de mouvement du coude, développement d’une méthode de mesure radiographique et identification des facteurs influents.

L’instrument le plus fréquemment utilisé pour la mesure de l’amplitude de mouvement du coude est le goniomètre universel. Or celui-ci ne fait pas l’unanimité : plusieurs auteurs remettent en question sa fiabilité et validité. Cette étude détaille donc, en trois étapes, une alternative beaucoup plus précise et exacte : une méthode radiographique de mesure. Une étude de modélisation a d’abord permis de repérer les sources d’erreur potentielles de cette méthode radiographique, à ce jour jamais utilisée pour le coude. La méthode a ensuite servi à évaluer la validité du goniomètre. À cette fin, 51 volontaires ont participé à une étude clinique où les deux méthodes ont été confrontées. Finalement, la mesure radiographique a permis de lever le voile sur l’influence que peuvent avoir différents facteurs démographiques sur l’amplitude de mouvement du coude. La méthode radiographique s’est montrée robuste et certaines sources d’erreurs facilement évitables ont été identifiées. En ce qui concerne l’étude clinique, l’erreur de mesure attribuable au goniomètre était de ±10,3° lors de la mesure du coude en extension et de ±7,0° en flexion. L’étude a également révélé une association entre l’amplitude de mouvement et différents facteurs, dont les plus importants sont l’âge, le sexe, l’IMC et la circonférence du bras et de l’avant-bras. En conclusion, l’erreur du goniomètre peut être tolérée en clinique, mais son utilisation est cependant déconseillée en recherche, où une erreur de mesure de l’ordre de 10° est inacceptable. La méthode radiographique, étant plus précise et exacte, représente alors une bien meilleure alternative.

Identification des résidus essentiels à l’interaction du récepteur CXCR7 avec ses ligands SDF-1 et ITAC

Les chimiokines sont des petites protéines secrétées dont la fonction principale est la stimulation de la migration de cellules immunitaires vers différents organes et tissus. Elles sont souvent impliquées lors des maladies inflammatoires, auto-immunes et des cancers. Ainsi, les chimiokines et leurs récepteurs couplés aux protéines G (RCPG) sont la cible pharmacologique de plusieurs molécules, actuellement testées en essais cliniques. Nous avons pris comme modèle, lors de notre étude, le récepteur atypique CXCR7. Ce récepteur est dit atypique, car il ne signalise pas via la voie classique des protéines G, mais plutôt via la voie de la β-arrestine. CXCR7 est impliqué dans de nombreux cancers, favorise la progression métastatique et est un co-récepteur pour le virus de l’immunodéficience humaine (VIH). Cependant, aucune donnée sur son mode de liaison avec ses ligands CXCL11/ITAC et CXCL12/SDF-1 n’existe à date. Nous pensons que cette information est essentielle pour le développement efficace d’agonistes et d’antagonistes, et nous nous sommes intéressés à identifier les résidus essentiels à la liaison des deux ligands de CXCR7 et à son activation par ces derniers. Pour cela, nous avons créé une série de mutants par substitution ou délétion d’acides aminés de la partie N-terminale, des boucles extracellulaires et des domaines transmembranaires du récepteur. Nous avons testé leur marquage en surface cellulaire par cytométrie en flux, leur liaison des deux ligands par expériences de radio-liaison, et leur capacité à recruter la β-arrestine en réponse aux ligands par essais BRET. Les résultats obtenus ont permis d’identifier des résidus importants à l’interaction des systèmes CXCR7/SDF-1 et CXCR7-ITAC et suggèrent des modes de liaison à CXCR7 différents entre ITAC et SDF-1. Tout comme la liaison d’ITAC à son autre récepteur CXCR3, sa liaison à CXCR7 suivrait le mode conventionnel de liaison en deux étapes des récepteurs de chimiokines. Cependant, la liaison de SDF-1 à CXCR7 suivrait un autre mode de liaison, contrairement à sa liaison à son autre récepteur, CXCR4.