955 resultados para Application level


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The study defines a new farm classification and identifies the arable land management. These aspects and several indicators are taken into account to estimate the sustainability level of farms, for organic and conventional regimes. The data source is Italian Farm Account Data Network (RICA) for years 2007-2011, which samples structural and economical information. An environmental data has been added to the previous one to better describe the farm context. The new farm classification describes holding by general informations and farm structure. The general information are: adopted regime and farm location in terms of administrative region, slope and phyto-climatic zone. The farm structures describe the presence of main productive processes and land covers, which are recorded by FADN database. The farms, grouped by homogeneous farm structure or farm typology, are evaluated in terms of sustainability. The farm model MAD has been used to estimate a list of indicators. They describe especially environmental and economical areas of sustainability. Finally arable lands are taken into account to identify arable land managements and crop rotations. Each arable land has been classified by crop pattern. Then crop rotation management has been analysed by spatial and temporal approaches. The analysis reports a high variability inside regimes. The farm structure influences indicators level more than regimes, and it is not always possible to compare the two regimes. However some differences between organic and conventional agriculture have been found. Organic farm structures report different frequency and geographical location than conventional ones. Also different connections among arable lands and farm structures have been identified.

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This thesis presents a possible method to calculate sea level variation using geodetic-quality Global Navigate Satellite System (GNSS) receivers. Three antennas are used: two small antennas and a choke ring one, analyzing only Global Positioning System signals. The main goal of the thesis is to test a modified configuration for antenna set up. In particular, measurements obtained tilting one antenna to face the horizon are compared to measurements obtained from antennas looking upward. The location of the experiment is a coastal environment nearby the Onsala Space Observatory in Sweden. Sea level variations are obtained using periodogram analysis of the SNR signal and compared to synthetic gauge generated from two independent tide gauges. The choke ring antenna provides poor result, with an RMS around 6 cm and a correlation coefficients of 0.89. The smaller antennas provide correlation coefficients around 0.93. The antenna pointing upward present an RMS of 4.3 cm and the one pointing the horizon an RMS of 6.7 cm. Notable variation in the statistical parameters is found when modifying the length of the interval analyzed. In particular, doubts are risen on the reliability of certain scattered data. No relation is found between the accuracy of the method and weather conditions. Possible methods to enhance the available data are investigated, and correlation coefficient above 0.97 can be obtained with small antennas when sacrificing data points. Hence, the results provide evidence of the suitability of SNR signal analysis for sea level variation in coastal environment even in the case of adverse weather conditions. In particular, tilted configurations provides comparable result with upward looking geodetic antennas. A SNR signal simulator is also tested to investigate its performance and usability. Various configuration are analyzed in combination with the periodogram procedure used to calculate the height of reflectors. Consistency between the data calculated and those received is found, and the overall accuracy of the height calculation program is found to be around 5 mm for input height below 5 m. The procedure is thus found to be suitable to analyze the data provided by the GNSS antennas at Onsala.

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La tesi in oggetto propone un algoritmo che viene incontro alla necessità di segmentare in modo regolare immagini di nevi. Si è fatto uso di metodi level set region-based in una formulazione variazionale. Tale metodo ha permesso di ottenere una segmentazione precisa, adattabile a immagini di nevi con caratteristiche molto diverse ed in tempi computazionali molto bassi.

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This work provides several policy proposals capable to strengthen the private enforcement of EU competition law in arbitration. It focuses on the procedural law aspects that are permeated by legal uncertainty and that have not yet fallen under the scrutiny of the law and economics debate. The policy proposals described herein are based on the functional approach to law and economics and aim to promote a more qualified decision making process by: adjudicators, private parties and lawmakers. The resulting framework of procedural rules would be a cost-effective policy tool that could sustain the European Commission’s effort to guarantee a workable level of competition in the EU internal market. This project aims to answer the following broad research question: which procedural rules can improve the efficiency of antitrust arbitration by decreasing litigation costs for private parties on the one hand, and by increasing private parties’ compliance with competition law on the other hand?Throughout this research project, such broad question has been developed into research sub-questions revolving around several key legal issues. The chosen sub-research questions result from a vacuum in the European enforcement system that leaves several key legal issues in antitrust arbitration unresolved. The legal framework proposed in this research project could prevent such a blurry scenario from impairing the EU private enforcement of competition law in arbitration. Therefore, our attention was triggered by those legal issues whose proposed solutions lead to relevant uncertainties and that are most suitable for a law and economics analysis.

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This work is focused on the analysis of sea–level change (last century), based mainly on instrumental observations. During this period, individual components of sea–level change are investigated, both at global and regional scales. Some of the geophysical processes responsible for current sea-level change such as glacial isostatic adjustments and current melting terrestrial ice sources, have been modeled and compared with observations. A new value of global mean sea level change based of tide gauges observations has been independently assessed in 1.5 mm/year, using corrections for glacial isostatic adjustment obtained with different models as a criterion for the tide gauge selection. The long wavelength spatial variability of the main components of sea–level change has been investigated by means of traditional and new spectral methods. Complex non–linear trends and abrupt sea–level variations shown by tide gauges records have been addressed applying different approaches to regional case studies. The Ensemble Empirical Mode Decomposition technique has been used to analyse tide gauges records from the Adriatic Sea to ascertain the existence of cyclic sea-level variations. An Early Warning approach have been adopted to detect tipping points in sea–level records of North East Pacific and their relationship with oceanic modes. Global sea–level projections to year 2100 have been obtained by a semi-empirical approach based on the artificial neural network method. In addition, a model-based approach has been applied to the case of the Mediterranean Sea, obtaining sea-level projection to year 2050.

