In vivo distribution and ex vivo permeation of cyclosporine A prodrug aqueous formulations for ocular application.

Cyclosporine A is a poorly water-soluble, immunosuppressive drug used to treat a variety of ocular diseases. Its limited solubility makes challenging the development of a cyclosporine A-based eye drop for ocular topical application. Based on the prodrug strategy, the practically insoluble cyclosporine A was converted into a freely soluble prodrug. Such a water-soluble prodrug made it possible to develop water-based concentrated eye drops. The prodrug formulations were tested for their ex vivo permeation and in vivo distribution at three concentrations (equivalent to 0.05%, 0.50% and 2.00% w/v cyclosporine A). The ex vivo permeation experiments were performed on corneal and conjunctival epithelia. The in vivo distribution evaluated the total cyclosporine A present in the ocular structures as well as in serum, spleen and cervical lymphatic ganglions. Each prodrug formulation was compared to conventionally used cyclosporine A eye drops at an equivalent concentration. The experimental results showed that the tested eye drops behaved differently. The prodrug formulation was characterized by the following: i) preferential conjunctival penetration, ii) an interesting capacity to create large tissue deposits and iii) a lower risk of systemic complications and immunosuppression. The prodrug aqueous eye drop was demonstrated to be a patient-friendly option for the treatment of ocular diseases requiring high ocular levels of cyclosporine A, pushing the boundaries of the current therapeutic arsenal.

Distribution of metals exposure and associations with cardiometabolic risk factors in the "Modeling the Epidemiologic Transition Study".

BACKGROUND: Metals are known endocrine disruptors and have been linked to cardiometabolic diseases via multiple potential mechanisms, yet few human studies have both the exposure variability and biologically-relevant phenotype data available. We sought to examine the distribution of metals exposure and potential associations with cardiometabolic risk factors in the "Modeling the Epidemiologic Transition Study" (METS), a prospective cohort study designed to assess energy balance and change in body weight, diabetes and cardiovascular disease risk in five countries at different stages of social and economic development. METHODS: Young adults (25-45 years) of African descent were enrolled (N = 500 from each site) in: Ghana, South Africa, Seychelles, Jamaica and the U.S.A. We randomly selected 150 blood samples (N = 30 from each site) to determine concentrations of selected metals (arsenic, cadmium, lead, mercury) in a subset of participants at baseline and to examine associations with cardiometabolic risk factors. RESULTS: Median (interquartile range) metal concentrations (μg/L) were: arsenic 8.5 (7.7); cadmium 0.01 (0.8); lead 16.6 (16.1); and mercury 1.5 (5.0). There were significant differences in metals concentrations by: site location, paid employment status, education, marital status, smoking, alcohol use, and fish intake. After adjusting for these covariates plus age and sex, arsenic (OR 4.1, 95% C.I. 1.2, 14.6) and lead (OR 4.0, 95% C.I. 1.6, 9.6) above the median values were significantly associated with elevated fasting glucose. These associations increased when models were further adjusted for percent body fat: arsenic (OR 5.6, 95% C.I. 1.5, 21.2) and lead (OR 5.0, 95% C.I. 2.0, 12.7). Cadmium and mercury were also related with increased odds of elevated fasting glucose, but the associations were not statistically significant. Arsenic was significantly associated with increased odds of low HDL cholesterol both with (OR 8.0, 95% C.I. 1.8, 35.0) and without (OR 5.9, 95% C.I. 1.5, 23.1) adjustment for percent body fat. CONCLUSIONS: While not consistent for all cardiometabolic disease markers, these results are suggestive of potentially important associations between metals exposure and cardiometabolic risk. Future studies will examine these associations in the larger cohort over time.

Building the niche through time: using 13,000 years of data to predict the effects of climate change on three tree species in Europe

