Augmented reality in sport scenarios using cameras mounted on a tripod

[ES] In this paper we address the problem of inserting virtual content in a video sequence. The method we propose uses just image information. We perform primitive tracking, camera calibration, real and virtual camera synchronisation and finally rendering to insert the virtual content in the real video sequence. To simplify the calibration step we assume that cameras are mounted on a tripod (which is a common situation in practise). The primitive tracking procedure, which uses lines and circles as primitives, is performed by means of a CART (Classification and Regression Tree). Finally, the virtual and real camera synchronisation and rendering is performed using functions of OpenGL (Open Graphic Library). We have applied the method proposed to sport event scenarios, specifically, soccer matches. In order to illustrate its performance, it has been applied to real HD (High Definition) video sequences. The quality of the proposed method is validated by inserting virtual elements in such HD video sequence.

CART application to image primitives tracking

[EN] [EN] In this paper we present a new method for image primitives tracking based on a CART (Classification and Regression Tree). Primitives tracking procedure uses lines and circles as primitives. We have applied the proposed method to sport event scenarios, specifically, soccer matches. We estimate CART parameters using a learning procedure based on RGB image channels. In order to illustrate its performance, it has been applied to real HD (High Definition) video sequences and some numerical experiments are shown. The quality of the primitives tracking with the decision tree is validated by the percentage error rates obtained and the comparison with other techniques as a morphological method. We also present applications of the proposed method to camera calibration and graphic object insertion in real video sequences.

Zur Evolution des Cytoskeletts beim Sibirischen Stör Acipenser baeri

Im Rahmen meiner Arbeit wurden erstmals die Intermediärfilament-Proteine (IF-Proteine) des Sibirischen Störs Acipenser baeri (Strahlenflosser, Knorpelganoid) kloniert und sequenziert. Aus einer cDNA-Bank konnten die Sequenzen von 13 IF-Proteine gewonnen werden. Von insgesamt zehn Keratinen codieren sieben für Typ I-Keratine und drei für Typ II. Zusätzlich konnten noch Desmin, Vimentin und ein Lamin identifiziert werden. Je einem Typ I- (K13) und einem Typ-II-Keratin (K2) fehlen wenige Aminosäuren in der Head-Domäne.Cytoskelett-Präparationen aus Epidermis, Mitteldarm, Magen und Kieme wurden mittels 2D-PAGE aufgetrennt. Durch Einsatz des CKBB-Test und Immunoblots wurden die verschiedenen Typ I und II-Keratine sowie Desmin und Vimentin identifiziert. Die gewebsspezifische Expression der Keratine ermöglichte zumeist ihre Einteilung in 'E' (epidermal) und 'S' ('simple epithelial').Die MALDI-MS-Analyse einer 2D-PAGE-Koelektrophorese von Seitenflosse und Mitteldarm zeigte, daß die 34 vorhandenen Proteinflecke auf nur 13 verschiedene IF-Proteine zurückgehen. Neun dieser Flecke konnten Sequenzen zugewiesen werden. Zusammen mit den verbleibenden vier Proteinflecken ergeben sich für den Stör nunmehr insgesamt 17 bekannte IF-Proteine. Von drei biochemisch identifizierten IS-Keratinen kommt eines nur im Mitteldarm vor und nur einem konnte eine Sequenz zugeordnet werden (K18). Dem einzigen Typ IIS-Keratin konnte keine Sequenz zugeordnet werden, wahrscheinlich handelt es sich um dabei um das K8-Orthologe. Jedem der fünf Typ IE-Proteine konnte eine Sequenz zugeordnet werden (K10 bis K14), ebenso wie dem einzigen identifizierten Typ IIE-Keratin (K2). Von den Typ III-Proteinen wurden Desmin und Vimentin ihren Proteinflecken zugeordnet. Die nicht zugeordnete Sequenz aba-k1 codiert möglicherweise für ein IIE-Keratin, während aba-k15 vermutlich die Sequenz für ein IE-Keratin enthält. Bei den Proteinflecken, denen eine Sequenz zugeordnet werden konnten, kann für Aba-K2 die Zugehörigkeit zum IIE-Typ angenommen werden, während es sich bei Aba-K10 wahrscheinlich um ein IE-Keratin handelt.Durch Datenbankvergleiche und molekulare Stammbäume konnte die Zugehörigkeit der identifizierten Lamin-Sequenz zum B3-Subtyp der Vertebraten gezeigt werden.Die Daten der Biochemie und indirekten Immunfluoreszenzmikroskopie zeigen, daß Keratine in Epithelien und Vimentin in mesenchymalen Geweben vorkommen. Es existieren starke Hinweise, daß im letzten Gewebetyp Keratine auch koexprimiert werden. Desmin kommt in großen Mengen im Magen und im Mitteldarm vor und stellt dort das prominenteste Protein.Mit den gewonnenen Sequenzdaten wurden molekulare Stammbäume und Sequenzidentitäten berechnet. Die daraus resultierenden Konsequenzen für die Verwandtschaftsverhältnisse der verschiedenen IF-Proteine sowie der Wirbeltiere werden diskutiert.

