Sierpinski curve Julia sets for quadratic rational maps

We investigate under which dynamical conditions the Julia set of a quadratic rational map is a Sierpiński curve.

Seasonal dry deposition and canopy leaching of base cations in a subtropical evergreen mixed forest, China

Abstract

Microsatellite polymorphism in the edaphic spruce, Picea asperata, originating from the mountains of China

Abstract

Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?

We propose a multivariate approach to the study of geographic species distribution which does not require absence data. Building on Hutchinson's concept of the ecological niche, this factor analysis compares, in the multidimensional space of ecological variables, the distribution of the localities where the focal species was observed to a reference set describing the whole study area. The first factor extracted maximizes the marginality of the focal species, defined as the ecological distance between the species optimum and the mean habitat within the reference area. The other factors maximize the specialization of this focal species, defined as the ratio of the ecological variance in mean habitat to that observed for the focal species. Eigenvectors and eigenvalues are readily interpreted and can be used to build habitat-suitability maps. This approach is recommended in Situations where absence data are not available (many data banks), unreliable (most cryptic or rare species), or meaningless (invaders). We provide an illustration and validation of the method for the alpine ibex, a species reintroduced in Switzerland which presumably has not yet recolonized its entire range.

Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.

Logistics Management in China's Development Zones - Finnish Metal Industry Perspective

Alikehittynyt infrastruktuuri, tiukat säädökset ja säädösten tulkitseminen, sekä monimutkaiset verotuskäytännöt ovat aiheuttaneet ongelmia suomalaisille Alikehittynyt infrastruktuuri, tiukat säädökset ja säädösten tulkitseminen, sekä monimutkaiset verotuskäytännöt ovat aiheuttaneet ongelmia suomalaisille yrityksille Kiinassa. Tutkimuksen perusteella yritykset eivät pysty vaikuttamaan infrastruktuurin kehittymiseen tai säädösten implementointiin, mutta ylläpitämällä suhteita ja valitsemalla oikeat partnerit yritykset pystyvät hallitsemaan ongelma-alueitaan. Etenkin ulkomaalaisille yrityksille oikean logistiikkaoperaattorin valinta on tärkeätä ja huomioon ottaen palvelutason, kulttuuritaustan sekä kansainväliset operaatiot on ulkomaalaisten yritysten tehokkaampaa käyttää kansainvälisiä operaattoreita kuin paikallisia toimijoita, jotkaovat usein halvempia, mutta eivät pysty toimimaan kansainvälisellä tasolla. Vientiin keskittyneiden yritysten tulisi sijoittua vapaakauppa-alueille tai vientiin painottuneille teollisuusalueille. Kyseisillä alueilla liiketoiminta mannermaahan on rajoitettu, eivätkä alueet täten sovellu yrityksille, jotka ovat keskittyneet Kiinan markkinoille. Paikallisesti operoivien yritysten tulisi sijoittua normaaleihin teollisuuspuistoihin ja käyttää tullin valvomia varastoja tukemaan kansainvälisiä toimintojaan.Tulisi myös muistaa etteivät kiinalaiset teollisuuspuistot täytä kansainvälisiä kriteerejä, joten säädöksiin on tärkeätä tutustua huolella jamielipiteitä kerätä toisilta yrityksiltä. Kiinassa merkittävimmät logistiikkaongelmat ilmenevät tuonnin ja viennin yhteydessä, jolloin säädökset ja toimintamallit ovat kontrolloidumpia. Etenkin tullaus- ja arvonlisävero ongelmat liittyvät kiinteästi tuonti- ja vientiprosessiin. Tutkimuksen tulokset osoittivat, että tullausprosessi tehostuu yhteistyön ja koulutuksen kautta, mutta arvonlisäverosta aiheutuvien kustannusten minimointi vaatii logistiikkapuistojen käyttöä. Mikäli asiakas haluaa tehdä tullauksen kotiprovinssissaan tai yritys tekee kauppaa ALV -vapautettujen yritysten kanssa, tulisi logistiikkapuistojen käyttöä lisätä. Käytettäessä logistiikkapuistoja yritykset välttävät tuotteiden kuljetukset Hongkongiin jatakaisin säästäen huomattavasti kustannuksissa ja toimitusajoissa. Logistiikkapuistoja on myös mahdollista käyttää ratkaisuna kasvaviin ja viivästyviin ALV palautuksiin. Tutkimuksen tulosten mukaan toimintaympäristö ja vientipainotteinen valmistus ohjaavat 3PL yritysten valintaa ja vaihtoehtoisten logistiikkapalvelujen implementointia. Etabloiduttaessavapaakauppa-alueille vientiin ja tuontiin liittyvät ongelmatekijät vahvistuvat sekä rajoitukset kiinan liiketoimintaan kasvavat, mikä tekee yhteistyönkansainvälisten logistiikkaoperaattoreiden kanssa välttämättömäksi ja kannustaa hyödyntämään logistiikkapuistoja.