Aim Species distribution models (SDMs) based on current species ranges underestimate the potential distribution when projected in time and/or space. A multi-temporal model calibration approach has been suggested as an alternative, and we evaluate this using 13,000 years of data. Location Europe. Methods We used fossil-based records of presence for Picea abies, Abies alba and Fagus sylvatica and six climatic variables for the period 13,000 to 1000yr bp. To measure the contribution of each 1000-year time step to the total niche of each species (the niche measured by pooling all the data), we employed a principal components analysis (PCA) calibrated with data over the entire range of possible climates. Then we projected both the total niche and the partial niches from single time frames into the PCA space, and tested if the partial niches were more similar to the total niche than random. Using an ensemble forecasting approach, we calibrated SDMs for each time frame and for the pooled database. We projected each model to current climate and evaluated the results against current pollen data. We also projected all models into the future. Results Niche similarity between the partial and the total-SDMs was almost always statistically significant and increased through time. SDMs calibrated from single time frames gave different results when projected to current climate, providing evidence of a change in the species realized niches through time. Moreover, they predicted limited climate suitability when compared with the total-SDMs. The same results were obtained when projected to future climates. Main conclusions The realized climatic niche of species differed for current and future climates when SDMs were calibrated considering different past climates. Building the niche as an ensemble through time represents a way forward to a better understanding of a species' range and its ecology in a changing climate.

Distribution profile of zwitterions and hydrolysis of esters derived from N-benzylpiperazine

Résumé Les esters sont des agents thérapeutiques largement utilisés comme médicaments et prodrogues. Leurs dégradation est chimique et enzymatique. Le Chapitre IV de cette thèse a comme objet l'hydrolyse chimique de plusieurs dérivés esters du 2,3-dimethoxyphenol. Des composés modèles ont été synthétisés dans le but de déterminer leur mécanismes de dégradation. Les profils d'ionisation et d'hydrolyse de ces composés ont permis d'identifier la présence d'une catalyse intramoléculaire basique par un atome d'azote non-protoné. Les effets électroniques exercés par les groupes phenylethenyle et phenylcyclopropyle influencent également la vitesse d'hydrolyse des esters. La résolution des problèmes liés à l'adsorption et la perméation est devenue à nos jours l'étape limitante dans la conception de nouveaux médicaments car de trop nombreux candidats prometteurs ont échoué à cause d'une mauvaise biodisponibilité. La lipophilie décrit le partage d'un médicament entre une membrane lipidique et son environnement physiologique aqueux, et de ce fait elle influence sa pharmacocinétique. Des études récents ont mis en évidence l'importance de la détermination de la lipophilie des espèces ionisées vu leur considérable impact biologique. Le Chapitre V de cette thèse est centré sur une classe particulière de composés ionisables, les zwitterions. Plusieurs methoxybenzylpiperazines de nature zwitterionique ont été étudiées. Leurs profils d'ionisation ont montré que dans un large intervalle de pH, l'espèce prédominante est le zwitterion. Les profils de lipophilie ont montré que leur lipophilie est plus élevée que celles des zwitterions courants. Une interaction électrostatique entre l'oxygène du carboxylate et l'azote protoné est responsable de ce profil et rend la plupart des zwitterions non-donneurs de liaison hydrogène. Ces deux aspects peuvent favoriser le passage de la barrière hémato-éncephalique. Les données biologiques ont par la suite confirmé cette hypothèse pour un certain nombre de composés. Résumé large public Les esters sont des composés souvent rencontrés en chimie thérapeutique. Ils sont dégradés en milieu aqueux par une réaction d'hydrolyse, avec ou sans la participation d'enzymes. Dans ce travail de thèse, une série d'esters ont été étudiés dans le but d'établir une relation entre leur structure et les mécanismes responsables de leur dégradation chimique. Il a été prouvé que la dégradation est accélérée par un atome d'azote non-protoné. D'autres mécanismes peuvent intervenir en fonction du pH du milieu. La présence d'une liaison simple ou double ou d'un groupe phenylcyclopropyle peut également influencer la vitesse de dégradation. Il est essentiel, dans la conception de nouveaux médicaments, d'optimiser les étapes qui influencent leur distribution dans le corps. Ce dernier peut être visualisé comme une série infinie de compartiments aqueux séparés par des membranes lipidiques. La lipophilie est une propriété moléculaire importante qui décrit le passage des barrières rencontrées par les médicaments. Des études récentes ont mis en évidence l'importance de déterminer la lipophilie des espèces ionisées vu leur considérable impact biologique. Dans ce travail de thèse a été étudiée une série particulière de composés ionisables , les zwitterions. Une relation a été établie entre leur structure et leur proprietés physico-chimiques. Une lipophilie plus élevée par rapport à celle des zwitterions courants a été trouvée. Une interaction entre les groupes chargés des zwitterions étudiés est responsable de ce comportement inattendu et rend la plupart d'entre eux non-donneurs de liaison hydrogène. Ces deux facteurs peuvent favoriser la pénétration cérébrale. Les données biologiques ont confirmé cette hypothèse pour un certain nombre de composés. Summary Esters are often encountered in medicinal chemistry. Their hydrolysis may be chemical as well as enzymatic. Chapter IV of this manuscript provides a mechanistic insight into the chemical hydrolysis of a particular series of basic esters derived from 2,3-dimethoxyphenol. Their ionization and pH-rate profiles allowed to identify the presence of an intramolecular base catalysis by a non-protonated nitrogen atom. Electronic effects exerted by the phenylethenyl and phenylcyclopropyl groups that are present in the structure of the esters also influenced their rate of hydrolysis. Numerous works in the literature witness of the importance of lipophilicity in determining the fate of a drug. Most published partition coefficients are those of neutral species. In contrast, no exhaustive treatment of the lipophilicity of charged molecules is available at present, and a lack of information characterizes in particular zwitterions. Chapter V of this manuscript provides an insight into the physicochemical parameters of a series of zwitterionic methoxybenzylpiperazines. Their ionization profiles showed that they exist predominantly in the zwitterionic form in a broad pH-range. An electrostatic interaction between the oxygen of the carboxylate and the protonated nitrogen atom is increases the lipophilicity of the investigated zwitterions, and prevents the majority of them to express their hydrogen-bonding capacity. These two aspects may favor the crossing of the blood-brain barrier. The available ratios PSt/PSf measured in vitro have confirmed this point for a number of compounds.