Il monitoraggio suolo-pianta per la valutazione dell'inquinamento da metalli pesanti nell'ambiente urbano

Il lavoro di tesi è incentrato sulla valutazione del degrado del suolo dovuto a fenomeni di inquinamento da metalli pesanti aerodispersi, ovvero apportati al suolo mediante deposizioni atmosferiche secche ed umide, in ambiente urbano. Lo scopo della ricerca è legato principalmente alla valutazione dell’efficienza del metodo di monitoraggio ideato che affianca al campionamento e all’analisi pedologica l’utilizzo di bioindicatori indigeni, quali il muschio, il cotico erboso, le foglie di piante arboree e il materiale pulverulento depositatosi su di esse. Una semplice analisi pedologica infatti non permette di discriminare la natura dei contaminanti in esso ritrovati. I metalli pesanti possono raggiungere il suolo attraverso diverse vie. In primo luogo questi elementi in traccia si trovano naturalmente nei suoi; ma numerose sono le fonti antropiche: attività industriali, traffico veicolare, incenerimento dei rifiuti, impianti di riscaldamento domestico, pratiche agricole, utilizzo di acque con bassi requisiti di qualità, ecc. Questo fa capire come una semplice analisi del contenuto totale o pseudo - totale di metalli pesanti nel suolo non riesca a rispondere alla domanda su quale si la fonte di provenienza di queste sostanze. Il metodo di monitoraggio integrato suolo- pianta è stato applicato a due diversi casi di studio. Il primo denominato “Progetto per il monitoraggio e valutazione delle concentrazioni in metalli pesanti e micro elementi sul sistema suolo - pianta in aree urbane adibite a verde pubblico dell’Emilia – Romagna” ha permesso di valutare l’insorgenza di una diminuzione della qualità dell’ecosistema parco urbano causata dalla ricaduta di metalli pesanti aerotrasportati, in tre differenti realtà urbane dell’Emilia Romagna: le città di Bologna, Ferrara e Cesena. Le città presentano caratteristiche pedologiche, ambientali ed economico-sociali molto diverse tra loro. Questo ha permesso di studiare l’efficienza del metodo su campioni di suolo e di vegetali molto diversi per quanto riguarda le aliquote di metalli pesanti riscontrate. Il secondo caso di studio il “Monitoraggio relativo al contenuto in metalli pesanti e microelementi nel sistema acqua-suolo-pianta delle aree circostanti l’impianto di termovalorizzazione e di incenerimento del Frullo (Granarolo dell’Emilia - BO)” è stato invece incentrato sulla valutazione della qualità ambientale delle aree circostanti l’inceneritore. Qui lo scenario si presentava più omogeneo dal punto di vista pedologico rispetto al caso di studio precedente, ma molto più complesso l’ecosistema di riferimento (urbano, extra-urbano ed agricolo). Seppure il metodo suolo-pianta abbia permesso di valutare gli apporti di metalli pesanti introdotti per via atmosferica, non è stato possibile imputarne l’origine alle sole emissioni prodotte dall’inceneritore.