External validation of the ASTRAL score to predict 3- and 12-month functional outcome in the China National Stroke Registry.

BACKGROUND AND PURPOSE: The ASTRAL score was recently introduced as a prognostic tool for acute ischemic stroke. It predicts 3-month outcome reliably in both the derivation and the validation European cohorts. We aimed to validate the ASTRAL score in a Chinese stroke population and moreover to explore its prognostic value to predict 12-month outcome. METHODS: We applied the ASTRAL score to acute ischemic stroke patients admitted to 132 study sites of the China National Stroke Registry. Unfavorable outcome was assessed as a modified Rankin Scale score >2 at 3 and 12 months. Areas under the curve were calculated to quantify the prognostic value. Calibration was assessed by comparing predicted and observed probability of unfavorable outcome using Pearson correlation coefficient. RESULTS: Among 3755 patients, 1473 (39.7%) had 3-month unfavorable outcome. Areas under the curve for 3 and 12 months were 0.82 and 0.81, respectively. There was high correlation between observed and expected probability of unfavorable 3- and 12-month outcome (Pearson correlation coefficient: 0.964 and 0.963, respectively). CONCLUSIONS: ASTRAL score is a reliable tool to predict unfavorable outcome at 3 and 12 months after acute ischemic stroke in the Chinese population. It is a useful tool that can be readily applied in clinical practice to risk-stratify acute stroke patients.

Self-Organising Maps and Correlation Analysis as a Tool to Explore Patterns in Excitation-Emission Matrix Data Sets and to Discriminate Dissolved Organic Matter Fluorescence Components

Dissolved organic matter (DOM) is a complex mixture of organic compounds, ubiquitous in marine and freshwater systems. Fluorescence spectroscopy, by means of Excitation-Emission Matrices (EEM), has become an indispensable tool to study DOM sources, transport and fate in aquatic ecosystems. However the statistical treatment of large and heterogeneous EEM data sets still represents an important challenge for biogeochemists. Recently, Self-Organising Maps (SOM) has been proposed as a tool to explore patterns in large EEM data sets. SOM is a pattern recognition method which clusterizes and reduces the dimensionality of input EEMs without relying on any assumption about the data structure. In this paper, we show how SOM, coupled with a correlation analysis of the component planes, can be used both to explore patterns among samples, as well as to identify individual fluorescence components. We analysed a large and heterogeneous EEM data set, including samples from a river catchment collected under a range of hydrological conditions, along a 60-km downstream gradient, and under the influence of different degrees of anthropogenic impact. According to our results, chemical industry effluents appeared to have unique and distinctive spectral characteristics. On the other hand, river samples collected under flash flood conditions showed homogeneous EEM shapes. The correlation analysis of the component planes suggested the presence of four fluorescence components, consistent with DOM components previously described in the literature. A remarkable strength of this methodology was that outlier samples appeared naturally integrated in the analysis. We conclude that SOM coupled with a correlation analysis procedure is a promising tool for studying large and heterogeneous EEM data sets.

Mobile robot localization using sonar ranging and wlan intensity maps

 Main goal of this thesis was to implement a localization system which uses sonars and WLAN intensity maps to localize an indoor mobile robot. A probabilistic localization method, Monte Carlo Localization is used in localization. Also the theory behind probabilistic localization is explained. Two main problems in mobile robotics, path tracking and global localization, are solved in this thesis. Implemented system can achieve acceptable performance in path tracking. Global localization using WLAN received signal strength information is shown to provide good results, which can be used to localize the robot accurately, but also some bad results, which are no use when trying to localize the robot to the correct place. Main goal of solving ambiguity in office like environment is achieved in many test cases.

Clustering of grape yield maps to delineate site-specific management zones

Zonal management in vineyards requires the prior delineation of stable yield zones within the parcel. Among the different methodologies used for zone delineation, cluster analysis of yield data from several years is one of the possibilities cited in scientific literature. However, there exist reasonable doubts concerning the cluster algorithm to be used and the number of zones that have to be delineated within a field. In this paper two different cluster algorithms have been compared (k-means and fuzzy c-means) using the grape yield data corresponding to three successive years (2002, 2003 and 2004), for a ‘Pinot Noir’ vineyard parcel. Final choice of the most recommendable algorithm has been linked to obtaining a stable pattern of spatial yield distribution and to allowing for the delineation of compact and average sized areas. The general recommendation is to use reclassified maps of two clusters or yield classes (low yield zone and high yield zone) and, consequently, the site-specific vineyard management should be based on the prior delineation of just two different zones or sub-parcels. The two tested algorithms are good options for this purpose. However, the fuzzy c-means algorithm allows for a better zoning of the parcel, forming more compact areas and with more equilibrated zonal differences over time.

A note on the periodic orbits and topological entropy of graph maps

This paper deals with the relationship between the periodic orbits of continuous maps on graphs and the topological entropy of the map. We show that the topological entropy of a graph map can be approximated by the entropy of its periodic orbits.