Are niche-based species distribution models transferable in space?

Aim To assess the geographical transferability of niche-based species distribution models fitted with two modelling techniques. Location Two distinct geographical study areas in Switzerland and Austria, in the subalpine and alpine belts. Methods Generalized linear and generalized additive models (GLM and GAM) with a binomial probability distribution and a logit link were fitted for 54 plant species, based on topoclimatic predictor variables. These models were then evaluated quantitatively and used for spatially explicit predictions within (internal evaluation and prediction) and between (external evaluation and prediction) the two regions. Comparisons of evaluations and spatial predictions between regions and models were conducted in order to test if species and methods meet the criteria of full transferability. By full transferability, we mean that: (1) the internal evaluation of models fitted in region A and B must be similar; (2) a model fitted in region A must at least retain a comparable external evaluation when projected into region B, and vice-versa; and (3) internal and external spatial predictions have to match within both regions. Results The measures of model fit are, on average, 24% higher for GAMs than for GLMs in both regions. However, the differences between internal and external evaluations (AUC coefficient) are also higher for GAMs than for GLMs (a difference of 30% for models fitted in Switzerland and 54% for models fitted in Austria). Transferability, as measured with the AUC evaluation, fails for 68% of the species in Switzerland and 55% in Austria for GLMs (respectively for 67% and 53% of the species for GAMs). For both GAMs and GLMs, the agreement between internal and external predictions is rather weak on average (Kulczynski's coefficient in the range 0.3-0.4), but varies widely among individual species. The dominant pattern is an asymmetrical transferability between the two study regions (a mean decrease of 20% for the AUC coefficient when the models are transferred from Switzerland and 13% when they are transferred from Austria). Main conclusions The large inter-specific variability observed among the 54 study species underlines the need to consider more than a few species to test properly the transferability of species distribution models. The pronounced asymmetry in transferability between the two study regions may be due to peculiarities of these regions, such as differences in the ranges of environmental predictors or the varied impact of land-use history, or to species-specific reasons like differential phenotypic plasticity, existence of ecotypes or varied dependence on biotic interactions that are not properly incorporated into niche-based models. The lower variation between internal and external evaluation of GLMs compared to GAMs further suggests that overfitting may reduce transferability. Overall, a limited geographical transferability calls for caution when projecting niche-based models for assessing the fate of species in future environments.