Parametric Sensitivity Analysis of the Most Recent Computational Models of Rabbit Cardiac Pacemaking

The cellular basis of cardiac pacemaking activity, and specifically the quantitative contributions of particular mechanisms, is still debated. Reliable computational models of sinoatrial nodal (SAN) cells may provide mechanistic insights, but competing models are built from different data sets and with different underlying assumptions. To understand quantitative differences between alternative models, we performed thorough parameter sensitivity analyses of the SAN models of Maltsev & Lakatta (2009) and Severi et al (2012). Model parameters were randomized to generate a population of cell models with different properties, simulations performed with each set of random parameters generated 14 quantitative outputs that characterized cellular activity, and regression methods were used to analyze the population behavior. Clear differences between the two models were observed at every step of the analysis. Specifically: (1) SR Ca2+ pump activity had a greater effect on SAN cell cycle length (CL) in the Maltsev model; (2) conversely, parameters describing the funny current (If) had a greater effect on CL in the Severi model; (3) changes in rapid delayed rectifier conductance (GKr) had opposite effects on action potential amplitude in the two models; (4) within the population, a greater percentage of model cells failed to exhibit action potentials in the Maltsev model (27%) compared with the Severi model (7%), implying greater robustness in the latter; (5) confirming this initial impression, bifurcation analyses indicated that smaller relative changes in GKr or Na+-K+ pump activity led to failed action potentials in the Maltsev model. Overall, the results suggest experimental tests that can distinguish between models and alternative hypotheses, and the analysis offers strategies for developing anti-arrhythmic pharmaceuticals by predicting their effect on the pacemaking activity.

Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease

Advances in biomedical signal acquisition systems for motion analysis have led to lowcost and ubiquitous wearable sensors which can be used to record movement data in different settings. This implies the potential availability of large amounts of quantitative data. It is then crucial to identify and to extract the information of clinical relevance from the large amount of available data. This quantitative and objective information can be an important aid for clinical decision making. Data mining is the process of discovering such information in databases through data processing, selection of informative data, and identification of relevant patterns. The databases considered in this thesis store motion data from wearable sensors (specifically accelerometers) and clinical information (clinical data, scores, tests). The main goal of this thesis is to develop data mining tools which can provide quantitative information to the clinician in the field of movement disorders. This thesis will focus on motor impairment in Parkinson's disease (PD). Different databases related to Parkinson subjects in different stages of the disease were considered for this thesis. Each database is characterized by the data recorded during a specific motor task performed by different groups of subjects. The data mining techniques that were used in this thesis are feature selection (a technique which was used to find relevant information and to discard useless or redundant data), classification, clustering, and regression. The aims were to identify high risk subjects for PD, characterize the differences between early PD subjects and healthy ones, characterize PD subtypes and automatically assess the severity of symptoms in the home setting.

Untersuchungen zum Austausch von Stickstoffdioxid (NO 2) zwischen Pflanzen und Atmosphäre

Der Austausch der NO2-Konzentration zwischen der Atmosphäre und verschiedenen Bäumen (Betula pendula, Fagus sylvatica, Quercus robur, Quercus ilex und Pinus sylvestris) wurde mit einer Dynamischen Küvette gemessen. Die NO2-Konzentrationen wurden mit einem CLD 780 TR Analysator in Verbindung mit einem PLC 762 gemessen. Die experimentellen Untersuchungen wurden im Dunkeln und unter zwei Lichtintensitäts-Niveaus (PAR, 450 und 900 µmol m-2 s-1) und sechs verschiedene NO2-Konzentrationen zwischen 0 - 5.0 ppb durchgeführt. Der stomatäre Einfluss wurde unter Einsatz des Hormons Abscisinsäure untersucht. Die Umgebungsparameter (Lufttemperatur und Luftfeuchtigkeit) wurden konstant gehalten. Die Daten zeigten klar und deutlich den dominanten Einfluss der jeweiligen Baumspezies auf die NO2-Konzentrationen innerhalb der Küvette. Die Ergebnisse dieser Arbeit belegen bei allen Spezies eine lineare Abhängigkeit der NO2-Austauschrate mit der NO2-Umgebungskozentration und mit der stomatären Leitfähigkeit. Das Vorhandensein eines Kompensationspunkt wird nicht bestätigt.