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In my dissertation I investigated the influence of behavioral variation between and within ant colonies on group performance. In particular, I analyzed how evolution shapes behavior in response to ecological conditions, and whether within-group diversity improves productivity as suggested by theory. Our field and laboratory experiments showed that behavioral diverse groups are more productive. Different aggression levels within colonies were beneficial under competitive field situations, whereas diversity in brood care and exploratory behavior were favored in non-competitive laboratory situations. We then examined whether population density and social parasite presence shape aggression through phenotypic plasticity and/or natural selection. The importance of selection was indicated by the absence of density or parasite effects on aggression in a field manipulation. Indeed, more aggressive colonies fared better under high density and during parasite attack. When analyzing the proximate causes of individual behavioral variation, ovarian development was shown to be linked to division of labor and aggressiveness. Finally, our studies show that differences in the collective behavior can be linked to immune defense and productivity. My dissertation demonstrates that behavioral variation should be studied on multiple scales and when possible combined with physiological analyses to better understand the evolution of animal personalities in social groups.rn

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Die Nuklearmedizin ist ein modernes und effektives Werkzeug zur Erkennung und Behandlung von onkologischen Erkrankungen. Molekulare Bildgebung, die auf dem Einsatz von Radiopharmaka basiert, beinhaltet die Einzel-Photonen-Emissions-Tomographie (SPECT) und Positronenemissions¬tomographie (PET) und ermöglicht die nicht-invasive Visualisierung von Tumoren auf nano-und picomolarer Ebene.rnDerzeit werden viele neue Tracer für die genauere Lokalisierung von kleinen Tumoren und Metastasen eingeführt und hinsichtlich ihrer Eignung untersucht. Die meisten von ihnen sind Protein-basierte Biomoleküle, die die Natur selbst als Antigene für die Tumorzellen produziert. Dabei spielen Antikörper und Antikörper-Fragmente eine wichtige Rolle in der Tumor-Diagnostik und Behandlung. Die PET-Bildgebung mit Antikörpern und Antikörperfragmenten bezeichnet man als immuno-PET. Ein wichtiger Aspekt hierbei ist, dass entsprechende Radiopharmaka benötigt werden, deren Halbwertszeit mit der Halbwertszeit der Biomoleküle korreliert ist.rnIn neueren Arbeiten wird 90Nb als potenzieller Kandidat für die Anwendung in der immuno-PET vorgeschlagen. Seine Halbwertszeit von 14,6 Stunden ist geeignet für die Anwendung mit Antikörperfragmenten und einige intakten Antikörpern. 90Nb hat eine relativ hohen Anteil an Positronenemission von 53% und eine optimale Energie für die β+-Emission von 0,35 MeV, die sowohl eine hohe Qualität der Bildgebung als auch eine niedrige Aktivitätsmenge des Radionuklids ermöglicht.rnErsten grundlegende Untersuchungen zeigten: i) dass 90Nb in ausreichender Menge und Reinheit durch Protonen-Bombardierung des natürlichen Zirkonium Targets produziert, ii) aus dem Targetmaterial in entsprechender radiochemischer Reinheit isoliert und iii) zur Markierung des monoklonalen Antikörpers (Rituximab) verwendet werden kann und iv) dieser 90Nb-markierte mAb eine hohe in vitro Stabilität besitzt. Desweiteren wurde eine alternative und schnelle Abtrennungsmethode entwickelt, die es erlaubt 90Nb, mit einer geeigneten radiochemischen und radionuklidischen Reinheit für eine anschließende Markierung von Biomolekülen in einer Stunde zu aufzureinigen. Schließlich wurden erstmals 90Nb-markierte Biomolekülen in vivo untersucht. Desweiteren wurden auch Experimente durchgeführt, um den optimalen bifunktionellen Chelatbildner (BFC) für 90Niob zu finden. Mehrere BFC wurden hinsichtlich Komplexbildung mit NbV untersucht. Desferrioxamin (Df) erwies sich als geeignetster Chelator für 90Nb. Der monoklonale Antikörper Bevacizumab (Avastin®) wurde mit 90Nb markiert und eine Biodistributionsstudie und eine PET-Untersuchung durchgeführt. Alle diese Ergebnisse zeigten, dass 90Nb ein vielversprechendes Radionuklid für die Immuno-PET ist, welches sogar für weitere kommerzielle Anwendungen in der klinischen Routine geeignet zu sein scheint.rn

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After almost 10 years from “The Free Lunch Is Over” article, where the need to parallelize programs started to be a real and mainstream issue, a lot of stuffs did happened: • Processor manufacturers are reaching the physical limits with most of their approaches to boosting CPU performance, and are instead turning to hyperthreading and multicore architectures; • Applications are increasingly need to support concurrency; • Programming languages and systems are increasingly forced to deal well with concurrency. This thesis is an attempt to propose an overview of a paradigm that aims to properly abstract the problem of propagating data changes: Reactive Programming (RP). This paradigm proposes an asynchronous non-blocking approach to concurrency and computations, abstracting from the low-level concurrency mechanisms.