Distribution de la fraction d'excrétion rénale du lithium et de l'acide urique dans l'étude de population Hercules

Problématique¦L'évaluation fonctionnelle du tubule proximal du rein est intéressante pour la compréhension de la physiopathologie des anomalies du transport du sodium à ce niveau du néphron. Ces anomalies participent au développement de l'hypertension artérielle (HTA) et de la sensibilité au sel. Environ 60% à 80% du sodium est réabsorbé proximalement dans le néphron. Chez l'animal, la fonction du tube proximal peut être estimée directement par microponction. Une telle approche directe n'étant pas possible chez l'homme, seul des approches indirectes permettent de recueillir des informations sur la physiologie de ce segment du néphron, comme par exemple par la mesure de la clairance du lithium (endogène ou exogène) ou de l'acide urique. La fraction d'excrétion du lithium (FELi) et la fraction d'excrétion de l'acide urique (FEAU) permettent d'estimer la réabsorption proximale de sodium chez l'homme. Plusieurs études expérimentales et cliniques ont montré l'existence d'une relation linéaire entre la FELi et la fraction excrétée du sodium (FENa) chez l'animal et l'homme.¦Objectif¦Décrire la distribution de la FELi et de la FEAU et analyser les associations de ces deux variables avec l'âge, le sexe, la consommation d'alcool, le tabagisme, la pression artérielle et l'IMC dans l'étude de population Hercules.¦Méthodes¦Sélection au hasard d'un sous-groupe de participants de l'étude CoLaus (N=6188). Nombre de participants à l'étude Hercules: 437, dont 229 femmes et 208 hommes. Les participants ont effectué une récolte d'urine sur 24 heures afin de déterminer la fonction rénale et les FELi et FEAU. Le TFG a été mesuré à l'aide de la clairance de la créatinine. Le test des rangs signés de Wilcoxon pour données appariées ( Wilcoxon matched-pairs signed rank test) et le test de comparaison des médianes ont été utilisés pour la comparaison entre groupes. Le coefficient de corrélation de Spearman a été utilisé pour évaluer la relation entre les variables continues. Les box-plots ont été utilisés pour la description de la distribution du lithium et de l'acide urique selon l'âge, le sexe et la période de la journée. Le logiciel Stata 11.0 a été utilisé pour les analyses statistiques.¦Résultats¦La prévalence de l'HTA dans la population de l'étude Hercules était 33%, la prévalence du diabète était 8%, la prévalence de l'obésité était 15.3%, la prévalence du tabagisme était 23%. La FELi reste stable avec l'âge et est similaire dans les deux sexes. Chez les hommes, la FELi est plus grande la nuit que le jour, c'est-à-dire qu'ils résorbent plus de sodium proximalement le jour que la nuit. Un IMC plus grand est associé à une FELi plus basse dans les deux sexes. Il y a une corrélation négative entre la FEAU et l'IMC (significative) et la consommation d'alcool.¦Conclusion¦Les résultats obtenus avec les données de l'étude Hercules sont similaires à ceux qu'on retrouve dans la littérature sur la FELi et la FEAU , ce qui rassure sur la qualité des données. La FELi varie peu avec l'âge et le sexe, contrairement à la FEAU, qui varie fortement avec l'âge et le sexe. L'HTA, le diabète, l'obésité, le tabagisme et la consommation d'alcool sont associées à une FELi et FEAU plus basses. Les sujets qui présentent ces caractéristiques réabsorbent donc plus de sodium au niveau proximal.

Climate change and plant distribution: local models predict high-elevation persistence

Mountain ecosystems will likely be affected by global warming during the 21st century, with substantial biodiversity loss predicted by species distribution models (SDMs). Depending on the geographic extent, elevation range and spatial resolution of data used in making these models, different rates of habitat loss have been predicted, with associated risk of species extinction. Few coordinated across-scale comparisons have been made using data of different resolution and geographic extent. Here, we assess whether climate-change induced habitat losses predicted at the European scale (10x10' grid cells) are also predicted from local scale data and modeling (25x25m grid cells) in two regions of the Swiss Alps. We show that local-scale models predict persistence of suitable habitats in up to 100% of species that were predicted by a European-scale model to lose all their suitable habitats in the area. Proportion of habitat loss depends on climate change scenario and study area. We find good agreement between the mismatch in predictions between scales and the fine-grain elevation range within 10x10' cells. The greatest prediction discrepancy for alpine species occurs in the area with the largest nival zone. Our results suggest elevation range as the main driver for the observed prediction discrepancies. Local scale projections may better reflect the possibility for species to track their climatic requirement toward higher elevations.