Symbolic Dynamics Analysis: a new methodology for foetal heart rate variability analysis

Cardiotocography (CTG) is a widespread foetal diagnostic methods. However, it lacks of objectivity and reproducibility since its dependence on observer's expertise. To overcome these limitations, more objective methods for CTG interpretation have been proposed. In particular, many developed techniques aim to assess the foetal heart rate variability (FHRV). Among them, some methodologies from nonlinear systems theory have been applied to the study of FHRV. All the techniques have proved to be helpful in specific cases. Nevertheless, none of them is more reliable than the others. Therefore, an in-depth study is necessary. The aim of this work is to deepen the FHRV analysis through the Symbolic Dynamics Analysis (SDA), a nonlinear technique already successfully employed for HRV analysis. Thanks to its simplicity of interpretation, it could be a useful tool for clinicians. We performed a literature study involving about 200 references on HRV and FHRV analysis; approximately 100 works were focused on non-linear techniques. Then, in order to compare linear and non-linear methods, we carried out a multiparametric study. 580 antepartum recordings of healthy fetuses were examined. Signals were processed using an updated software for CTG analysis and a new developed software for generating simulated CTG traces. Finally, statistical tests and regression analyses were carried out for estimating relationships among extracted indexes and other clinical information. Results confirm that none of the employed techniques is more reliable than the others. Moreover, in agreement with the literature, each analysis should take into account two relevant parameters, the foetal status and the week of gestation. Regarding the SDA, results show its promising capabilities in FHRV analysis. It allows recognizing foetal status, gestation week and global variability of FHR signals, even better than other methods. Nevertheless, further studies, which should involve even pathological cases, are necessary to establish its reliability.

Prokaryotic community structure in ultra-slow spreading Southwest Indian Ridge.

The Southwest Indian Ridge segment that extends between 10° and 16° E has the slowest spreading rate of any other oceanic ridge (about 8.4 mm/year). In 2013 during the expedition ANTXXIX/8 seismology, geology, microbiology, heat flow analyses were carried out. Here, no hydrothermal plumes or black smoker systems were found but the results of the survey allowed to identify areas with peculiar characteristics: Area 1 with higher heat flux bsf; Area 2 where in 2002 the presence of hydrothermal emissions was hypothesized (Bach et al., 2002); Area 3 with anomalies of methane, ammonium, sulphide and dissolved inorganic carbon in pore water sediment profiles, and recovery of fauna vents. All these aspects suggest the presence of a hydrothermal circulation. Using Illumina 16S gene tag, statistical tools and phylogenetic trees, I provided a biological proof of the presence of hydrothermal circulation in this ridge segment. At Area 3, alpha and beta diversity indexes showed similarities with those described for venting microbial communities and about 40-70% of the dominant microbial community was found phylogenetically related to clones isolated hydrothermal-driven environments. Although the majority of chemosynthetic environment related taxa were not classified like autotrophic prokaryotes, some of them are key taxa in support of the presence of hydrothermal circulation, since they are partners of consortia or mediate specific reaction typically described for hydrothermal and seep environments, or are specialized organisms in exploiting labile organic substrates. Concluding, these results are remarkable because support the importance of ultra slow spreading ridge systems in contributing to global geochemical cycles and larval dispersion of vent fauna.

The mammary gland vasculature revisited

Concomitant with the extensive growth and differentiation of the mammary epithelium during pregnancy and lactation, and epithelial involution after weaning, the vasculature of the mammary gland undergoes repeated cycles of expansion and regression. Vascular expansion is effected by sprouting angiogenesis, intussusception and conceivably also vasculogenesis. The capacity of the epithelial cells to stimulate vascular growth and differentiation is dependent on the constellation of systemic and local hormones and growth factors as well as the changing demands for oxygenation and nutrient supply. This results in the release of angiogenic factors which stimulate endothelial cell growth and regulate vascular architecture. In contrast to the angiogenic phase of the mammary gland cycle, little is known about the control of vascular regression although this would possibly offer new insights into therapeutic possibilities against breast cancer. In this review we summarize knowledge regarding the mechanisms regulating the vasculature of the mammary gland and delineate the importance of the vasculature in the attainment of organ function. In addition, we discuss the angiogenic mechanisms observed during mammary carcinogenesis and their consequences for breast cancer therapy.