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Sea level variation is one of the parameters directly related to climate change. Monitoring sea level rise is an important scientific issue since many populated areas of the world and megacities are located in low-lying regions. At present, sea level is measured by means of two techniques: the tide gauges and the satellite radar altimetry. Tide gauges measure sea-level relatively to a ground benchmark, hence, their measurements are directly affected by vertical ground motions. Satellite radar altimetry measures sea-level relative to a geocentric reference and are not affected by vertical land motions. In this study, the linear relative sea level trends of 35 tide gauge stations distributed across the Mediterranean Sea have been computed over the period 1993-2014. In order to extract the real sea-level variation, the vertical land motion has been estimated using the observations of available GPS stations and removed from the tide gauges records. These GPS-corrected trends have then been compared with satellite altimetry measurements over the same time interval (AVISO data set). A further comparison has been performed, over the period 1993-2013, using the CCI satellite altimetry data set which has been generated using an updated modeling. The absolute sea level trends obtained from satellite altimetry and GPS-corrected tide gauge data are mostly consistent, meaning that GPS data have provided reliable corrections for most of the sites. The trend values range between +2.5 and +4 mm/yr almost everywhere in the Mediterranean area, the largest trends were found in the Northern Adriatic Sea and in the Aegean. These results are in agreement with estimates of the global mean sea level rise over the last two decades. Where GPS data were not available, information on the vertical land motion deduced from the differences between absolute and relative trends are in agreement with the results of other studies.

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This abstract presents the biomechanical model that is used in the European ContraCancrum project, aiming at simulating tumor evolution in the brain and lung. The construction of the finite element model as well as a simulation of tumor growth are shown. The construction of the mesh is fully automatic and is therefore compatible with a clinical application. This biomechanical model will be later combined to a cellular level simulator also developed in the project.

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Neurally adjusted ventilatory assist (NAVA) delivers airway pressure (P(aw)) in proportion to the electrical activity of the diaphragm (EAdi) using an adjustable proportionality constant (NAVA level, cm·H(2)O/μV). During systematic increases in the NAVA level, feedback-controlled down-regulation of the EAdi results in a characteristic two-phased response in P(aw) and tidal volume (Vt). The transition from the 1st to the 2nd response phase allows identification of adequate unloading of the respiratory muscles with NAVA (NAVA(AL)). We aimed to develop and validate a mathematical algorithm to identify NAVA(AL). P(aw), Vt, and EAdi were recorded while systematically increasing the NAVA level in 19 adult patients. In a multistep approach, inspiratory P(aw) peaks were first identified by dividing the EAdi into inspiratory portions using Gaussian mixture modeling. Two polynomials were then fitted onto the curves of both P(aw) peaks and Vt. The beginning of the P(aw) and Vt plateaus, and thus NAVA(AL), was identified at the minimum of squared polynomial derivative and polynomial fitting errors. A graphical user interface was developed in the Matlab computing environment. Median NAVA(AL) visually estimated by 18 independent physicians was 2.7 (range 0.4 to 5.8) cm·H(2)O/μV and identified by our model was 2.6 (range 0.6 to 5.0) cm·H(2)O/μV. NAVA(AL) identified by our model was below the range of visually estimated NAVA(AL) in two instances and was above in one instance. We conclude that our model identifies NAVA(AL) in most instances with acceptable accuracy for application in clinical routine and research.

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Modeling of tumor growth has been performed according to various approaches addressing different biocomplexity levels and spatiotemporal scales. Mathematical treatments range from partial differential equation based diffusion models to rule-based cellular level simulators, aiming at both improving our quantitative understanding of the underlying biological processes and, in the mid- and long term, constructing reliable multi-scale predictive platforms to support patient-individualized treatment planning and optimization. The aim of this paper is to establish a multi-scale and multi-physics approach to tumor modeling taking into account both the cellular and the macroscopic mechanical level. Therefore, an already developed biomodel of clinical tumor growth and response to treatment is self-consistently coupled with a biomechanical model. Results are presented for the free growth case of the imageable component of an initially point-like glioblastoma multiforme tumor. The composite model leads to significant tumor shape corrections that are achieved through the utilization of environmental pressure information and the application of biomechanical principles. Using the ratio of smallest to largest moment of inertia of the tumor material to quantify the effect of our coupled approach, we have found a tumor shape correction of 20\% by coupling biomechanics to the cellular simulator as compared to a cellular simulation without preferred growth directions. We conclude that the integration of the two models provides additional morphological insight into realistic tumor growth behavior. Therefore, it might be used for the development of an advanced oncosimulator focusing on tumor types for which morphology plays an important role in surgical and/or radio-therapeutic treatment planning.