Introduction of snow and geomorphic disturbance variables into predictive models of alpine plant distribution in the Western Swiss Alps

Indirect topographic variables have been used successfully as surrogates for disturbance processes in plant species distribution models (SDM) in mountain environments. However, no SDM studies have directly tested the performance of disturbance variables. In this study, we developed two disturbance variables: a geomorphic index (GEO) and an index of snow redistribution by wind (SNOW). These were developed in order to assess how they improved both the fit and predictive power of presenceabsence SDM based on commonly used topoclimatic (TC) variables for 91 plants in the Western Swiss Alps. The individual contribution of the disturbance variables was compared to TC variables. Maps of models were prepared to spatially test the effect of disturbance variables. On average, disturbance variables significantly improved the fit but not the predictive power of the TC models and their individual contribution was weak (5.6% for GEO and 3.3% for SNOW). However their maximum individual contribution was important (24.7% and 20.7%). Finally, maps including disturbance variables (i) were significantly divergent from TC models in terms of predicted suitable surfaces and connectivity between potential habitats, and (ii) were interpreted as more ecologically relevant. Disturbance variables did not improve the transferability of models at the local scale in a complex mountain system, and the performance and contribution of these variables were highly species-specific. However, improved spatial projections and change in connectivity are important issues when preparing projections under climate change because the future range size of the species will determine the sensitivity to changing conditions.

An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

1. Few examples of habitat-modelling studies of rare and endangered species exist in the literature, although from a conservation perspective predicting their distribution would prove particularly useful. Paucity of data and lack of valid absences are the probable reasons for this shortcoming. Analytic solutions to accommodate the lack of absence include the ecological niche factor analysis (ENFA) and the use of generalized linear models (GLM) with simulated pseudo-absences. 2. In this study we tested a new approach to generating pseudo-absences, based on a preliminary ENFA habitat suitability (HS) map, for the endangered species Eryngium alpinum. This method of generating pseudo-absences was compared with two others: (i) use of a GLM with pseudo-absences generated totally at random, and (ii) use of an ENFA only. 3. The influence of two different spatial resolutions (i.e. grain) was also assessed for tackling the dilemma of quality (grain) vs. quantity (number of occurrences). Each combination of the three above-mentioned methods with the two grains generated a distinct HS map. 4. Four evaluation measures were used for comparing these HS maps: total deviance explained, best kappa, Gini coefficient and minimal predicted area (MPA). The last is a new evaluation criterion proposed in this study. 5. Results showed that (i) GLM models using ENFA-weighted pseudo-absence provide better results, except for the MPA value, and that (ii) quality (spatial resolution and locational accuracy) of the data appears to be more important than quantity (number of occurrences). Furthermore, the proposed MPA value is suggested as a useful measure of model evaluation when used to complement classical statistical measures. 6. Synthesis and applications. We suggest that the use of ENFA-weighted pseudo-absence is a possible way to enhance the quality of GLM-based potential distribution maps and that data quality (i.e. spatial resolution) prevails over quantity (i.e. number of data). Increased accuracy of potential distribution maps could help to define better suitable areas for species protection and reintroduction.

Intermediate and premutation FMR1 alleles in women with occult primary ovarian insufficiency.

OBJECTIVE: To compare the prevalence of intermediate and premutation FMR1 alleles in women with occult primary ovarian insufficiency (oPOI) and in controls. DESIGN: Observational study. SETTING: Division of Infertility and Service of Genetic Medicine, Geneva University Hospitals. PATIENT(S): The study group consisted of 27 infertile women with oPOI referred by infertility specialists for FMR1 testing in 2005-6 because of unexplained poor response to controlled ovarian hyperstimulation or altered hormonal profiles. The control group consisted of 32 women undergoing genetic testing for conditions unrelated to mental retardation or ovarian function. The DNA samples were anonymized. INTERVENTION(S): In the study group, data were collected concerning reproductive/family history, hormonal markers, possible fertility treatment outcomes, and results of karyotype and FMR1 testing. In the control group, FMR1 gene testing was done. The only clinical data available in controls were sex and indication for genetic testing. MAIN OUTCOME MEASURE(S): Distribution of FMR1 alleles. RESULT(S): Six (22%) of 27 women with oPOI had FMR1 alleles of >40 repeats (intermediate to premutation range), compared with one (3%) of 32 controls. CONCLUSION(S): These results suggest that women with oPOI might be at risk of carrying alleles in the intermediate and premutation range.