Computation of discrete cosine transform using Clenshaw's recurence formula

Clenshaw’s recurrenee formula is used to derive recursive algorithms for the discrete cosine transform @CT) and the inverse discrete cosine transform (IDCT). The recursive DCT algorithm presented here requires one fewer delay element per coefficient and one fewer multiply operation per coeflident compared with two recently proposed methods. Clenshaw’s recurrence formula provides a unified development for the recursive DCT and IDCT algorithms. The M v e al gorithms apply to arbitrary lengtb algorithms and are appropriate for VLSI implementation.

A prediction model for assessing residential radon concentration in Switzerland

Indoor radon is regularly measured in Switzerland. However, a nationwide model to predict residential radon levels has not been developed. The aim of this study was to develop a prediction model to assess indoor radon concentrations in Switzerland. The model was based on 44,631 measurements from the nationwide Swiss radon database collected between 1994 and 2004. Of these, 80% randomly selected measurements were used for model development and the remaining 20% for an independent model validation. A multivariable log-linear regression model was fitted and relevant predictors selected according to evidence from the literature, the adjusted R², the Akaike's information criterion (AIC), and the Bayesian information criterion (BIC). The prediction model was evaluated by calculating Spearman rank correlation between measured and predicted values. Additionally, the predicted values were categorised into three categories (50th, 50th-90th and 90th percentile) and compared with measured categories using a weighted Kappa statistic. The most relevant predictors for indoor radon levels were tectonic units and year of construction of the building, followed by soil texture, degree of urbanisation, floor of the building where the measurement was taken and housing type (P-values <0.001 for all). Mean predicted radon values (geometric mean) were 66 Bq/m³ (interquartile range 40-111 Bq/m³) in the lowest exposure category, 126 Bq/m³ (69-215 Bq/m³) in the medium category, and 219 Bq/m³ (108-427 Bq/m³) in the highest category. Spearman correlation between predictions and measurements was 0.45 (95%-CI: 0.44; 0.46) for the development dataset and 0.44 (95%-CI: 0.42; 0.46) for the validation dataset. Kappa coefficients were 0.31 for the development and 0.30 for the validation dataset, respectively. The model explained 20% overall variability (adjusted R²). In conclusion, this residential radon prediction model, based on a large number of measurements, was demonstrated to be robust through validation with an independent dataset. The model is appropriate for predicting radon level exposure of the Swiss population in epidemiological research. Nevertheless, some exposure misclassification and regression to the mean is unavoidable and should be taken into account in future applications of the model.

Eastern Temperate Forests

Human activity in the last century has led to a substantial increase in nitrogen (N) emissions and deposition. This N deposition has reached a level that has caused or is likely to cause alterations to the structure and function of many ecosystems across the United States. One approach for quantifying the level of pollution that would be harmful to ecosystems is the critical loads approach. The critical load is dei ned as the level of a pollutant below which no detrimental ecological effect occurs over the long term according to present knowledge. The objective of this project was to synthesize current research relating atmospheric N deposition to effects on terrestrial and aquatic ecosystems in the United States and to identify empirical critical loads for atmospheric N deposition. The receptors that we evaluated included freshwater diatoms, mycorrhizal fungi and other soil microbes, lichens, herbaceous plants, shrubs, and trees. The main responses reported fell into two categories: (1) biogeochemical, and (2) individual species, population, and community responses. The range of critical loads for nutrient N reported for U.S. ecoregions, inland surface waters, and freshwater wetlands is 1 to 39 kg N ha-1 y-1. This broad range spans the range of N deposition observed over most of the country. The empirical critical loads for N tend to increase in the following sequence for different life forms: diatoms, lichens and bryophytes, mycorrhizal fungi, herbaceous plants and shrubs, trees. The critical loads approach is an ecosystem assessment tool with great potential to simplify complex scientii c information and effectively communicate with the policy community and the public. This synthesis represents the i rst comprehensive assessment of empirical critical loads of N for ecoregions across the United States.