Distribution and agroclimatic characterization of potential cultivation regions of physic nut in Mexico

The purposes of this study were to determine the distribution and climatic patterns of current and future physic nut (Jatropha curcas) cultivation regions in Mexico, and to identify possible locations for in vivo germplasm banks establishment, using geographic information systems. Current climatic data were processed by Floramap software to obtain distribution maps and climatic patterns of regions where wild physic nuts could be found. DIVA-GIS software analyzed current climatic data (Worldclim model) and climatic data generated by CCM3 model to identify current and future physic nut cultivation regions, respectively. The distribution map showed that physic nut was present in most of the tropical and subtropical areas of Mexico, which corresponded to three agroclimatic regions. Climate types were Aw2, Aw1, and Bs1, for regions 1, 2 and 3, respectively. Nontoxic genotypes were associated with region 2, and toxic genotypes were associated with regions 1 and 3. According to the current and future cultivation regions identified, the best suitable ones to establish in vivo germplasm collections were the coast of Michoacán and the Isthmus of Tehuantepec, located among the states of Veracruz, Oaxaca and Chiapas.

Wave-height hazard analysis in Eastern Coast of Spain : Bayesian approach using generalized Pareto distribution

Standard practice of wave-height hazard analysis often pays little attention to the uncertainty of assessed return periods and occurrence probabilities. This fact favors the opinion that, when large events happen, the hazard assessment should change accordingly. However, uncertainty of the hazard estimates is normally able to hide the effect of those large events. This is illustrated using data from the Mediterranean coast of Spain, where the last years have been extremely disastrous. Thus, it is possible to compare the hazard assessment based on data previous to those years with the analysis including them. With our approach, no significant change is detected when the statistical uncertainty is taken into account. The hazard analysis is carried out with a standard model. Time-occurrence of events is assumed Poisson distributed. The wave-height of each event is modelled as a random variable which upper tail follows a Generalized Pareto Distribution (GPD). Moreover, wave-heights are assumed independent from event to event and also independent of their occurrence in time. A threshold for excesses is assessed empirically. The other three parameters (Poisson rate, shape and scale parameters of GPD) are jointly estimated using Bayes' theorem. Prior distribution accounts for physical features of ocean waves in the Mediterranean sea and experience with these phenomena. Posterior distribution of the parameters allows to obtain posterior distributions of other derived parameters like occurrence probabilities and return periods. Predictives are also available. Computations are carried out using the program BGPE v2.0

Effects of sample size on the performance of species distribution models

A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. Unfortunately, the amount of data available is limited for many taxa and regions, making it essential to quantify the sensitivity of these algorithms to sample size. This is the first study to address this need by rigorously evaluating a broad suite of algorithms with independent presence-absence data from multiple species and regions. We evaluated predictions from 12 algorithms for 46 species (from six different regions of the world) at three sample sizes (100, 30, and 10 records). We used data from natural history collections to run the models, and evaluated the quality of model predictions with area under the receiver operating characteristic curve (AUC). With decreasing sample size, model accuracy decreased and variability increased across species and between models. Novel modelling methods that incorporate both interactions between predictor variables and complex response shapes (i.e. GBM, MARS-INT, BRUTO) performed better than most methods at large sample sizes but not at the smallest sample sizes. Other algorithms were much less sensitive to sample size, including an algorithm based on maximum entropy (MAXENT) that had among the best predictive power across all sample sizes. Relative to other algorithms, a distance metric algorithm (DOMAIN) and a genetic algorithm (OM-GARP) had intermediate performance at the largest sample size and among the best performance at the lowest sample size. No algorithm predicted consistently well with small sample size (n < 30) and this should encourage highly conservative use of predictions based on small sample size and restrict their use to exploratory modelling.

A multi-temporal approach to model endangered species distribution in Europe: the case of the Eurasian otter in Italy

We analysed the relationship between changes in land cover patterns and the Eurasian otter occurrence over the course of about 20 years (1985-2006) using multi-temporal Species Distribution Models (SDMs). The study area includes five river catchments covering most of the otter's Italian range. Land cover and topographic data were used as proxies of the ecological requirements of the otter within a 300-m buffer around river courses. We used species presence, pseudo-absence data, and environmental predictors to build past (1985) and current (2006) SDMs by applying an ensemble procedure through the BIOMOD modelling package. The performance of each model was evaluated by measuring the area under the curve (AUC) of the receiver-operating characteristic (ROC). Multi-temporal analyses of species distribution and land cover maps were performed by comparing the maps produced for 1985 and 2006. The ensemble procedure provided a good overall modelling accuracy, revealing that elevation and slope affected the otter's distribution in the past; in contrast, land cover predictors, such as cultivations and forests, were more important in the present period. During the transition period, 20.5% of the area became suitable, with 76% of the new otter presence data being located in these newly available areas. The multi-temporal analysis suggested that the quality of otter habitat improved in the last 20 years owing to the expansion of forests and to the reduction of cultivated fields in riparian belts. The evidence presented here stresses the great potential of riverine habitat restoration and environmental management for the future expansion of the otter in Italy