Promoting Biodiversity in Forest Ecosystems Using Ecological Forestry

A subset of forest management techniques, termed ecological forestry, have been developed in order to produce timber and maintain the ecological integrity of forest communities through practices that more closely mirror natural disturbance regimes. Even though alternative methods have been described and tested, these approaches still need to be established and analyzed in a variety of geographic regions in order to calibrate and measure effectiveness across different forest types. The primary objective of this research project was to assess whether group selection combined with legacy-tree retention could enhance mid-tolerant tree recruitment in a late-successional northern hardwood forest. In order to evaluate a novel alternative regeneration technique, 49 group-selection openings in three size classes were created in 2003 with a biological legacy tree retained in the center of each opening. Twenty reference sites, managed using single-tree selection, were also analyzed for comparison. The specific goals of the project were to: 1) determine the fate and persistence of the openings and legacy trees 2) assess the understory response of the group-selection openings versus the single-tree selection reference sites, and 3) evaluate the spatial patterns of yellow birch (Betula alleghaniensis Britt.) and eastern hemlock (Tsuga canadensis (L.) Carr.) in the group-selection openings. The results from 8-9 years post-study implementation and the changes that have occurred between 2004/5 and 2011/12 are discussed. The alternative regeneration technique developed and assessed in this study has the potential to enrich biodiversity in a range of forest types. Projected group-selection opening persistence rates ranged from 41-91 years. Openings from 500-1500 m2 are predicted to persist long enough for mid-tolerant tree recruitment. The legacy trees responded well to release and experienced a low mortality rate. Yellow birch (the primary shade mid-tolerant tree in the study area) densities increased with opening size. Maples surpassed all other species in abundance. In the sapling layer, sugar maple (Acer saccharum Marsh.) was 2 to over 300 times more abundant in the group-selection openings and 2 to 3 times more abundant in the references sites than all other species present. Red maple (Acer rubrum L.) was the second most abundant species present in the openings and reference sites. Spatial patterns of yellow birch and eastern hemlock in the openings were mostly aggregated. The southern edges of the largest openings contained the highest magnitude of yellow birch and eastern hemlock per unit area. Continued monitoring and additional treatments will likely be necessary in order to ensure underrepresented species successfully reach maturity.

Oral melatonin reduces blood coagulation activity: a placebo-controlled study in healthy young men

Melatonin has previously been suggested to affect hemostatic function but studies on the issue are scant. We hypothesized that, in humans, oral administration of melatonin is associated with decreased plasma levels of procoagulant hemostatic measures compared with placebo medication and that plasma melatonin concentration shows an inverse association with procoagulant measures. Forty-six healthy men (mean age 25 +/- 4 yr) were randomized, single-blinded, to either 3 mg of oral melatonin (n = 25) or placebo medication (n = 21). One hour thereafter, levels of melatonin, fibrinogen, and D-dimer as well as activities of coagulation factor VII (FVII:C) and VIII (FVIII:C) were measured in plasma. Multivariate analysis of covariance and regression analysis controlled for age, body mass index, mean arterial blood pressure, heart rate, and norepinephrine plasma level. Subjects on melatonin had significantly lower mean levels of FVIII:C (81%, 95% CI 71-92 versus 103%, 95% CI 90-119; P = 0.018) and of fibrinogen (1.92 g/L, 95% CI 1.76-2.08 versus 2.26 g/L, 95% CI 2.09-2.43; P = 0.007) than those on placebo explaining 14 and 17% of the respective variance. In all subjects, increased plasma melatonin concentration independently predicted lower levels of FVIII:C (P = 0.037) and fibrinogen (P = 0.022) explaining 9 and 11% of the respective variance. Melatonin medication and plasma concentration were not significantly associated with FVII:C and D-dimer levels. A single dose of oral melatonin was associated with lower plasma levels of procoagulant factors 60 min later. There might be a dose-response relationship between the plasma concentration of melatonin and coagulation activity.