Modelling of a Hydrogen Catalytic Recombiner for Nuclear Power Plant Containment Studies; Case: Siemens FR90/1-150 Recombiner in TONUS OD Code

Ydinvoimalaitokset on suunniteltu ja rakennettu niin, että niillä on kyky selviytyä erilaisista käyttöhäiriöistä ja onnettomuuksista ilman laitoksen vahingoittumista sekä väestön ja ympäristön vaarantumista. On erittäin epätodennäköistä, että ydinvoimalaitosonnettomuus etenee reaktorisydämen vaurioitumiseen asti, minkä seurauksena sydänmateriaalien hapettuminen voi tuottaa vetyä. Jäädytyspiirin rikkoutumisen myötä vety saattaa kulkeutua ydinvoimalaitoksen suojarakennukseen, jossa se voi muodostaa palavan seoksen ilman hapen kanssa ja palaa tai jopa räjähtää. Vetypalosta aiheutuvat lämpötila- ja painekuormitukset vaarantavat suojarakennuksen eheyden ja suojarakennuksen sisällä olevien turvajärjestelmien toimivuuden, joten tehokas ja luotettava vedynhallintajärjestelmä on tarpeellinen. Passiivisia autokatalyyttisiä vetyrekombinaattoreita käytetäänyhä useammissa Euroopan ydinvoimaitoksissa vedynhallintaan. Nämä rekombinaattorit poistavat vetyä katalyyttisellä reaktiolla vedyn reagoidessa katalyytin pinnalla hapen kanssa muodostaen vesihöyryä. Rekombinaattorit ovat täysin passiivisiaeivätkä tarvitse ulkoista energiaa tai operaattoritoimintaa käynnistyäkseen taitoimiakseen. Rekombinaattoreiden käyttäytymisen tutkimisellatähdätään niiden toimivuuden selvittämiseen kaikissa mahdollisissa onnettomuustilanteissa, niiden suunnittelun optimoimiseen sekä niiden optimaalisen lukumäärän ja sijainnin määrittämiseen suojarakennuksessa. Suojarakennuksen mallintamiseen käytetään joko keskiarvoistavia ohjelmia (Lumped parameter (LP) code), moniulotteisia virtausmalliohjelmia (Computational Fluid Dynamics, CFD) tai näiden yhdistelmiä. Rekombinaattoreiden mallintaminen on toteutettu näissä ohjelmissa joko kokeellisella, teoreettisella tai yleisellä (eng. Global Approach) mallilla. Tämä diplomityö sisältää tulokset TONUS OD-ohjelman sisältämän Siemens FR90/1-150 rekombinaattorin mallin vedynkulutuksen tarkistuslaskuista ja TONUS OD-ohjelmalla suoritettujen laskujen tulokset Siemens rekombinaattoreiden vuorovaikutuksista. TONUS on CEA:n (Commissariat à 1'En¬ergie Atomique) kehittämä LP (OD) ja CFD -vetyanalyysiohjelma, jota käytetään vedyn jakautumisen, palamisenja detonaation mallintamiseen. TONUS:sta käytetään myös vedynpoiston mallintamiseen passiivisilla autokatalyyttisillä rekombinaattoreilla. Vedynkulutukseen vaikuttavat tekijät eroteltiin ja tutkittiin yksi kerrallaan. Rekombinaattoreiden vuorovaikutuksia tutkittaessa samaan tilavuuteen sijoitettiin eri kokoisia ja eri lukumäärä rekombinaattoreita. Siemens rekombinaattorimalli TONUS OD-ohjelmassa laskee vedynkulutuksen kuten oletettiin ja tulokset vahvistavat TONUS OD-ohjelman fysikaalisen laskennan luotettavuuden. Mahdollisia paikallisia jakautumia tutkitussa tilavuudessa ei voitu havaita LP-ohjelmalla, koska se käyttäälaskennassa suureiden tilavuuskeskiarvoja. Paikallisten jakautumien tutkintaan tarvitaan CFD -laskentaohjelma.